Mostly AI

Enabling Privacy-Preserving Big Data

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About Mostly AI
The Synthetic Data Engine by Mostly AI allows to simulate realistic & representative synthetic data at scale, by automatically learning patterns, structure and variation from existing data. It leverages state-of-the-art generative deep neural networks with in-built priva...
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$25 - $49/hr
2 - 9
2017
Austria
Mostly AI
Enabling Privacy-Preserving Big Data
0.00/5 (0 Reviews)
27 Questions
Every organization finds it challenging to keep up with the competition, and that demands them to implement an AI marketing tool. AI-based Digital Marketing tools help your business get success and deliver efficient marketing experience. Before finding out the right AI tools, it's essential to understand their significance in digital marketing techniques. AI tools enhance precision & accuracy with a near-zero error. Data mining is an immense task when performed by AI tools. Cross-device data collaboration is made possible with AI, thereby reducing the manual tasks. AI keeps updating to future benefits. AI tools analyze customer behavior quickly. AI tools enhance user experience. AI tools implement effective marketing strategies as per customer preferences. AI tools make it possible to complete tasks on time, thereby increasing productivity. With the right AI tools, ROI can be estimated before initiating campaigns. Let’s explore some of the most efficient AI tools in the market that could assist in formulating right digital marketing strategies: Acquisio Turing: Acquisio Turing consists of high predictive protocols that are combined to use search campaign data on different platforms. Acquisio Turing performs even more effectively by implementing some potential metrics like visits in a day/week, demographic performance, and other features for smart bidding. 2. Acrolinx: This tool implements the use of machine learning, NLP, and other exceptional algorithms to demonstrate campaigns across various channels and devices. 3. Atomat: This is one of the most efficient AI software used in digital marketing that provides customized content at every level of the marketing funnel. Atomat also suggests customized content for the audience falling under specific categories of the funnel. 4. Bloomreach: This is a readily available and smart tool for organizations to analyze almost any sort of marketing strategy ranging from estimation to execution. Bloomreach also optimizes campaigns for successful marketing campaigns. 5. Boost Linguistics: - One of the unique features of this tool is that it inspects browser experience to make the website completely user friendly in terms of layout, functionality, page accessibility, and several other features that help to drive the highest traffic. 6. CaliberMind: This tool creates more extensive opportunities to B2B organizations to receive new inquiries and multiplies the revenue without loss. 7. Concured: This specialized platform identifies a user's historical behavior and suggests the type of marketing that would bring more engagement to your business. 8. IBM Watson: This platform is one of the most reliable AI marketing portals that analyze user patterns. IBM Watson also provides live personalization models along with proper analysis like no other tool in the market. 9. HubSpot: Hubspot provides top-notch digital solutions for content to help target the market. Moreover, it uses machine learning technology to predict the lead scoring to tell users which prospect is most likely to buy the product/service. 10. Google Cloud AI: Google Cloud is one of the most popular names in the market that builds chatbots for self. This tool also performs content analysis over text, images, and other media contents. Final Words: Digital marketing implements that concept of 'Time is Money' where every penny invested is less important than the time taken to see the outcomes through it. By applying AI tools in your digital marketing techniques, you can complete your tasks on time with near to accurate prediction. In short, the implementation of AI tools in the form of automation can help you gain better success in less time.
Every organization finds it challenging to keep up with the competition, and that demands them to implement an AI marketing tool. AI-based Digital Marketing tools help your business get success and deliver efficient marketing experience. Before finding out the right AI tools, it's essential to understand their significance in digital marketing techniques. AI tools enhance precision & accuracy with a near-zero error. Data mining is an immense task when performed by AI tools. Cross-device data collaboration is made possible with AI, thereby reducing the manual tasks. AI keeps updating to future benefits. AI tools analyze customer behavior quickly. AI tools enhance user experience. AI tools implement effective marketing strategies as per customer preferences. AI tools make it possible to complete tasks on time, thereby increasing productivity. With the right AI tools, ROI can be estimated before initiating campaigns. Let’s explore some of the most efficient AI tools in the market that could assist in formulating right digital marketing strategies: Acquisio Turing: Acquisio Turing consists of high predictive protocols that are combined to use search campaign data on different platforms. Acquisio Turing performs even more effectively by implementing some potential metrics like visits in a day/week, demographic performance, and other features for smart bidding. 2. Acrolinx: This tool implements the use of machine learning, NLP, and other exceptional algorithms to demonstrate campaigns across various channels and devices. 3. Atomat: This is one of the most efficient AI software used in digital marketing that provides customized content at every level of the marketing funnel. Atomat also suggests customized content for the audience falling under specific categories of the funnel. 4. Bloomreach: This is a readily available and smart tool for organizations to analyze almost any sort of marketing strategy ranging from estimation to execution. Bloomreach also optimizes campaigns for successful marketing campaigns. 5. Boost Linguistics: - One of the unique features of this tool is that it inspects browser experience to make the website completely user friendly in terms of layout, functionality, page accessibility, and several other features that help to drive the highest traffic. 6. CaliberMind: This tool creates more extensive opportunities to B2B organizations to receive new inquiries and multiplies the revenue without loss. 7. Concured: This specialized platform identifies a user's historical behavior and suggests the type of marketing that would bring more engagement to your business. 8. IBM Watson: This platform is one of the most reliable AI marketing portals that analyze user patterns. IBM Watson also provides live personalization models along with proper analysis like no other tool in the market. 9. HubSpot: Hubspot provides top-notch digital solutions for content to help target the market. Moreover, it uses machine learning technology to predict the lead scoring to tell users which prospect is most likely to buy the product/service. 10. Google Cloud AI: Google Cloud is one of the most popular names in the market that builds chatbots for self. This tool also performs content analysis over text, images, and other media contents. Final Words: Digital marketing implements that concept of 'Time is Money' where every penny invested is less important than the time taken to see the outcomes through it. By applying AI tools in your digital marketing techniques, you can complete your tasks on time with near to accurate prediction. In short, the implementation of AI tools in the form of automation can help you gain better success in less time.

Every organization finds it challenging to keep up with the competition, and that demands them to implement an AI marketing tool. AI-based Digital Marketing tools help your business get success and deliver efficient marketing experience.

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Before finding out the right AI tools, it's essential to understand their significance in digital marketing techniques.

  • AI tools enhance precision & accuracy with a near-zero error.
  • Data mining is an immense task when performed by AI tools.
  • Cross-device data collaboration is made possible with AI, thereby reducing the manual tasks.
  • AI keeps updating to future benefits.
  • AI tools analyze customer behavior quickly.
  • AI tools enhance user experience.
  • AI tools implement effective marketing strategies as per customer preferences.
  • AI tools make it possible to complete tasks on time, thereby increasing productivity.
  • With the right AI tools, ROI can be estimated before initiating campaigns.

Let’s explore some of the most efficient AI tools in the market that could assist in formulating right digital marketing strategies:

  1. Acquisio Turing: Acquisio Turing consists of high predictive protocols that are combined to use search campaign data on different platforms. Acquisio Turing performs even more effectively by implementing some potential metrics like visits in a day/week, demographic performance, and other features for smart bidding.

2. Acrolinx: This tool implements the use of machine learning, NLP, and other exceptional algorithms to demonstrate campaigns across various channels and devices.

3. Atomat: This is one of the most efficient AI software used in digital marketing that provides customized content at every level of the marketing funnel. Atomat also suggests customized content for the audience falling under specific categories of the funnel.

4. Bloomreach: This is a readily available and smart tool for organizations to analyze almost any sort of marketing strategy ranging from estimation to execution. Bloomreach also optimizes campaigns for successful marketing campaigns.

5. Boost Linguistics: - One of the unique features of this tool is that it inspects browser experience to make the website completely user friendly in terms of layout, functionality, page accessibility, and several other features that help to drive the highest traffic.

6. CaliberMind: This tool creates more extensive opportunities to B2B organizations to receive new inquiries and multiplies the revenue without loss.

7. Concured: This specialized platform identifies a user's historical behavior and suggests the type of marketing that would bring more engagement to your business.

8. IBM Watson: This platform is one of the most reliable AI marketing portals that analyze user patterns. IBM Watson also provides live personalization models along with proper analysis like no other tool in the market.

9. HubSpot: Hubspot provides top-notch digital solutions for content to help target the market. Moreover, it uses machine learning technology to predict the lead scoring to tell users which prospect is most likely to buy the product/service.

10. Google Cloud AI: Google Cloud is one of the most popular names in the market that builds chatbots for self. This tool also performs content analysis over text, images, and other media contents.

Final Words:

Digital marketing implements that concept of 'Time is Money' where every penny invested is less important than the time taken to see the outcomes through it. By applying AI tools in your digital marketing techniques, you can complete your tasks on time with near to accurate prediction. In short, the implementation of AI tools in the form of automation can help you gain better success in less time.

The answer to this is None. It may showcase some minute effects on a small scale but the majority is un-affected. On saying this, a recent survey from the United States showed that most of the end-users prefer to have a solution that is AI-based rather than opting for something which is manual. The best example in my mind goes to that of Snapchat filters or Self Learning ChatBots who have been actively assisting the end-users rather than putting the bulk in a queue.
The answer to this is None. It may showcase some minute effects on a small scale but the majority is un-affected. On saying this, a recent survey from the United States showed that most of the end-users prefer to have a solution that is AI-based rather than opting for something which is manual. The best example in my mind goes to that of Snapchat filters or Self Learning ChatBots who have been actively assisting the end-users rather than putting the bulk in a queue.

The answer to this is None. It may showcase some minute effects on a small scale but the majority is un-affected. On saying this, a recent survey from the United States showed that most of the end-users prefer to have a solution that is AI-based rather than opting for something which is manual.

The best example in my mind goes to that of Snapchat filters or Self Learning ChatBots who have been actively assisting the end-users rather than putting the bulk in a queue.

Most of the time, when we cover how the digital revolution is taking over the multiple industries which are coming up, we are mostly talking about automation. However, there are several mind-blowing applications or AI tools available in the market that perform several complex tasks that humans can complete by consuming a lot of time, which they can complete in a snap. Soon to be launched, the ONPASSIVE platform is developing many AI-empowered tools that are cost-effective and highly productive, especially when any business wants tools to attract more traffic. In today’s data-driven world, just targeting text content to the audience is never enough to increase the conversion rate. Let’s cover ONPASSIVE tools that will help any business in their campaigns: AMP (Accelerated Mobile Pages): This is the technology that optimizes the website for mobile devices. It enables a company to create interactive content, and subscribers can connect or interact in multiple ways, like browsing through various galleries, shopping carts, or while modifying an order and via completing a survey. If any target audience does not support the AMP version not to worry, it will get replaced by a regular HTML version. Geo-targeting: Geo-targeting is sending promotional content via text or notification based on customers’ real-time geo-location. The tool of geographical location which is currently employed by most of the businesses is geo-targeting, but geo-fencing is among the tools which have gained a name in very little time. Geo-targeting triggers the notifications based on the location (Country, region, or city), whereas geo-fencing triggers the announcements based on their site that is supposed to be within the radius of 1-2 km. Exceptional segmentation: This ONPASSIVE tool has capabilities to segment the data and analyze customer behavior to find out patterns enabling a company to target the potential customers at the right time to enhance the conversion rate of a business. High-level audience segmentation empowers a business to offer your possible audience with relevant products based on their activities. Personalized Notification: Content personalization represents the direct targeting of specific audiences with specific products, and you can create content according to potential customers. By segmenting the target audience, your business can approach different audiences based on their particular characteristic or the intention of your business. Releasing the time of push notification could be according to customer interaction. Push notifications may incorporate reminders of products in favorite lists or cart list. Gamification: Gamification is one of the best ways to interact with new subscribers or to activate the sleeping subscribers. This interactive element is not for direct sales. Still, in the end, it leads audiences towards a certain amount of discount or offers for their purchase, which increases the sale opportunities for the business. The only thing a business needs to keep in mind is the policies of participation and claiming for reward should be as transparent as water. It is the time for the business to employ AI in its process with the ONPASSIVE platform, which serves them to grow along with their business. The new emerging companies should leverage AI-powered tools offered by ONPASSIVE for the smooth running of their business process. ONPASSIVE is a soon to be launched business solution platform which enables any business to grow by leveraging AI capabilities in their tools to meet modern-day advance audiences’ expectation.
Most of the time, when we cover how the digital revolution is taking over the multiple industries which are coming up, we are mostly talking about automation. However, there are several mind-blowing applications or AI tools available in the market that perform several complex tasks that humans can complete by consuming a lot of time, which they can complete in a snap. Soon to be launched, the ONPASSIVE platform is developing many AI-empowered tools that are cost-effective and highly productive, especially when any business wants tools to attract more traffic. In today’s data-driven world, just targeting text content to the audience is never enough to increase the conversion rate. Let’s cover ONPASSIVE tools that will help any business in their campaigns: AMP (Accelerated Mobile Pages): This is the technology that optimizes the website for mobile devices. It enables a company to create interactive content, and subscribers can connect or interact in multiple ways, like browsing through various galleries, shopping carts, or while modifying an order and via completing a survey. If any target audience does not support the AMP version not to worry, it will get replaced by a regular HTML version. Geo-targeting: Geo-targeting is sending promotional content via text or notification based on customers’ real-time geo-location. The tool of geographical location which is currently employed by most of the businesses is geo-targeting, but geo-fencing is among the tools which have gained a name in very little time. Geo-targeting triggers the notifications based on the location (Country, region, or city), whereas geo-fencing triggers the announcements based on their site that is supposed to be within the radius of 1-2 km. Exceptional segmentation: This ONPASSIVE tool has capabilities to segment the data and analyze customer behavior to find out patterns enabling a company to target the potential customers at the right time to enhance the conversion rate of a business. High-level audience segmentation empowers a business to offer your possible audience with relevant products based on their activities. Personalized Notification: Content personalization represents the direct targeting of specific audiences with specific products, and you can create content according to potential customers. By segmenting the target audience, your business can approach different audiences based on their particular characteristic or the intention of your business. Releasing the time of push notification could be according to customer interaction. Push notifications may incorporate reminders of products in favorite lists or cart list. Gamification: Gamification is one of the best ways to interact with new subscribers or to activate the sleeping subscribers. This interactive element is not for direct sales. Still, in the end, it leads audiences towards a certain amount of discount or offers for their purchase, which increases the sale opportunities for the business. The only thing a business needs to keep in mind is the policies of participation and claiming for reward should be as transparent as water. It is the time for the business to employ AI in its process with the ONPASSIVE platform, which serves them to grow along with their business. The new emerging companies should leverage AI-powered tools offered by ONPASSIVE for the smooth running of their business process. ONPASSIVE is a soon to be launched business solution platform which enables any business to grow by leveraging AI capabilities in their tools to meet modern-day advance audiences’ expectation.

Most of the time, when we cover how the digital revolution is taking over the multiple industries which are coming up, we are mostly talking about automation. However, there are several mind-blowing applications or AI tools available in the market that perform several complex tasks that humans can complete by consuming a lot of time, which they can complete in a snap.

Soon to be launched, the ONPASSIVE platform is developing many AI-empowered tools that are cost-effective and highly productive, especially when any business wants tools to attract more traffic.

In today’s data-driven world, just targeting text content to the audience is never enough to increase the conversion rate. Let’s cover ONPASSIVE tools that will help any business in their campaigns:

AMP (Accelerated Mobile Pages):

This is the technology that optimizes the website for mobile devices. It enables a company to create interactive content, and subscribers can connect or interact in multiple ways, like browsing through various galleries, shopping carts, or while modifying an order and via completing a survey. If any target audience does not support the AMP version not to worry, it will get replaced by a regular HTML version.

Geo-targeting:

Geo-targeting is sending promotional content via text or notification based on customers’ real-time geo-location. The tool of geographical location which is currently employed by most of the businesses is geo-targeting, but geo-fencing is among the tools which have gained a name in very little time. Geo-targeting triggers the notifications based on the location (Country, region, or city), whereas geo-fencing triggers the announcements based on their site that is supposed to be within the radius of 1-2 km.

Exceptional segmentation:

This ONPASSIVE tool has capabilities to segment the data and analyze customer behavior to find out patterns enabling a company to target the potential customers at the right time to enhance the conversion rate of a business. High-level audience segmentation empowers a business to offer your possible audience with relevant products based on their activities.

Personalized Notification:

Content personalization represents the direct targeting of specific audiences with specific products, and you can create content according to potential customers. By segmenting the target audience, your business can approach different audiences based on their particular characteristic or the intention of your business. Releasing the time of push notification could be according to customer interaction. Push notifications may incorporate reminders of products in favorite lists or cart list.

Gamification:

Gamification is one of the best ways to interact with new subscribers or to activate the sleeping subscribers. This interactive element is not for direct sales. Still, in the end, it leads audiences towards a certain amount of discount or offers for their purchase, which increases the sale opportunities for the business. The only thing a business needs to keep in mind is the policies of participation and claiming for reward should be as transparent as water.

It is the time for the business to employ AI in its process with the ONPASSIVE platform, which serves them to grow along with their business. The new emerging companies should leverage AI-powered tools offered by ONPASSIVE for the smooth running of their business process.

ONPASSIVE is a soon to be launched business solution platform which enables any business to grow by leveraging AI capabilities in their tools to meet modern-day advance audiences’ expectation.

Undoubtedly, Airbnb that serves as the online property leasing marketplace has immensely gained popularity. Both property owners and renters gain a lot of benefits from Airbnb. This online platform provides lots of convenience to the users. The property owners can reach renters extensively with the help of Airbnb. It is easy and simple for the guests to search the properties by location, availability, and price by making use of this online platform. Investors can easily list their properties with the help of Airbnb.Anyone can start a business like Airbnb. If you are interested in starting a business like-Airbnb, then have a look at the below-mentioned steps:Step 1Lay down the expectations- It is essential to recognize your priorities, which in turn helps make business decisions. As an investor, you should know:How many properties do you want to rent?What should be income?What will be the estimated time commitment that will be taken on?Step 2Search the right location along with the property- To buy the rental property, you can conduct the real estate market analysis that will help you buy the apt place. Make sure you think about locations that have many facilities and are close to city centers. It would be great if your site enjoys a high influx of tourists and travelers. The real estate investor can have high occupancy rates, return on investment, and rental income by giving importance to the right location and property.In some cities, you can observe the listings for houses, apartments, houseboats, and condos. Identify which property-type can meet your expectations. Explore the areas that attract most of the tourists. Check whether you prefer a city apartment or beach gateway. Make sure you choose the apt property for your business. It would be great to keep your end goal in mind while going through the research options.Step 3Set up the Property- Make your property ready for target tenants as per their requirements so that they can have a pleasant stay. You can employ professional cleaning services that can help you in cleaning the property. If your investment property demands any repairing work, then you should pay attention to it. You can attract your tenants by providing them all necessary items like kitchen cutlery, clean towels, coupons of some city’s attractions like historical places, theatres, and much more.Step 4Know the Costs- Fees are associated with the booking guests. The fees can range from three and five percent of the total booking costs. There are costs associated with the furnishing, preserving the Airbnb property, business licenses, and insurance. The starting of the Airbnb business includes upfront costs, amenities, and furniture costs. Step 5Familiar with the law- Before purchasing a property, the property owner should know the law. It is good to read through Airbnb’s agreements and host rules. Consult the rules of the homeowners association based on the type of property the owner owns.Design your business- For attracting the tenants, there should be a marketing and advertising strategy for rental properties. Future marketing strategies can be set by laying out the organizational structure of the business. Create a logo, color scheme, and any tag lines for your business.Step 6 Set the price of your rental – Make sure you find the perfect balance for pricing your rental place. Rental prices should not be too high or too low. In the neighborhood, you can see the nightly rates of similar properties that will help you find the perfect balance. You can decide the price during on and off seasons and holidays.After undertaking the steps mentioned above, now its time to list the property. Ensure you create a strong title for your property and prepare all the details related to property type and pricing. Inform your guests about the facilities you are providing in your rental properties like wifi, laundry, pool, parking, and other common amenities. You can upload the exterior and interior pictures of your property.Conclusion Investors can effortlessly start their business like-Airbnb by following the steps mentioned above. Investors must do thorough research regarding the properties. They should market their property and offers a positive guest experience to their valuable guests. 
Undoubtedly, Airbnb that serves as the online property leasing marketplace has immensely gained popularity. Both property owners and renters gain a lot of benefits from Airbnb. This online platform provides lots of convenience to the users. The property owners can reach renters extensively with the help of Airbnb. It is easy and simple for the guests to search the properties by location, availability, and price by making use of this online platform. Investors can easily list their properties with the help of Airbnb.Anyone can start a business like Airbnb. If you are interested in starting a business like-Airbnb, then have a look at the below-mentioned steps:Step 1Lay down the expectations- It is essential to recognize your priorities, which in turn helps make business decisions. As an investor, you should know:How many properties do you want to rent?What should be income?What will be the estimated time commitment that will be taken on?Step 2Search the right location along with the property- To buy the rental property, you can conduct the real estate market analysis that will help you buy the apt place. Make sure you think about locations that have many facilities and are close to city centers. It would be great if your site enjoys a high influx of tourists and travelers. The real estate investor can have high occupancy rates, return on investment, and rental income by giving importance to the right location and property.In some cities, you can observe the listings for houses, apartments, houseboats, and condos. Identify which property-type can meet your expectations. Explore the areas that attract most of the tourists. Check whether you prefer a city apartment or beach gateway. Make sure you choose the apt property for your business. It would be great to keep your end goal in mind while going through the research options.Step 3Set up the Property- Make your property ready for target tenants as per their requirements so that they can have a pleasant stay. You can employ professional cleaning services that can help you in cleaning the property. If your investment property demands any repairing work, then you should pay attention to it. You can attract your tenants by providing them all necessary items like kitchen cutlery, clean towels, coupons of some city’s attractions like historical places, theatres, and much more.Step 4Know the Costs- Fees are associated with the booking guests. The fees can range from three and five percent of the total booking costs. There are costs associated with the furnishing, preserving the Airbnb property, business licenses, and insurance. The starting of the Airbnb business includes upfront costs, amenities, and furniture costs. Step 5Familiar with the law- Before purchasing a property, the property owner should know the law. It is good to read through Airbnb’s agreements and host rules. Consult the rules of the homeowners association based on the type of property the owner owns.Design your business- For attracting the tenants, there should be a marketing and advertising strategy for rental properties. Future marketing strategies can be set by laying out the organizational structure of the business. Create a logo, color scheme, and any tag lines for your business.Step 6 Set the price of your rental – Make sure you find the perfect balance for pricing your rental place. Rental prices should not be too high or too low. In the neighborhood, you can see the nightly rates of similar properties that will help you find the perfect balance. You can decide the price during on and off seasons and holidays.After undertaking the steps mentioned above, now its time to list the property. Ensure you create a strong title for your property and prepare all the details related to property type and pricing. Inform your guests about the facilities you are providing in your rental properties like wifi, laundry, pool, parking, and other common amenities. You can upload the exterior and interior pictures of your property.Conclusion Investors can effortlessly start their business like-Airbnb by following the steps mentioned above. Investors must do thorough research regarding the properties. They should market their property and offers a positive guest experience to their valuable guests. 

Undoubtedly, Airbnb that serves as the online property leasing marketplace has immensely gained popularity. Both property owners and renters gain a lot of benefits from Airbnb. This online platform provides lots of convenience to the users. The property owners can reach renters extensively with the help of Airbnb. It is easy and simple for the guests to search the properties by location, availability, and price by making use of this online platform. Investors can easily list their properties with the help of Airbnb.

Anyone can start a business like Airbnb. If you are interested in starting a business like-Airbnb, then have a look at the below-mentioned steps:

Step 1

Lay down the expectations- It is essential to recognize your priorities, which in turn helps make business decisions. As an investor, you should know:

  • How many properties do you want to rent?
  • What should be income?
  • What will be the estimated time commitment that will be taken on?

Step 2

Search the right location along with the propertyTo buy the rental property, you can conduct the real estate market analysis that will help you buy the apt place. Make sure you think about locations that have many facilities and are close to city centers. It would be great if your site enjoys a high influx of tourists and travelers. The real estate investor can have high occupancy rates, return on investment, and rental income by giving importance to the right location and property.

In some cities, you can observe the listings for houses, apartments, houseboats, and condos. Identify which property-type can meet your expectations. Explore the areas that attract most of the tourists. Check whether you prefer a city apartment or beach gateway. Make sure you choose the apt property for your business. It would be great to keep your end goal in mind while going through the research options.

Step 3

Set up the PropertyMake your property ready for target tenants as per their requirements so that they can have a pleasant stay. You can employ professional cleaning services that can help you in cleaning the property. If your investment property demands any repairing work, then you should pay attention to it. You can attract your tenants by providing them all necessary items like kitchen cutlery, clean towels, coupons of some city’s attractions like historical places, theatres, and much more.

Step 4

Know the CostsFees are associated with the booking guests. The fees can range from three and five percent of the total booking costs. There are costs associated with the furnishing, preserving the Airbnb property, business licenses, and insurance. The starting of the Airbnb business includes upfront costs, amenities, and furniture costs. 

Step 5

Familiar with the law- Before purchasing a property, the property owner should know the law. It is good to read through Airbnb’s agreements and host rules. Consult the rules of the homeowners association based on the type of property the owner owns.

Design your business- For attracting the tenants, there should be a marketing and advertising strategy for rental properties. Future marketing strategies can be set by laying out the organizational structure of the business. Create a logo, color scheme, and any tag lines for your business.

Step 6 

Set the price of your rental – Make sure you find the perfect balance for pricing your rental place. Rental prices should not be too high or too low. In the neighborhood, you can see the nightly rates of similar properties that will help you find the perfect balance. You can decide the price during on and off seasons and holidays.

After undertaking the steps mentioned above, now its time to list the property. Ensure you create a strong title for your property and prepare all the details related to property type and pricing. Inform your guests about the facilities you are providing in your rental properties like wifi, laundry, pool, parking, and other common amenities. You can upload the exterior and interior pictures of your property.

Conclusion 

Investors can effortlessly start their business like-Airbnb by following the steps mentioned above. Investors must do thorough research regarding the properties. They should market their property and offers a positive guest experience to their valuable guests.

 

Artificial intelligence is the creation of machines that can think and make decisions like humans and perform tasks more accurately. This technology is considered as the upcoming industrial revolution that can provide a solution to most of the problems globally. Also, AI can overcome various challenges that might occur in the future. Artificial intelligence is a futuristic technology that can build new industries, techniques, and environments altogether. Some researchers suggest that AI would create 2.3 million job opportunities in 2020, covering various domains of technologies. AI would also drive digital marketing to some extent. Let’s discuss the impacts of Artificial Intelligence on social media and digital marketing trends: Chatbots: The chatbots are computer-generated programs that are developed for communicating with online customers. These chats can be integrated into websites and social media pages, and even complete an order for customers. Chatbots improve engagement, and also provide 24/7 assistance to the customers simultaneously. They assist the customers by responding immediately to their queries through chat communication. Many e-commerce businesses have already implemented chatbots to provide better assistance to their customers. The beauty of chatbots is that many times the customer does not even realize that they are interacting with a machine and not human. Semantic search: Semantic search is a program that is explicitly designed to assist clients in finding answers for them quickly. It basically is a data searching technique that understands the user’s requirements and contextual meaning of a search query. Artificial Intelligence technology recognizes the significance of search phrases and also relates the sentences with the words in the search query. The semantic search takes into account several critical factors such as user's search history, previously stored data, current location, spelling alterations, periodic trends, local information, synonyms, concept matching, and time of the search before displaying the results. Content Curation: Artificial Intelligence can assist digital marketers by writing data-centric content such as sports stories, stock updates, and financial reports. AI technology can also help marketers to produce 2000 articles in a second. Also, marketing content creation with AI will be more effective. Ad Targeting: Ads are an essential aspect of a digital marketing campaign and brand promotion. Artificial Intelligence can generate and promote online Ads based on a user’s interests, preferences, likes, and dislikes. Predictive Marketing: Predictive marketing is a form of digital marketing based on forecasting marketing success and in predicting future business precisely. This technique also involves predictive analytics data mining, machine learning, and artificial intelligence strategies to evaluate historical data to predict future trends. AI technology directly collects information about the user’s online behavior by the content they browse regularly. AI further analyzes this data as it reveals information on the buying frequency and brand preferences of the user. AI helps marketing companies to understand the user’s requirements and preferences by analyzing their data. Hence, this technology turns out to be the best technology to predict the buying behavior of a prospect. Moreover, the predictive analysis also assists organizations in managing their production plan based on demand and supply prediction. Voice Search: Various research suggested that by 2020, almost 50% of all the searches would be carried out as voice search. Siri and Google assistants are a type of voice search assistants developed by Apple and Google, respectively. As voice search is gaining popularity, it will soon take over the market, so a proper SEO strategy needs to be developed. This makes it a prerequisite for marketers to optimize their content with voice friendly long-tail keywords for local search. It is found that the users speak words like “near me” more often in a voice search. Hence, the marketers and SEO experts need to optimize their sites for local search and provide easy and quick assistance to the users. Target Audience: If you are an online business or a marketing firm, targeting the right audience is the most crucial step for you. Google Analytics, driven by AI functions by segmenting the audience based on location, demographics like age, gender, education, income, profession, and other factors. The segmentation is also done based on psychographics like interest, preferences, attitudes, and lots more. Hence, the segmentation process assists marketers in deciding which target audience is best for their product or service. An extensive set of data can be collected from a single profile with the help of AI. Hence, digital marketers or organizations can promote products to different customer segments efficiently. A/B Testing: A/B testing, aka split testing or bucket testing, is an online marketing strategy that parallels two versions of web pages. This comparison is made to identify, which users most prefer one, or which version of your web page generates more conversions or leads. AI tools are used to increase the effectiveness of the conversion rate as this technology tests various hypotheses at a time and provides results much quicker and more efficiently than humans. Lead Scoring: Lead scoring is terminology for ranking leads based on customer behavior considering their interest in product or service. This methodology also identifies the customer’s current place in their buying cycle to identify who is likely to engage or buy. Companies can score leads by using terms like hot, warm, and cold determining as the lead that is ready to buy to an edge that is least interested in purchasing the product, respectively. AI can automatically prioritize real hot leads, and it helps to enhance sales productivity. Image Recognition: As far as digital marketing is concerned, images are the effective tools to engage people and can help identify consumer behavior patterns. Software recognition tools powered by AI can help in collecting actionable insights to understand the shift in user patterns through various images on social media. Last Words: Artificial Intelligence has been implemented across different industries in a short period. This technology drives various opportunities of achieving things with a higher degree of accuracy. With the assistance of Artificial intelligence, digital marketers can make data-driven decisions for better campaign results. This revolutionary technology can leverage the prediction efficiency to identify their potential customers, purchasing behavior to achieve higher sales, and better customer satisfaction.
Artificial intelligence is the creation of machines that can think and make decisions like humans and perform tasks more accurately. This technology is considered as the upcoming industrial revolution that can provide a solution to most of the problems globally. Also, AI can overcome various challenges that might occur in the future. Artificial intelligence is a futuristic technology that can build new industries, techniques, and environments altogether. Some researchers suggest that AI would create 2.3 million job opportunities in 2020, covering various domains of technologies. AI would also drive digital marketing to some extent. Let’s discuss the impacts of Artificial Intelligence on social media and digital marketing trends: Chatbots: The chatbots are computer-generated programs that are developed for communicating with online customers. These chats can be integrated into websites and social media pages, and even complete an order for customers. Chatbots improve engagement, and also provide 24/7 assistance to the customers simultaneously. They assist the customers by responding immediately to their queries through chat communication. Many e-commerce businesses have already implemented chatbots to provide better assistance to their customers. The beauty of chatbots is that many times the customer does not even realize that they are interacting with a machine and not human. Semantic search: Semantic search is a program that is explicitly designed to assist clients in finding answers for them quickly. It basically is a data searching technique that understands the user’s requirements and contextual meaning of a search query. Artificial Intelligence technology recognizes the significance of search phrases and also relates the sentences with the words in the search query. The semantic search takes into account several critical factors such as user's search history, previously stored data, current location, spelling alterations, periodic trends, local information, synonyms, concept matching, and time of the search before displaying the results. Content Curation: Artificial Intelligence can assist digital marketers by writing data-centric content such as sports stories, stock updates, and financial reports. AI technology can also help marketers to produce 2000 articles in a second. Also, marketing content creation with AI will be more effective. Ad Targeting: Ads are an essential aspect of a digital marketing campaign and brand promotion. Artificial Intelligence can generate and promote online Ads based on a user’s interests, preferences, likes, and dislikes. Predictive Marketing: Predictive marketing is a form of digital marketing based on forecasting marketing success and in predicting future business precisely. This technique also involves predictive analytics data mining, machine learning, and artificial intelligence strategies to evaluate historical data to predict future trends. AI technology directly collects information about the user’s online behavior by the content they browse regularly. AI further analyzes this data as it reveals information on the buying frequency and brand preferences of the user. AI helps marketing companies to understand the user’s requirements and preferences by analyzing their data. Hence, this technology turns out to be the best technology to predict the buying behavior of a prospect. Moreover, the predictive analysis also assists organizations in managing their production plan based on demand and supply prediction. Voice Search: Various research suggested that by 2020, almost 50% of all the searches would be carried out as voice search. Siri and Google assistants are a type of voice search assistants developed by Apple and Google, respectively. As voice search is gaining popularity, it will soon take over the market, so a proper SEO strategy needs to be developed. This makes it a prerequisite for marketers to optimize their content with voice friendly long-tail keywords for local search. It is found that the users speak words like “near me” more often in a voice search. Hence, the marketers and SEO experts need to optimize their sites for local search and provide easy and quick assistance to the users. Target Audience: If you are an online business or a marketing firm, targeting the right audience is the most crucial step for you. Google Analytics, driven by AI functions by segmenting the audience based on location, demographics like age, gender, education, income, profession, and other factors. The segmentation is also done based on psychographics like interest, preferences, attitudes, and lots more. Hence, the segmentation process assists marketers in deciding which target audience is best for their product or service. An extensive set of data can be collected from a single profile with the help of AI. Hence, digital marketers or organizations can promote products to different customer segments efficiently. A/B Testing: A/B testing, aka split testing or bucket testing, is an online marketing strategy that parallels two versions of web pages. This comparison is made to identify, which users most prefer one, or which version of your web page generates more conversions or leads. AI tools are used to increase the effectiveness of the conversion rate as this technology tests various hypotheses at a time and provides results much quicker and more efficiently than humans. Lead Scoring: Lead scoring is terminology for ranking leads based on customer behavior considering their interest in product or service. This methodology also identifies the customer’s current place in their buying cycle to identify who is likely to engage or buy. Companies can score leads by using terms like hot, warm, and cold determining as the lead that is ready to buy to an edge that is least interested in purchasing the product, respectively. AI can automatically prioritize real hot leads, and it helps to enhance sales productivity. Image Recognition: As far as digital marketing is concerned, images are the effective tools to engage people and can help identify consumer behavior patterns. Software recognition tools powered by AI can help in collecting actionable insights to understand the shift in user patterns through various images on social media. Last Words: Artificial Intelligence has been implemented across different industries in a short period. This technology drives various opportunities of achieving things with a higher degree of accuracy. With the assistance of Artificial intelligence, digital marketers can make data-driven decisions for better campaign results. This revolutionary technology can leverage the prediction efficiency to identify their potential customers, purchasing behavior to achieve higher sales, and better customer satisfaction.

Artificial intelligence is the creation of machines that can think and make decisions like humans and perform tasks more accurately. This technology is considered as the upcoming industrial revolution that can provide a solution to most of the problems globally. Also, AI can overcome various challenges that might occur in the future. Artificial intelligence is a futuristic technology that can build new industries, techniques, and environments altogether.

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Some researchers suggest that AI would create 2.3 million job opportunities in 2020, covering various domains of technologies. AI would also drive digital marketing to some extent. Let’s discuss the impacts of Artificial Intelligence on social media and digital marketing trends:

Chatbots:

The chatbots are computer-generated programs that are developed for communicating with online customers. These chats can be integrated into websites and social media pages, and even complete an order for customers. Chatbots improve engagement, and also provide 24/7 assistance to the customers simultaneously. They assist the customers by responding immediately to their queries through chat communication. Many e-commerce businesses have already implemented chatbots to provide better assistance to their customers. The beauty of chatbots is that many times the customer does not even realize that they are interacting with a machine and not human.

Semantic search:

Semantic search is a program that is explicitly designed to assist clients in finding answers for them quickly. It basically is a data searching technique that understands the user’s requirements and contextual meaning of a search query. Artificial Intelligence technology recognizes the significance of search phrases and also relates the sentences with the words in the search query. The semantic search takes into account several critical factors such as user's search history, previously stored data, current location, spelling alterations, periodic trends, local information, synonyms, concept matching, and time of the search before displaying the results.

Content Curation:

Artificial Intelligence can assist digital marketers by writing data-centric content such as sports stories, stock updates, and financial reports. AI technology can also help marketers to produce 2000 articles in a second. Also, marketing content creation with AI will be more effective.

Ad Targeting:

Ads are an essential aspect of a digital marketing campaign and brand promotion. Artificial Intelligence can generate and promote online Ads based on a user’s interests, preferences, likes, and dislikes.

Predictive Marketing:

Predictive marketing is a form of digital marketing based on forecasting marketing success and in predicting future business precisely. This technique also involves predictive analytics data mining, machine learning, and artificial intelligence strategies to evaluate historical data to predict future trends.

AI technology directly collects information about the user’s online behavior by the content they browse regularly. AI further analyzes this data as it reveals information on the buying frequency and brand preferences of the user. AI helps marketing companies to understand the user’s requirements and preferences by analyzing their data. Hence, this technology turns out to be the best technology to predict the buying behavior of a prospect. Moreover, the predictive analysis also assists organizations in managing their production plan based on demand and supply prediction.

Voice Search:

Various research suggested that by 2020, almost 50% of all the searches would be carried out as voice search. Siri and Google assistants are a type of voice search assistants developed by Apple and Google, respectively.

As voice search is gaining popularity, it will soon take over the market, so a proper SEO strategy needs to be developed. This makes it a prerequisite for marketers to optimize their content with voice friendly long-tail keywords for local search. It is found that the users speak words like “near me” more often in a voice search. Hence, the marketers and SEO experts need to optimize their sites for local search and provide easy and quick assistance to the users.

Target Audience:

If you are an online business or a marketing firm, targeting the right audience is the most crucial step for you. Google Analytics, driven by AI functions by segmenting the audience based on location, demographics like age, gender, education, income, profession, and other factors. The segmentation is also done based on psychographics like interest, preferences, attitudes, and lots more. Hence, the segmentation process assists marketers in deciding which target audience is best for their product or service. An extensive set of data can be collected from a single profile with the help of AI. Hence, digital marketers or organizations can promote products to different customer segments efficiently.

A/B Testing:

A/B testing, aka split testing or bucket testing, is an online marketing strategy that parallels two versions of web pages. This comparison is made to identify, which users most prefer one, or which version of your web page generates more conversions or leads. AI tools are used to increase the effectiveness of the conversion rate as this technology tests various hypotheses at a time and provides results much quicker and more efficiently than humans.

Lead Scoring:

Lead scoring is terminology for ranking leads based on customer behavior considering their interest in product or service. This methodology also identifies the customer’s current place in their buying cycle to identify who is likely to engage or buy. Companies can score leads by using terms like hot, warm, and cold determining as the lead that is ready to buy to an edge that is least interested in purchasing the product, respectively. AI can automatically prioritize real hot leads, and it helps to enhance sales productivity.

Image Recognition:

As far as digital marketing is concerned, images are the effective tools to engage people and can help identify consumer behavior patterns. Software recognition tools powered by AI can help in collecting actionable insights to understand the shift in user patterns through various images on social media.

Last Words:

Artificial Intelligence has been implemented across different industries in a short period. This technology drives various opportunities of achieving things with a higher degree of accuracy. With the assistance of Artificial intelligence, digital marketers can make data-driven decisions for better campaign results. This revolutionary technology can leverage the prediction efficiency to identify their potential customers, purchasing behavior to achieve higher sales, and better customer satisfaction.

Of course, AI transforms marketing for your business. It helps change the way people work in profound ways and unlocks massive value to the companies to grow and succeed.AI’s promise and potential amuses marketers today. The content optimization arena majorly uses AI and make the marketers know what is possible with AI. In fact, it designates further pathways for the vendors to experiment and resolve problems. Let us explore how.#1. AI helps in ranking content more effectively. Data-dependent AI systems actually determine the best keyword data and competition metrics to target if you want your content to rank higher on search engines. Most accurate AI-based systems help you understand how your site can rank often and more effectively.#2. AI helps you identify as well as fill the gaps in your content strategy. It does not just determine the best keywords and topics to target but also highlights the missing essence in your content. The AI maps and competitive matrix display exactly what terms to target if you want to beat the competition and reach page one on SERPs.#3. AI can quickly recommend real-time improvements in your content. AI-powered tools determine your content scores and help you improve, including the right keywords and topics in a particular piece of content. It is the most beneficial machine-assisted method to handle SEO practices. #4. It is good to rank for specific terms and cover certain topics, but your aim should be to rank higher in the entire topic category. AI systems can analyze all the key-terms and topics that matter in a particular category by presenting you with a list of all the topics that you want to cover in your content.#5. Other than optimizing the fresh new content, AI also optimizes the existing content. After reading the entire existing website or blog, the AI systems identify the opportunities to improve what is already there. It includes critical SEO updates, additional keywords to target, and the topics or content you should cover or link to. AI is a scientific approach to create and improve the content that improves its potential to rank at the top of SERPs.
Of course, AI transforms marketing for your business. It helps change the way people work in profound ways and unlocks massive value to the companies to grow and succeed.AI’s promise and potential amuses marketers today. The content optimization arena majorly uses AI and make the marketers know what is possible with AI. In fact, it designates further pathways for the vendors to experiment and resolve problems. Let us explore how.#1. AI helps in ranking content more effectively. Data-dependent AI systems actually determine the best keyword data and competition metrics to target if you want your content to rank higher on search engines. Most accurate AI-based systems help you understand how your site can rank often and more effectively.#2. AI helps you identify as well as fill the gaps in your content strategy. It does not just determine the best keywords and topics to target but also highlights the missing essence in your content. The AI maps and competitive matrix display exactly what terms to target if you want to beat the competition and reach page one on SERPs.#3. AI can quickly recommend real-time improvements in your content. AI-powered tools determine your content scores and help you improve, including the right keywords and topics in a particular piece of content. It is the most beneficial machine-assisted method to handle SEO practices. #4. It is good to rank for specific terms and cover certain topics, but your aim should be to rank higher in the entire topic category. AI systems can analyze all the key-terms and topics that matter in a particular category by presenting you with a list of all the topics that you want to cover in your content.#5. Other than optimizing the fresh new content, AI also optimizes the existing content. After reading the entire existing website or blog, the AI systems identify the opportunities to improve what is already there. It includes critical SEO updates, additional keywords to target, and the topics or content you should cover or link to. AI is a scientific approach to create and improve the content that improves its potential to rank at the top of SERPs.

Of course, AI transforms marketing for your business. It helps change the way people work in profound ways and unlocks massive value to the companies to grow and succeed.

AI’s promise and potential amuses marketers today. 

The content optimization arena majorly uses AI and make the marketers know what is possible with AI. In fact, it designates further pathways for the vendors to experiment and resolve problems. Let us explore how.

#1. AI helps in ranking content more effectively. Data-dependent AI systems actually determine the best keyword data and competition metrics to target if you want your content to rank higher on search engines. Most accurate AI-based systems help you understand how your site can rank often and more effectively.

#2. AI helps you identify as well as fill the gaps in your content strategy. It does not just determine the best keywords and topics to target but also highlights the missing essence in your content. The AI maps and competitive matrix display exactly what terms to target if you want to beat the competition and reach page one on SERPs.

#3. AI can quickly recommend real-time improvements in your content. AI-powered tools determine your content scores and help you improve, including the right keywords and topics in a particular piece of content. It is the most beneficial machine-assisted method to handle SEO practices. 

#4. It is good to rank for specific terms and cover certain topics, but your aim should be to rank higher in the entire topic category. AI systems can analyze all the key-terms and topics that matter in a particular category by presenting you with a list of all the topics that you want to cover in your content.

#5. Other than optimizing the fresh new content, AI also optimizes the existing content. After reading the entire existing website or blog, the AI systems identify the opportunities to improve what is already there. It includes critical SEO updates, additional keywords to target, and the topics or content you should cover or link to. 

AI is a scientific approach to create and improve the content that improves its potential to rank at the top of SERPs.

Python has a rich library suitable for AI and data science- NumPy, SciPy, Matplotlib. Seaborn, Scikit Learn, TensorFlow, Keras It is object-oriented and easy to program. It can be also used as frontend language It is also used in soft computing, machine learning, NLP programming and also used as web scripting or in Ethical hacking
Python has a rich library suitable for AI and data science- NumPy, SciPy, Matplotlib. Seaborn, Scikit Learn, TensorFlow, Keras It is object-oriented and easy to program. It can be also used as frontend language It is also used in soft computing, machine learning, NLP programming and also used as web scripting or in Ethical hacking
  • Python has a rich library suitable for AI and data science- NumPy, SciPy, Matplotlib. Seaborn, Scikit Learn, TensorFlow, Keras
  • It is object-oriented and easy to program. It can be also used as frontend language
  • It is also used in soft computing, machine learning, NLP programming and also used as web scripting or in Ethical hacking
  Whatever impact the tweet-tussle between Elon Musk and Mark Zuckerberg had between invasive and non-invasive artificial intelligence, AI-enabled technological devices and solutions continue to fascinate millions of users for never-ending reasons.   Interestingly, 44% of the executives believe that the most important benefit of AI is to supply data for making decisions.   We consume a large amount of data every day, and our brain always looks for the patterns to sense them correctly. Sensors and trackers keep transferring data to-be-used all across the globe using the Internet of Things (IoT) technology. It makes your systems powerful enough to function in the real world, artificially. Facebook automatically suggests you, new friends. Google completes your search before you even type the third letter. Zomato predicts your ‘food of the day,’ and also your phone quickly identifies you well.   The benefits associated with the technology are quite impressive. But far more interesting is, to explore what AI has in its bucket that interests us a lot and that we cannot afford to miss at any cost:   1. The foremost exciting fact is that most of the smartphones come today with AI powered voice assistant like Siri, Alexa, Cortana etc. Interestingly, many are in female voices.   2. Experts suggest that AI reacts like humans. It has now become able to socialize and simulate emotions like humans. For example, the Kismet robot built in the 1990s can fetch and recognize human emotions, voice, and body language.   3. Print space is immensely admiring the concept of ‘Robo-Journalism.’ It is still surprising to know that a robot has already written an article on the earthquake in California for the Los Angeles Times. It collected data and figures from a seismograph.   4. AI bots supported by Machine Learning algorithms suggest products while you shop online. Once you have visited a few of the products online, the AI bots learn and record your preferences and then start recommending products that you could choose.   5. Deep Blue – a product by DeepStack, is an AI-based chess-playing computer that has defeated the presiding world champion, Garry Kasparov, in the year 1997.   6. The global AI-based self-driving car market is expected to touch $173.15 billion by the year 2023. Nvidia has already brought its AI-enabled computer to assist driverless cars.   7. Smart homes automation, security and surveillance through CCTV, and drones are most helpful AI-driven solutions utilized today.   8. Remote working and Virtual Assistance is believed to take over 16% of the jobs in the next ten years.   9. As per Gartner’s recent report, 40% of I&O teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity.   10. According to the Gaurdian, Woebot – an intelligent software application is becoming increasingly popular as a sophisticated tool to help meeting demands for counselling.  Today, technology is entangling more and more in our daily lives, workplaces, and society. Hence, Artificial Intelligence will keep integrating information, analyze data, and use the resulting insights for improved decision-making.
  Whatever impact the tweet-tussle between Elon Musk and Mark Zuckerberg had between invasive and non-invasive artificial intelligence, AI-enabled technological devices and solutions continue to fascinate millions of users for never-ending reasons.   Interestingly, 44% of the executives believe that the most important benefit of AI is to supply data for making decisions.   We consume a large amount of data every day, and our brain always looks for the patterns to sense them correctly. Sensors and trackers keep transferring data to-be-used all across the globe using the Internet of Things (IoT) technology. It makes your systems powerful enough to function in the real world, artificially. Facebook automatically suggests you, new friends. Google completes your search before you even type the third letter. Zomato predicts your ‘food of the day,’ and also your phone quickly identifies you well.   The benefits associated with the technology are quite impressive. But far more interesting is, to explore what AI has in its bucket that interests us a lot and that we cannot afford to miss at any cost:   1. The foremost exciting fact is that most of the smartphones come today with AI powered voice assistant like Siri, Alexa, Cortana etc. Interestingly, many are in female voices.   2. Experts suggest that AI reacts like humans. It has now become able to socialize and simulate emotions like humans. For example, the Kismet robot built in the 1990s can fetch and recognize human emotions, voice, and body language.   3. Print space is immensely admiring the concept of ‘Robo-Journalism.’ It is still surprising to know that a robot has already written an article on the earthquake in California for the Los Angeles Times. It collected data and figures from a seismograph.   4. AI bots supported by Machine Learning algorithms suggest products while you shop online. Once you have visited a few of the products online, the AI bots learn and record your preferences and then start recommending products that you could choose.   5. Deep Blue – a product by DeepStack, is an AI-based chess-playing computer that has defeated the presiding world champion, Garry Kasparov, in the year 1997.   6. The global AI-based self-driving car market is expected to touch $173.15 billion by the year 2023. Nvidia has already brought its AI-enabled computer to assist driverless cars.   7. Smart homes automation, security and surveillance through CCTV, and drones are most helpful AI-driven solutions utilized today.   8. Remote working and Virtual Assistance is believed to take over 16% of the jobs in the next ten years.   9. As per Gartner’s recent report, 40% of I&O teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity.   10. According to the Gaurdian, Woebot – an intelligent software application is becoming increasingly popular as a sophisticated tool to help meeting demands for counselling.  Today, technology is entangling more and more in our daily lives, workplaces, and society. Hence, Artificial Intelligence will keep integrating information, analyze data, and use the resulting insights for improved decision-making.

 

Whatever impact the tweet-tussle between Elon Musk and Mark Zuckerberg had between invasive and non-invasive artificial intelligence, AI-enabled technological devices and solutions continue to fascinate millions of users for never-ending reasons.  

Interestingly, 44% of the executives believe that the most important benefit of AI is to supply data for making decisions.  

We consume a large amount of data every day, and our brain always looks for the patterns to sense them correctly. Sensors and trackers keep transferring data to-be-used all across the globe using the Internet of Things (IoT) technology. It makes your systems powerful enough to function in the real world, artificially. Facebook automatically suggests you, new friends. Google completes your search before you even type the third letter. Zomato predicts your ‘food of the day,’ and also your phone quickly identifies you well.  

The benefits associated with the technology are quite impressive. But far more interesting is, to explore what AI has in its bucket that interests us a lot and that we cannot afford to miss at any cost:  

1. The foremost exciting fact is that most of the smartphones come today with AI powered voice assistant like Siri, Alexa, Cortana etc. Interestingly, many are in female voices.  

2. Experts suggest that AI reacts like humans. It has now become able to socialize and simulate emotions like humans. For example, the Kismet robot built in the 1990s can fetch and recognize human emotions, voice, and body language.  

3. Print space is immensely admiring the concept of ‘Robo-Journalism.’ It is still surprising to know that a robot has already written an article on the earthquake in California for the Los Angeles Times. It collected data and figures from a seismograph.  

4. AI bots supported by Machine Learning algorithms suggest products while you shop online. Once you have visited a few of the products online, the AI bots learn and record your preferences and then start recommending products that you could choose.  

5. Deep Blue – a product by DeepStack, is an AI-based chess-playing computer that has defeated the presiding world champion, Garry Kasparov, in the year 1997.  

6. The global AI-based self-driving car market is expected to touch $173.15 billion by the year 2023. Nvidia has already brought its AI-enabled computer to assist driverless cars.  

7. Smart homes automation, security and surveillance through CCTV, and drones are most helpful AI-driven solutions utilized today.  

8. Remote working and Virtual Assistance is believed to take over 16% of the jobs in the next ten years.  

9. As per Gartner’s recent report, 40% of I&O teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity.  

10. According to the Gaurdian, Woebot – an intelligent software application is becoming increasingly popular as a sophisticated tool to help meeting demands for counselling. 

Today, technology is entangling more and more in our daily lives, workplaces, and society. Hence, Artificial Intelligence will keep integrating information, analyze data, and use the resulting insights for improved decision-making.

Machine Learning and Artificial Intelligence processes are used in majority of processes that affect our daily life. Businesses are immensely using these technologies for more mundane tasks like driving your car or filling out forms using robots etc. However, the human inclination behind the current level of AI technology is to treat them like supporting elements or machines and not like a person. Thinking of AI as a person may lead you to immense disappointment. It is obvious that a machine cannot give generic responses as if it can or cannot do a job. As per the philosophical study, thinking is about computing inside your head. It includes making some conclusions beyond just imagining what thinking should really be. Though, thinking is not actually being right, but it includes a couple of ways to make the right decisions. Due to shortcuts and generalizations, our present day’s AI systems can try implementing the thinking process fast and in an automatic manner, but they are always prone to some mistakes due to the absence of deliberative step by step thinking process that human mind follows.  Thinking is followed by emotions and present day’s neuroscience and AI researchers agree that AI’s current form is emotionless. They can mimic emotions as they are programmed, but not as per human behavior emotional thinking, and expression. AI is intelligent and machines can also be possibly replicate some of the processes and outcomes of the human mind, but the system is likely to disappoint in the event of novel and unseen stimuli. Machines can never actually think like human beings even though modern AI systems can predict or anticipate based on informational input. For example, AI-based systems can create a predictive model in various industries like health care or business. But a machine can implement such models only in extremely narrow forms. AI is incapable and inflexible to anticipate or remember outside of its definite, limited programming. It can be easily understood when a highly advanced machine-learning algorithm is designed to make predictions related to road-traffic patterns, but it cannot repurpose its intelligence to play a game or have a conversation. This topic is endless to say further, but one thing is for sure, AI can think just as per the ability of the machines and technology and not as a human mind. 
Machine Learning and Artificial Intelligence processes are used in majority of processes that affect our daily life. Businesses are immensely using these technologies for more mundane tasks like driving your car or filling out forms using robots etc. However, the human inclination behind the current level of AI technology is to treat them like supporting elements or machines and not like a person. Thinking of AI as a person may lead you to immense disappointment. It is obvious that a machine cannot give generic responses as if it can or cannot do a job. As per the philosophical study, thinking is about computing inside your head. It includes making some conclusions beyond just imagining what thinking should really be. Though, thinking is not actually being right, but it includes a couple of ways to make the right decisions. Due to shortcuts and generalizations, our present day’s AI systems can try implementing the thinking process fast and in an automatic manner, but they are always prone to some mistakes due to the absence of deliberative step by step thinking process that human mind follows.  Thinking is followed by emotions and present day’s neuroscience and AI researchers agree that AI’s current form is emotionless. They can mimic emotions as they are programmed, but not as per human behavior emotional thinking, and expression. AI is intelligent and machines can also be possibly replicate some of the processes and outcomes of the human mind, but the system is likely to disappoint in the event of novel and unseen stimuli. Machines can never actually think like human beings even though modern AI systems can predict or anticipate based on informational input. For example, AI-based systems can create a predictive model in various industries like health care or business. But a machine can implement such models only in extremely narrow forms. AI is incapable and inflexible to anticipate or remember outside of its definite, limited programming. It can be easily understood when a highly advanced machine-learning algorithm is designed to make predictions related to road-traffic patterns, but it cannot repurpose its intelligence to play a game or have a conversation. This topic is endless to say further, but one thing is for sure, AI can think just as per the ability of the machines and technology and not as a human mind. 

Machine Learning and Artificial Intelligence processes are used in majority of processes that affect our daily life. Businesses are immensely using these technologies for more mundane tasks like driving your car or filling out forms using robots etc. However, the human inclination behind the current level of AI technology is to treat them like supporting elements or machines and not like a person. 

Thinking of AI as a person may lead you to immense disappointment. It is obvious that a machine cannot give generic responses as if it can or cannot do a job. 

As per the philosophical study, thinking is about computing inside your head. It includes making some conclusions beyond just imagining what thinking should really be. Though, thinking is not actually being right, but it includes a couple of ways to make the right decisions. 

Due to shortcuts and generalizations, our present day’s AI systems can try implementing the thinking process fast and in an automatic manner, but they are always prone to some mistakes due to the absence of deliberative step by step thinking process that human mind follows.  

Thinking is followed by emotions and present day’s neuroscience and AI researchers agree that AI’s current form is emotionless. They can mimic emotions as they are programmed, but not as per human behavior emotional thinking, and expression. 

AI is intelligent and machines can also be possibly replicate some of the processes and outcomes of the human mind, but the system is likely to disappoint in the event of novel and unseen stimuli. Machines can never actually think like human beings even though modern AI systems can predict or anticipate based on informational input. For example, AI-based systems can create a predictive model in various industries like health care or business. But a machine can implement such models only in extremely narrow forms. 

AI is incapable and inflexible to anticipate or remember outside of its definite, limited programming. It can be easily understood when a highly advanced machine-learning algorithm is designed to make predictions related to road-traffic patterns, but it cannot repurpose its intelligence to play a game or have a conversation. 

This topic is endless to say further, but one thing is for sure, AI can think just as per the ability of the machines and technology and not as a human mind. 

Chatbot technology involves machine learning, cloud, artificial intelligence, natural language processing, and deep learning technologies. Enterprise chatbot companies make use of these technologies to create chatbots that work like humans. Businesses are experiencing a revolution with AI-based chatbots, as this technology helps in improving efficiency to automating tasks.You can install chatbot technology on various devices like mobile phones, chat platforms, and web browsers. Just like humans, the enterprise chatbot serves as a part of conversations through voice and text.  The enterprise chatbot platform offer services to the users and groups that comprise of customers and employees. The AI (Artificial Intelligence) based chatbot provides many benefits to the enterprises in the following ways:The AI-based chatbot provides excellent customer service where it can always greet customers regardless of whether many people ask for help.It is familiar with the organization's products and the system regarding how the organizations wish to communicate.It helps in building customer loyalty and closer relationships. Quickly, it can process multiple user requests.A lot of time-consuming work becomes easy and quick, with the help of AI chatbot services. It provides immediate responses to the queries of the customers.It enables the masses to connect in a natural way on a personal level.This great tool enhances response rates and reduces employee workload.The enterprise can efficiently measure performance with AI-based chatbots. It can effortlessly reduce clutter in the organization.It can reach new channels to engage customers and offers personalized advice. The new channels are meant for automated sales conversations.The AI-powered chatbots maximize staff skills by enabling existing employees to concentrate on the higher-value customer engagements. This tool can automate a proportion of calls, social media messages, and emails along with live chat sessions.The user can automate repetitive tasks with AI chatbot. The user can effortlessly eliminate errors and quickly track success by automating AI chatbots in their system.It works as a personal assistant for the enterprises as it helps in scheduling appointments, booking a cab, and delivery of technical assistance.By employing AI-based chatbot, the enterprise can empower its HR and IT department.AI chatbot can efficiently manipulate the desired data of the enterprises. It assists enterprises in business-to-business applications.It is available all the time (24/7 and 365 days), so customers find this technology convenient to use.With the help of customer engagement and intuitive and fast interaction, this tool helps drive product differentiation by delivering frictionless user experience.Each time, the chatbots powered by artificial intelligence helps in getting the numbers right. It helps in verifying purchases, collating reports, and tallying numbers.If enterprises use chatbots wisely in a strategic manner, it can even help in lead conversion for the business. It can drive more revenue by guiding customers on a buying journey.Chatbot powered by AI can efficiently perform multi-tasks, offer precise assistance, simplify activities, and reduce costs. The inbound queries can be curtailed with virtual customer assistants.This technology can understand the mindset of the customer better. The customers get valuable insights about the product and service development from AI-based chatbot.Conclusive StatementThe user can scale their business with AI-powered chatbots. This tool is a new game-changer for enterprise automation as it is combined with a human touch. If the user uses enterprise AI-powered-based chatbot solutions and the latest technological advancements, the customer relationship can become secure with the brand. Make sure; this technology should be programmed to understand human sentiments efficiently. Indeed, it is a great tool that helps in building a healthy customer relationship. Quickly, it is capable of answering multiple user requests and can enhance the help-seeking experience for the customers. The increased engagement of the customers helps in driving revenue in the enterprises.
Chatbot technology involves machine learning, cloud, artificial intelligence, natural language processing, and deep learning technologies. Enterprise chatbot companies make use of these technologies to create chatbots that work like humans. Businesses are experiencing a revolution with AI-based chatbots, as this technology helps in improving efficiency to automating tasks.You can install chatbot technology on various devices like mobile phones, chat platforms, and web browsers. Just like humans, the enterprise chatbot serves as a part of conversations through voice and text.  The enterprise chatbot platform offer services to the users and groups that comprise of customers and employees. The AI (Artificial Intelligence) based chatbot provides many benefits to the enterprises in the following ways:The AI-based chatbot provides excellent customer service where it can always greet customers regardless of whether many people ask for help.It is familiar with the organization's products and the system regarding how the organizations wish to communicate.It helps in building customer loyalty and closer relationships. Quickly, it can process multiple user requests.A lot of time-consuming work becomes easy and quick, with the help of AI chatbot services. It provides immediate responses to the queries of the customers.It enables the masses to connect in a natural way on a personal level.This great tool enhances response rates and reduces employee workload.The enterprise can efficiently measure performance with AI-based chatbots. It can effortlessly reduce clutter in the organization.It can reach new channels to engage customers and offers personalized advice. The new channels are meant for automated sales conversations.The AI-powered chatbots maximize staff skills by enabling existing employees to concentrate on the higher-value customer engagements. This tool can automate a proportion of calls, social media messages, and emails along with live chat sessions.The user can automate repetitive tasks with AI chatbot. The user can effortlessly eliminate errors and quickly track success by automating AI chatbots in their system.It works as a personal assistant for the enterprises as it helps in scheduling appointments, booking a cab, and delivery of technical assistance.By employing AI-based chatbot, the enterprise can empower its HR and IT department.AI chatbot can efficiently manipulate the desired data of the enterprises. It assists enterprises in business-to-business applications.It is available all the time (24/7 and 365 days), so customers find this technology convenient to use.With the help of customer engagement and intuitive and fast interaction, this tool helps drive product differentiation by delivering frictionless user experience.Each time, the chatbots powered by artificial intelligence helps in getting the numbers right. It helps in verifying purchases, collating reports, and tallying numbers.If enterprises use chatbots wisely in a strategic manner, it can even help in lead conversion for the business. It can drive more revenue by guiding customers on a buying journey.Chatbot powered by AI can efficiently perform multi-tasks, offer precise assistance, simplify activities, and reduce costs. The inbound queries can be curtailed with virtual customer assistants.This technology can understand the mindset of the customer better. The customers get valuable insights about the product and service development from AI-based chatbot.Conclusive StatementThe user can scale their business with AI-powered chatbots. This tool is a new game-changer for enterprise automation as it is combined with a human touch. If the user uses enterprise AI-powered-based chatbot solutions and the latest technological advancements, the customer relationship can become secure with the brand. Make sure; this technology should be programmed to understand human sentiments efficiently. Indeed, it is a great tool that helps in building a healthy customer relationship. Quickly, it is capable of answering multiple user requests and can enhance the help-seeking experience for the customers. The increased engagement of the customers helps in driving revenue in the enterprises.

Chatbot technology involves machine learning, cloud, artificial intelligence, natural language processing, and deep learning technologies. Enterprise chatbot companies make use of these technologies to create chatbots that work like humans. Businesses are experiencing a revolution with AI-based chatbots, as this technology helps in improving efficiency to automating tasks.

You can install chatbot technology on various devices like mobile phones, chat platforms, and web browsers. Just like humans, the enterprise chatbot serves as a part of conversations through voice and text.  

The enterprise chatbot platform offer services to the users and groups that comprise of customers and employees. The AI (Artificial Intelligence) based chatbot provides many benefits to the enterprises in the following ways:

  • The AI-based chatbot provides excellent customer service where it can always greet customers regardless of whether many people ask for help.
  • It is familiar with the organization's products and the system regarding how the organizations wish to communicate.
  • It helps in building customer loyalty and closer relationships. Quickly, it can process multiple user requests.
  • A lot of time-consuming work becomes easy and quick, with the help of AI chatbot services. It provides immediate responses to the queries of the customers.
  • It enables the masses to connect in a natural way on a personal level.
  • This great tool enhances response rates and reduces employee workload.
  • The enterprise can efficiently measure performance with AI-based chatbots. It can effortlessly reduce clutter in the organization.
  • It can reach new channels to engage customers and offers personalized advice. The new channels are meant for automated sales conversations.
  • The AI-powered chatbots maximize staff skills by enabling existing employees to concentrate on the higher-value customer engagements. This tool can automate a proportion of calls, social media messages, and emails along with live chat sessions.
  • The user can automate repetitive tasks with AI chatbot. The user can effortlessly eliminate errors and quickly track success by automating AI chatbots in their system.
  • It works as a personal assistant for the enterprises as it helps in scheduling appointments, booking a cab, and delivery of technical assistance.
  • By employing AI-based chatbot, the enterprise can empower its HR and IT department.
  • AI chatbot can efficiently manipulate the desired data of the enterprises. It assists enterprises in business-to-business applications.
  • It is available all the time (24/7 and 365 days), so customers find this technology convenient to use.
  • With the help of customer engagement and intuitive and fast interaction, this tool helps drive product differentiation by delivering frictionless user experience.
  • Each time, the chatbots powered by artificial intelligence helps in getting the numbers right. It helps in verifying purchases, collating reports, and tallying numbers.
  • If enterprises use chatbots wisely in a strategic manner, it can even help in lead conversion for the business. It can drive more revenue by guiding customers on a buying journey.
  • Chatbot powered by AI can efficiently perform multi-tasks, offer precise assistance, simplify activities, and reduce costs. The inbound queries can be curtailed with virtual customer assistants.
  • This technology can understand the mindset of the customer better. The customers get valuable insights about the product and service development from AI-based chatbot.

Conclusive Statement

The user can scale their business with AI-powered chatbots. This tool is a new game-changer for enterprise automation as it is combined with a human touch. If the user uses enterprise AI-powered-based chatbot solutions and the latest technological advancements, the customer relationship can become secure with the brand. Make sure; this technology should be programmed to understand human sentiments efficiently. Indeed, it is a great tool that helps in building a healthy customer relationship. Quickly, it is capable of answering multiple user requests and can enhance the help-seeking experience for the customers. The increased engagement of the customers helps in driving revenue in the enterprises.

All the aspects of AI hardware, software and services in total are expected to generate revenue of 156.5 billion dollars in 2020 at a growth rate of 12.3 percent. By 2024, this amount is likely to reach 300 billion dollars. Out of this Software delivers approx 80% of the total revenue.AI ever since its emergence, has impacted day to day life of humans. The Power of AI is known to all mostly in the form of voice recognition. This technology is capable of converting voice to text and it even recognizes individuals based on their voice. Techno giants are competing to integrate this technology with their devices and application with a 100% accuracy. By far, advancements have been successful in achieving 95% accuracy.There are various innovations put forth by leading technology companies like Apple, Microsoft, Amazon, Google, Facebook and more. Millennials are well aware of the Alexa voice recognition app that comes with a device called Echo. Before describing this further let me put down some other developments.Echo with Alexa app by AmazonHome Pod by Apple’s SiriInvoke by Microsoft’s CortanaGoogle Assistant by Google HomeOculus virtual reality headset by FacebookThese devices bear the capabilities of scheduling meetings, booking cab, playing music, sending messages, managing emails, ordering food and much more. This brings us to how it works?With the help of AI, the voice recognition system uses a person’s speech as a sample. It digitizes it to create a unique voice template such that each word that the user speaks is broken down into chunks comprising multiple tones. These tones are converted into a template through digitization.Various components affect a person’s voice such as:Physical component: This indicates voice tones based on the shape of a person’s vocal tract. In the case of biometric speech, the waveform of the voice is used to digitize the shape of a person’s vocal tract. Since it is unique for each person, so are the imprints.Behavior component: This represents the movement of a person’s mouth, tongue, jaw and so on. It determines accents and pronunciations. However, despite advancements replicating human voice is not easy since factors like emotional state, health, etc. can cause errors in recognition.To conclude,There are basically two types of AI-based voice recognition systems: with a passphrase and without a passphrase. One with a passphrase requires an individual to use a predetermined phrase prior to command so that it can be matched. This is opposite to the non-pass phrase where a longer text is required.
All the aspects of AI hardware, software and services in total are expected to generate revenue of 156.5 billion dollars in 2020 at a growth rate of 12.3 percent. By 2024, this amount is likely to reach 300 billion dollars. Out of this Software delivers approx 80% of the total revenue.AI ever since its emergence, has impacted day to day life of humans. The Power of AI is known to all mostly in the form of voice recognition. This technology is capable of converting voice to text and it even recognizes individuals based on their voice. Techno giants are competing to integrate this technology with their devices and application with a 100% accuracy. By far, advancements have been successful in achieving 95% accuracy.There are various innovations put forth by leading technology companies like Apple, Microsoft, Amazon, Google, Facebook and more. Millennials are well aware of the Alexa voice recognition app that comes with a device called Echo. Before describing this further let me put down some other developments.Echo with Alexa app by AmazonHome Pod by Apple’s SiriInvoke by Microsoft’s CortanaGoogle Assistant by Google HomeOculus virtual reality headset by FacebookThese devices bear the capabilities of scheduling meetings, booking cab, playing music, sending messages, managing emails, ordering food and much more. This brings us to how it works?With the help of AI, the voice recognition system uses a person’s speech as a sample. It digitizes it to create a unique voice template such that each word that the user speaks is broken down into chunks comprising multiple tones. These tones are converted into a template through digitization.Various components affect a person’s voice such as:Physical component: This indicates voice tones based on the shape of a person’s vocal tract. In the case of biometric speech, the waveform of the voice is used to digitize the shape of a person’s vocal tract. Since it is unique for each person, so are the imprints.Behavior component: This represents the movement of a person’s mouth, tongue, jaw and so on. It determines accents and pronunciations. However, despite advancements replicating human voice is not easy since factors like emotional state, health, etc. can cause errors in recognition.To conclude,There are basically two types of AI-based voice recognition systems: with a passphrase and without a passphrase. One with a passphrase requires an individual to use a predetermined phrase prior to command so that it can be matched. This is opposite to the non-pass phrase where a longer text is required.
https://tomato.to/temp/5f72fc3eccd7d.jpg

All the aspects of AI hardware, software and services in total are expected to generate revenue of 156.5 billion dollars in 2020 at a growth rate of 12.3 percent. By 2024, this amount is likely to reach 300 billion dollars. Out of this Software delivers approx 80% of the total revenue.

AI ever since its emergence, has impacted day to day life of humans. The Power of AI is known to all mostly in the form of voice recognition. This technology is capable of converting voice to text and it even recognizes individuals based on their voice. 

Techno giants are competing to integrate this technology with their devices and application with a 100% accuracy. By far, advancements have been successful in achieving 95% accuracy.

There are various innovations put forth by leading technology companies like Apple, Microsoft, Amazon, Google, Facebook and more. Millennials are well aware of the Alexa voice recognition app that comes with a device called Echo. Before describing this further let me put down some other developments.

  • Echo with Alexa app by Amazon
  • Home Pod by Apple’s Siri
  • Invoke by Microsoft’s Cortana
  • Google Assistant by Google Home
  • Oculus virtual reality headset by Facebook

These devices bear the capabilities of scheduling meetings, booking cab, playing music, sending messages, managing emails, ordering food and much more. 

This brings us to how it works?

With the help of AI, the voice recognition system uses a person’s speech as a sample. It digitizes it to create a unique voice template such that each word that the user speaks is broken down into chunks comprising multiple tones. These tones are converted into a template through digitization.

Various components affect a person’s voice such as:

Physical component: 

This indicates voice tones based on the shape of a person’s vocal tract. In the case of biometric speech, the waveform of the voice is used to digitize the shape of a person’s vocal tract. Since it is unique for each person, so are the imprints.

Behavior component: 

This represents the movement of a person’s mouth, tongue, jaw and so on. It determines accents and pronunciations. 

However, despite advancements replicating human voice is not easy since factors like emotional state, health, etc. can cause errors in recognition.

To conclude,

There are basically two types of AI-based voice recognition systems: with a passphrase and without a passphrase. One with a passphrase requires an individual to use a predetermined phrase prior to command so that it can be matched. This is opposite to the non-pass phrase where a longer text is required.

There is a parallel universe taking shape on the rim of technological innovation made up of AI, cloud computing, big data, 5G, machine learning, and automation. During Covid19, the AI-based robot has already displayed its exceptional ability to aid humans in difficult situations and so forth the other technologies.  It has forced people to change their perception, considering it a threat to the human race.  There is enough scope that post covid19, many who were reluctant to use these technologies may re-launch their business laced with these technologies.  Their business process could be seen milking all of the above technologies or maybe one of them.  The choice of technologies may vary depending on the business process, but one technology that will rule most industries is AI.  In the future, there will be no industry that would be deprived of AI intelligence.   AI mainly operates in the following ways.Automated intelligence: Automates the manual, cognitive, and routine / non-routine tasks.Supporting intelligence: It helps people to complete tasks faster and better.Expanding intelligence: It helps people in making better decisions.Autonomous intelligence: Automation of decision-making processes without human intervention. Business to get influenced by AI in 2020  Real estateAI has a profound ability to analyze patterns from vast amounts of data.  These attributes have greater advantages in the real estate industry.  It can provide comprehensive and accurate information about the property to clients. The person can identify the most common maintenance issues, price trends in certain areas, tenant characteristics, and preferences. It can even help during construction, where engineers can enter raw design data into it, and the software will come up with the final design.  Artificial intelligence is just scratching the surface of real estate, but its application in the industry cannot be ignored.Health-care and Pharma IndustryMachine learning is one of the most common forms of AI. The healthcare professionals are using it for predicting the treatment protocols for a patient based on various attributes and the treatment context. They are using it to diagnose some critical diseases accurately that were not detected by doctors and radiologists. If diagnosis and treatment are the AI’s prime focus, then drug discovery never stood second to it. The first drug designed using artificial intelligence (AI) under the supervision of Professor Andrew Hopkins has moved into its Phase I trial. It is a clear indication that the Pharma sector and Research are aiming big with AI. In the future, they would extend AI applications on a large scale.Education InstituteAI has great potential in the education sector.  AI can help tutor for developing personalized curricula based on each student’s specific needs. Hyper personalized and on-demand digital content is also created with the help of AI and machine learning.  Not just scheduling programs for tutors, it is even used to teach students. The “Thinkster Math” is a tutoring program developed for use on tablets, laptops, and desktops. It pairs human interaction with artificial intelligence to provide students with custom programs. The AI technology tracks work step-by-step and assist students in understanding why they are correct or incorrect.AgricultureWorldwide, the agriculture industry is estimated to be a $5 trillion industry.  However, the failure in harvest due to unpredictable climate, inadequate farming facilities, scarce resources, infertile land, has slashed the revenue margin to a great extent. To overcome this issue, farmers have turned towards technology like AI. With the help of AI, farmers can now analyze a lot of things in real-time such as temperature, weather conditions, water usage, or soil conditions collected from their farm to better inform their decisions.  AI sensors can detect and target weeds and then decide which herbicides to apply within the right buffer zone.  It will also help to reduce the labor-intensive work and the overall managing cost. No doubt, the agriculture sector will make the most out of it in 2020 and beyond.Energy sectorThe UK’s Grid Edge has given control to the consumers by using artificial intelligence to predict and optimize energy profiles.  It operates a VPN that connects with consumer’s energy data and analyzes consumption. They used this data to plan out a dispatch strategy, which eventually helps to save energy and avert overloads. One more example is “spark ignition,” the AI-based system used in combination with analytics, sensors, and operational data to predict when critical infrastructure could fail. The system came into limelight when 32 people died at a coal-fired power plant in northern India. The government then decided to implement AI to avert such accidents in the future. Aviation Industry and transportationAI is not something new in the aviation industry; for ages, they have used Auto-pilot to self-drive planes and algorithms to predict the weather.  But so far, it was confined to the cockpit and airport terminal. It will now sprawl to airport premises for facial recognition, customer Q&A, crew management, baggage check-in, flight maintenance, factory operation optimization, and aircraft fuel optimization. Logistic and WarehousingIn Andover (England), a large warehouse run mostly by robots.  The automated and intelligent warehousing system is capable of moving, lifting, and sorting grocery items, which are then packaged and sent out by Ocado’s employees.  The algorithm that carries the operations places grocery items accurately and rarely makes an error.  It is a classic example of an intelligent algorithm that can pair with a warehousing system to make the process quicker and less strainful for the owner.  Any industry that will have the most advantage of AI in 2020 is “Logistics and warehousing.” Wrapping up,Event and entertainment, mining, transportation, auto-industry, service sectors, in the future, there won’t be any single industry or organization that might not be using AI in the future. The point is: on what scale and how they will implement it to draw the maximum advantage. 
There is a parallel universe taking shape on the rim of technological innovation made up of AI, cloud computing, big data, 5G, machine learning, and automation. During Covid19, the AI-based robot has already displayed its exceptional ability to aid humans in difficult situations and so forth the other technologies.  It has forced people to change their perception, considering it a threat to the human race.  There is enough scope that post covid19, many who were reluctant to use these technologies may re-launch their business laced with these technologies.  Their business process could be seen milking all of the above technologies or maybe one of them.  The choice of technologies may vary depending on the business process, but one technology that will rule most industries is AI.  In the future, there will be no industry that would be deprived of AI intelligence.   AI mainly operates in the following ways.Automated intelligence: Automates the manual, cognitive, and routine / non-routine tasks.Supporting intelligence: It helps people to complete tasks faster and better.Expanding intelligence: It helps people in making better decisions.Autonomous intelligence: Automation of decision-making processes without human intervention. Business to get influenced by AI in 2020  Real estateAI has a profound ability to analyze patterns from vast amounts of data.  These attributes have greater advantages in the real estate industry.  It can provide comprehensive and accurate information about the property to clients. The person can identify the most common maintenance issues, price trends in certain areas, tenant characteristics, and preferences. It can even help during construction, where engineers can enter raw design data into it, and the software will come up with the final design.  Artificial intelligence is just scratching the surface of real estate, but its application in the industry cannot be ignored.Health-care and Pharma IndustryMachine learning is one of the most common forms of AI. The healthcare professionals are using it for predicting the treatment protocols for a patient based on various attributes and the treatment context. They are using it to diagnose some critical diseases accurately that were not detected by doctors and radiologists. If diagnosis and treatment are the AI’s prime focus, then drug discovery never stood second to it. The first drug designed using artificial intelligence (AI) under the supervision of Professor Andrew Hopkins has moved into its Phase I trial. It is a clear indication that the Pharma sector and Research are aiming big with AI. In the future, they would extend AI applications on a large scale.Education InstituteAI has great potential in the education sector.  AI can help tutor for developing personalized curricula based on each student’s specific needs. Hyper personalized and on-demand digital content is also created with the help of AI and machine learning.  Not just scheduling programs for tutors, it is even used to teach students. The “Thinkster Math” is a tutoring program developed for use on tablets, laptops, and desktops. It pairs human interaction with artificial intelligence to provide students with custom programs. The AI technology tracks work step-by-step and assist students in understanding why they are correct or incorrect.AgricultureWorldwide, the agriculture industry is estimated to be a $5 trillion industry.  However, the failure in harvest due to unpredictable climate, inadequate farming facilities, scarce resources, infertile land, has slashed the revenue margin to a great extent. To overcome this issue, farmers have turned towards technology like AI. With the help of AI, farmers can now analyze a lot of things in real-time such as temperature, weather conditions, water usage, or soil conditions collected from their farm to better inform their decisions.  AI sensors can detect and target weeds and then decide which herbicides to apply within the right buffer zone.  It will also help to reduce the labor-intensive work and the overall managing cost. No doubt, the agriculture sector will make the most out of it in 2020 and beyond.Energy sectorThe UK’s Grid Edge has given control to the consumers by using artificial intelligence to predict and optimize energy profiles.  It operates a VPN that connects with consumer’s energy data and analyzes consumption. They used this data to plan out a dispatch strategy, which eventually helps to save energy and avert overloads. One more example is “spark ignition,” the AI-based system used in combination with analytics, sensors, and operational data to predict when critical infrastructure could fail. The system came into limelight when 32 people died at a coal-fired power plant in northern India. The government then decided to implement AI to avert such accidents in the future. Aviation Industry and transportationAI is not something new in the aviation industry; for ages, they have used Auto-pilot to self-drive planes and algorithms to predict the weather.  But so far, it was confined to the cockpit and airport terminal. It will now sprawl to airport premises for facial recognition, customer Q&A, crew management, baggage check-in, flight maintenance, factory operation optimization, and aircraft fuel optimization. Logistic and WarehousingIn Andover (England), a large warehouse run mostly by robots.  The automated and intelligent warehousing system is capable of moving, lifting, and sorting grocery items, which are then packaged and sent out by Ocado’s employees.  The algorithm that carries the operations places grocery items accurately and rarely makes an error.  It is a classic example of an intelligent algorithm that can pair with a warehousing system to make the process quicker and less strainful for the owner.  Any industry that will have the most advantage of AI in 2020 is “Logistics and warehousing.” Wrapping up,Event and entertainment, mining, transportation, auto-industry, service sectors, in the future, there won’t be any single industry or organization that might not be using AI in the future. The point is: on what scale and how they will implement it to draw the maximum advantage. 

There is a parallel universe taking shape on the rim of technological innovation made up of AI, cloud computing, big data, 5G, machine learning, and automation. During Covid19, the AI-based robot has already displayed its exceptional ability to aid humans in difficult situations and so forth the other technologies.  It has forced people to change their perception, considering it a threat to the human race. 

 

There is enough scope that post covid19, many who were reluctant to use these technologies may re-launch their business laced with these technologies.  Their business process could be seen milking all of the above technologies or maybe one of them.  

The choice of technologies may vary depending on the business process, but one technology that will rule most industries is AI.  In the future, there will be no industry that would be deprived of AI intelligence.  

 

AI mainly operates in the following ways.

  • Automated intelligence: Automates the manual, cognitive, and routine / non-routine tasks.
  • Supporting intelligence: It helps people to complete tasks faster and better.
  • Expanding intelligence: It helps people in making better decisions.
  • Autonomous intelligence: Automation of decision-making processes without human intervention.

 

Business to get influenced by AI in 2020 

 

Real estate

AI has a profound ability to analyze patterns from vast amounts of data.  These attributes have greater advantages in the real estate industry.  It can provide comprehensive and accurate information about the property to clients. The person can identify the most common maintenance issues, price trends in certain areas, tenant characteristics, and preferences. It can even help during construction, where engineers can enter raw design data into it, and the software will come up with the final design.  Artificial intelligence is just scratching the surface of real estate, but its application in the industry cannot be ignored.

Health-care and Pharma Industry

Machine learning is one of the most common forms of AI. The healthcare professionals are using it for predicting the treatment protocols for a patient based on various attributes and the treatment context. They are using it to diagnose some critical diseases accurately that were not detected by doctors and radiologists. If diagnosis and treatment are the AI’s prime focus, then drug discovery never stood second to it. The first drug designed using artificial intelligence (AI) under the supervision of Professor Andrew Hopkins has moved into its Phase I trial. It is a clear indication that the Pharma sector and Research are aiming big with AI. In the future, they would extend AI applications on a large scale.

Education Institute

AI has great potential in the education sector.  AI can help tutor for developing personalized curricula based on each student’s specific needs. Hyper personalized and on-demand digital content is also created with the help of AI and machine learning.  Not just scheduling programs for tutors, it is even used to teach students. The “Thinkster Math” is a tutoring program developed for use on tablets, laptops, and desktops. It pairs human interaction with artificial intelligence to provide students with custom programs. The AI technology tracks work step-by-step and assist students in understanding why they are correct or incorrect.

Agriculture

Worldwide, the agriculture industry is estimated to be a $5 trillion industry.  However, the failure in harvest due to unpredictable climate, inadequate farming facilities, scarce resources, infertile land, has slashed the revenue margin to a great extent. To overcome this issue, farmers have turned towards technology like AI. With the help of AI, farmers can now analyze a lot of things in real-time such as temperature, weather conditions, water usage, or soil conditions collected from their farm to better inform their decisions.  AI sensors can detect and target weeds and then decide which herbicides to apply within the right buffer zone.  It will also help to reduce the labor-intensive work and the overall managing cost. No doubt, the agriculture sector will make the most out of it in 2020 and beyond.

Energy sector

The UK’s Grid Edge has given control to the consumers by using artificial intelligence to predict and optimize energy profiles.  It operates a VPN that connects with consumer’s energy data and analyzes consumption. They used this data to plan out a dispatch strategy, which eventually helps to save energy and avert overloads. One more example is “spark ignition,” the AI-based system used in combination with analytics, sensors, and operational data to predict when critical infrastructure could fail. The system came into limelight when 32 people died at a coal-fired power plant in northern India. The government then decided to implement AI to avert such accidents in the future. 

Aviation Industry and transportation

AI is not something new in the aviation industry; for ages, they have used Auto-pilot to self-drive planes and algorithms to predict the weather.  But so far, it was confined to the cockpit and airport terminal. It will now sprawl to airport premises for facial recognition, customer Q&A, crew management, baggage check-in, flight maintenance, factory operation optimization, and aircraft fuel optimization. 

Logistic and Warehousing

In Andover (England), a large warehouse run mostly by robots.  The automated and intelligent warehousing system is capable of moving, lifting, and sorting grocery items, which are then packaged and sent out by Ocado’s employees.  The algorithm that carries the operations places grocery items accurately and rarely makes an error.  It is a classic example of an intelligent algorithm that can pair with a warehousing system to make the process quicker and less strainful for the owner.  Any industry that will have the most advantage of AI in 2020 is “Logistics and warehousing.” 

Wrapping up,

Event and entertainment, mining, transportation, auto-industry, service sectors, in the future, there won’t be any single industry or organization that might not be using AI in the future. The point is: on what scale and how they will implement it to draw the maximum advantage. 

 E-commerce like no other industry has witnessed a momentous surge this year, especially after COVID-19 disrupted the world and how things usually functioned. Many sellers found refuge in the digital landscape and started selling online. But, to be successful in the e-commerce business, you need more than just a responsive website and delightful products. You need to streamline the multiple processes so that everything is fluid and harmonious. You cannot handle every process single-handedly, you need to integrate tools that make your mundane work easier so that you can invest that time on high-value strategies and decisions.The first question to ask yourself is how important you think the AI tool will be to your business, and how much functionality will it provide. Are you interested in only using the features that your current software has, or do you want it to do everything? If you want to be able to get the most out of your software you will need both options - not having everything being done the same way.The second question to ask yourself is what type of software will meet your requirements best. We've seen quite a few programs come onto the market that can do what you want but are not very useful. For example, many programs have very poor reporting and coding features and will cause quite a lot of problems if your code is not well documented and tested.Once you've decided that your requirements are more specific than they are general, you will need to select the software from the available software tools. You should be looking at features in the software, how easy they are to use and how much flexibility and scalability they offer. You will also want to look at the costs associated with upgrades. With that,  you may want to consider the cost of the training for using the software if you do not have technical knowledge.Once you've decided what you need and what you are willing to spend, you should also make sure that you are researching the available software and comparing it to what you already have in place. For example, if you already have an existing program that uses an advanced language on your servers then you will find it much easier to learn new programs that can work in this language. Also, you might want to take a look at the web site that describes the program and see if there is any user feedback available.Some of the best AI tools for e-commerce are as follows : Autocomplete Search Plugins Autocomplete search or live search plugins recognise and predict the text before users can finish typing and present them with apt suggestions. Personalized RecommenderThese are automated AI engines that offer hyper-personalized and relevant information to users. It also provides customer insights, customer feedback, product cataloguing, churn prevention and product recommendation. Voice Commands APIThis voice commands API optimizes your e-commerce website for voice search. For example: SpeechAPI, IBM Watson, Google Speech etc. Marketing automationWith these marketing tools, you can find opportunities, reach your prospects with ease through KPI predictions and take informed decisions and help you make informed decisions. For example - Oracle Bronto, Hubspot, Mailchimp, Sender etc. Smart Advertising ToolsThese tools help you optimize your marketing budget, schedule the campaigns and target your customer for remarketing. For example: GumGum, Adobe advertising cloud, WordstreamTo sum it upThese are some of the questions to ask yourself when trying to decide what the best available AI tools for e-commerce are. These questions will help you decide whether you need to upgrade your current program or whether you will just want to take the easy way out and purchase the software and start implementing it.
 E-commerce like no other industry has witnessed a momentous surge this year, especially after COVID-19 disrupted the world and how things usually functioned. Many sellers found refuge in the digital landscape and started selling online. But, to be successful in the e-commerce business, you need more than just a responsive website and delightful products. You need to streamline the multiple processes so that everything is fluid and harmonious. You cannot handle every process single-handedly, you need to integrate tools that make your mundane work easier so that you can invest that time on high-value strategies and decisions.The first question to ask yourself is how important you think the AI tool will be to your business, and how much functionality will it provide. Are you interested in only using the features that your current software has, or do you want it to do everything? If you want to be able to get the most out of your software you will need both options - not having everything being done the same way.The second question to ask yourself is what type of software will meet your requirements best. We've seen quite a few programs come onto the market that can do what you want but are not very useful. For example, many programs have very poor reporting and coding features and will cause quite a lot of problems if your code is not well documented and tested.Once you've decided that your requirements are more specific than they are general, you will need to select the software from the available software tools. You should be looking at features in the software, how easy they are to use and how much flexibility and scalability they offer. You will also want to look at the costs associated with upgrades. With that,  you may want to consider the cost of the training for using the software if you do not have technical knowledge.Once you've decided what you need and what you are willing to spend, you should also make sure that you are researching the available software and comparing it to what you already have in place. For example, if you already have an existing program that uses an advanced language on your servers then you will find it much easier to learn new programs that can work in this language. Also, you might want to take a look at the web site that describes the program and see if there is any user feedback available.Some of the best AI tools for e-commerce are as follows : Autocomplete Search Plugins Autocomplete search or live search plugins recognise and predict the text before users can finish typing and present them with apt suggestions. Personalized RecommenderThese are automated AI engines that offer hyper-personalized and relevant information to users. It also provides customer insights, customer feedback, product cataloguing, churn prevention and product recommendation. Voice Commands APIThis voice commands API optimizes your e-commerce website for voice search. For example: SpeechAPI, IBM Watson, Google Speech etc. Marketing automationWith these marketing tools, you can find opportunities, reach your prospects with ease through KPI predictions and take informed decisions and help you make informed decisions. For example - Oracle Bronto, Hubspot, Mailchimp, Sender etc. Smart Advertising ToolsThese tools help you optimize your marketing budget, schedule the campaigns and target your customer for remarketing. For example: GumGum, Adobe advertising cloud, WordstreamTo sum it upThese are some of the questions to ask yourself when trying to decide what the best available AI tools for e-commerce are. These questions will help you decide whether you need to upgrade your current program or whether you will just want to take the easy way out and purchase the software and start implementing it.

 

E-commerce like no other industry has witnessed a momentous surge this year, especially after COVID-19 disrupted the world and how things usually functioned. Many sellers found refuge in the digital landscape and started selling online. But, to be successful in the e-commerce business, you need more than just a responsive website and delightful products. 

You need to streamline the multiple processes so that everything is fluid and harmonious. You cannot handle every process single-handedly, you need to integrate tools that make your mundane work easier so that you can invest that time on high-value strategies and decisions.

The first question to ask yourself is how important you think the AI tool will be to your business, and how much functionality will it provide. Are you interested in only using the features that your current software has, or do you want it to do everything? If you want to be able to get the most out of your software you will need both options - not having everything being done the same way.

The second question to ask yourself is what type of software will meet your requirements best. We've seen quite a few programs come onto the market that can do what you want but are not very useful. For example, many programs have very poor reporting and coding features and will cause quite a lot of problems if your code is not well documented and tested.

Once you've decided that your requirements are more specific than they are general, you will need to select the software from the available software tools. You should be looking at features in the software, how easy they are to use and how much flexibility and scalability they offer. You will also want to look at the costs associated with upgrades. With that,  you may want to consider the cost of the training for using the software if you do not have technical knowledge.

Once you've decided what you need and what you are willing to spend, you should also make sure that you are researching the available software and comparing it to what you already have in place. For example, if you already have an existing program that uses an advanced language on your servers then you will find it much easier to learn new programs that can work in this language. Also, you might want to take a look at the web site that describes the program and see if there is any user feedback available.

Some of the best AI tools for e-commerce are as follows : 

Autocomplete Search Plugins 

Autocomplete search or live search plugins recognise and predict the text before users can finish typing and present them with apt suggestions. 

Personalized Recommender

These are automated AI engines that offer hyper-personalized and relevant information to users. It also provides customer insights, customer feedback, product cataloguing, churn prevention and product recommendation. 

Voice Commands API

This voice commands API optimizes your e-commerce website for voice search. For example: SpeechAPI, IBM Watson, Google Speech etc. 

  • Marketing automation

With these marketing tools, you can find opportunities, reach your prospects with ease through KPI predictions and take informed decisions and help you make informed decisions. For example - Oracle Bronto, Hubspot, Mailchimp, Sender etc. 

Smart Advertising Tools

These tools help you optimize your marketing budget, schedule the campaigns and target your customer for remarketing. For example: GumGum, Adobe advertising cloud, Wordstream

To sum it up

These are some of the questions to ask yourself when trying to decide what the best available AI tools for e-commerce are. These questions will help you decide whether you need to upgrade your current program or whether you will just want to take the easy way out and purchase the software and start implementing it.

Artificial Intelligence or AI is no longer a ‘sci-fi thing’ as it is already adopted by various industries. It is a set of technologies that makes machines smarter over time. It basically makes the computers think intelligently, especially when you are working on a new artificial intelligence project that needs a critical branch of engineering to accomplish. Surprising is to see different kinds of languages, tools and methods used for developing classy AI programs and interesting it is to know about them, indeed. So, let’s have a glance over them to know how they contribute to the exceptional AI programs and what their role is to the world of artificial intelligence. 1. Python:Python contains simple syntaxes and easy to implement AI. It does not take much of your development time in comparison to C++, Ruby, or Java. The best thing of using Python is that it supports functional, object-oriented, and procedure-oriented styles of programming. It facilitates plenty of libraries to make our tasks more manageable. 2. Java: One of the right choices for AI development, Java has to do a lot with artificial neural networks, algorithms, and genetic programming. It offers many benefits like easy usage, package services, debugging ease, simplified work with large-scale projects, user interaction, and better graphical representation of data. It also incorporates Swing and SWT (the Standard Widget Toolkit) to make graphics and interfaces look appealing and sophisticated. 3. R: R offers the most effective production to analyze and manipulate data for statistical usages. It lets you create a well-designed and quality-based publication inclusive of formulas and mathematical symbols. Other than its general usage, R language also offers numerous packages like Gmodels, RODBC, Class, and Tm that are basically the part of machine learning. 4. Lisp: Lisp is regarded as the most suitable language for developing AI-based programs like DART, CYC, and Macsyma. It processes the symbolic information effectively and is also known best for the easy dynamic creation of the new objects and excellent prototyping capabilities with automatic garbage collection. The excellent features this language contains make it most useful for the AI programs. It contains the macro system that enables the developers to develop a domain-specific level of abstraction. 5. Prolog: Alongside Lisp, Prolog is another most used language to build AI projects, especially medical-related projects. Automatic backtracking, tree-based data structuring, and efficient pattern-matching are some of the important features of Prolog that makes the AI programming framework extremely powerful and flexible. Conclusion: If you go into details, you will get to know that all languages have different features to create diversified programs. As per my personal opinion, the cost of Lisp-based development is higher and so the demand for Lisp experts is limited in the market. But you cannot ignore Python as well when you are developing the Machine Learning projects, as it is extensively used in the ML sphere. Similarly, Java is better than Python to develop games, and desktop & mobile applications. So, all languages have their own importance and usage depending upon the type of AI project wherein they are going to be used.
Artificial Intelligence or AI is no longer a ‘sci-fi thing’ as it is already adopted by various industries. It is a set of technologies that makes machines smarter over time. It basically makes the computers think intelligently, especially when you are working on a new artificial intelligence project that needs a critical branch of engineering to accomplish. Surprising is to see different kinds of languages, tools and methods used for developing classy AI programs and interesting it is to know about them, indeed. So, let’s have a glance over them to know how they contribute to the exceptional AI programs and what their role is to the world of artificial intelligence. 1. Python:Python contains simple syntaxes and easy to implement AI. It does not take much of your development time in comparison to C++, Ruby, or Java. The best thing of using Python is that it supports functional, object-oriented, and procedure-oriented styles of programming. It facilitates plenty of libraries to make our tasks more manageable. 2. Java: One of the right choices for AI development, Java has to do a lot with artificial neural networks, algorithms, and genetic programming. It offers many benefits like easy usage, package services, debugging ease, simplified work with large-scale projects, user interaction, and better graphical representation of data. It also incorporates Swing and SWT (the Standard Widget Toolkit) to make graphics and interfaces look appealing and sophisticated. 3. R: R offers the most effective production to analyze and manipulate data for statistical usages. It lets you create a well-designed and quality-based publication inclusive of formulas and mathematical symbols. Other than its general usage, R language also offers numerous packages like Gmodels, RODBC, Class, and Tm that are basically the part of machine learning. 4. Lisp: Lisp is regarded as the most suitable language for developing AI-based programs like DART, CYC, and Macsyma. It processes the symbolic information effectively and is also known best for the easy dynamic creation of the new objects and excellent prototyping capabilities with automatic garbage collection. The excellent features this language contains make it most useful for the AI programs. It contains the macro system that enables the developers to develop a domain-specific level of abstraction. 5. Prolog: Alongside Lisp, Prolog is another most used language to build AI projects, especially medical-related projects. Automatic backtracking, tree-based data structuring, and efficient pattern-matching are some of the important features of Prolog that makes the AI programming framework extremely powerful and flexible. Conclusion: If you go into details, you will get to know that all languages have different features to create diversified programs. As per my personal opinion, the cost of Lisp-based development is higher and so the demand for Lisp experts is limited in the market. But you cannot ignore Python as well when you are developing the Machine Learning projects, as it is extensively used in the ML sphere. Similarly, Java is better than Python to develop games, and desktop & mobile applications. So, all languages have their own importance and usage depending upon the type of AI project wherein they are going to be used.

Artificial Intelligence or AI is no longer a ‘sci-fi thing’ as it is already adopted by various industries. It is a set of technologies that makes machines smarter over time. It basically makes the computers think intelligently, especially when you are working on a new artificial intelligence project that needs a critical branch of engineering to accomplish.

Surprising is to see different kinds of languages, tools and methods used for developing classy AI programs and interesting it is to know about them, indeed. So, let’s have a glance over them to know how they contribute to the exceptional AI programs and what their role is to the world of artificial intelligence.

1. Python:Python contains simple syntaxes and easy to implement AI. It does not take much of your development time in comparison to C++, Ruby, or Java. The best thing of using Python is that it supports functional, object-oriented, and procedure-oriented styles of programming. It facilitates plenty of libraries to make our tasks more manageable.

2. Java: One of the right choices for AI development, Java has to do a lot with artificial neural networks, algorithms, and genetic programming. It offers many benefits like easy usage, package services, debugging ease, simplified work with large-scale projects, user interaction, and better graphical representation of data. It also incorporates Swing and SWT (the Standard Widget Toolkit) to make graphics and interfaces look appealing and sophisticated.

3. R: R offers the most effective production to analyze and manipulate data for statistical usages. It lets you create a well-designed and quality-based publication inclusive of formulas and mathematical symbols. Other than its general usage, R language also offers numerous packages like Gmodels, RODBC, Class, and Tm that are basically the part of machine learning.

4. Lisp: Lisp is regarded as the most suitable language for developing AI-based programs like DART, CYC, and Macsyma. It processes the symbolic information effectively and is also known best for the easy dynamic creation of the new objects and excellent prototyping capabilities with automatic garbage collection. The excellent features this language contains make it most useful for the AI programs. It contains the macro system that enables the developers to develop a domain-specific level of abstraction.

5. Prolog: Alongside Lisp, Prolog is another most used language to build AI projects, especially medical-related projects. Automatic backtracking, tree-based data structuring, and efficient pattern-matching are some of the important features of Prolog that makes the AI programming framework extremely powerful and flexible.

Conclusion:

If you go into details, you will get to know that all languages have different features to create diversified programs. As per my personal opinion, the cost of Lisp-based development is higher and so the demand for Lisp experts is limited in the market. But you cannot ignore Python as well when you are developing the Machine Learning projects, as it is extensively used in the ML sphere. Similarly, Java is better than Python to develop games, and desktop & mobile applications.

So, all languages have their own importance and usage depending upon the type of AI project wherein they are going to be used.

AI chatbots are a new way to communicate with the customers and resolve their issues on multiple platforms like Facebook, Twitter, or any other social media channel. Most of them are made available as the round-the-clock bots supported by AI-enabled features and are used to infer customers’ preferences. For ecommerce companies, chatbots are typically designed to complete buyer’s purchase, offer product recommendations to buyers, and provide customer support. They are known best to provide a valuable, individual shopping experience. Today, more businesses are using bots, and it has made ecommerce a competitive space for all merchants. As a merchant, you have to stay ahead by tracking the activities of other sellers to understand how they are reaching their customers. The data reveals that the global chatbot market will soon touch $1.23 billion by 2025 and compound to an annual growth rate of 24.3%.AI ChatbotsMore businesses are integrating chatbots to serve their customers in the long-run. AI chatbots are trending immensely today. These chatbots function through machine learning and utilize Artificial Intelligence technology for handling a wide range of conversations and requests from the users. Instead of just responding to specific commands, AI chatbots interpret the language of the users to understand and meet their needs.Nobody would deny that it sounds foreign, strange, or impersonal when you talk to a robot. On the other hand, the AI-enabled chatbots have made many more brands human as well as approachable to the buyers. These bots personally remember and address their customer preferences and offer a convenient service 24/7.The Best AI ChatbotsBasically, the bots enabled with the technology that can serve your customers best and track the bot analytics are best to use. The more a bot gears towards the buyers, the most human-like, personal customer service it would provide. SephoraWhen talking about the best AI chatbots for ecommerce website, I will immediately recommend Sephora as the top-most one. It is one of the finest chatbots I can say to fulfill all your makeup needs in person. Sephora chatbot is also available on Kik that is one of the popular messaging apps. When you open the app, it insists the Kik users provide some of their specific details in the form of a quiz and it just takes seconds to complete. Then you can browse the products, get personalized beauty tips, and many more. The purchases can be made without even leaving the messaging app. eBayeBay was initially just like a Facebook Messanger tool that informs the bidders 15 minutes before an auction listing is ending and this enables them to get a last-minute bid-in. Now, they have expanded and offer ShopBot, which is a virtual personal shopping assistant that helps customers find the items they want on eBay. This AI-enabled shopping assistant has proved its worth with improving customer, retention, engagement, and enhanced sales drives.    Pizza HutPizza Hut sold its first pizza online much before Amazon sells the first book. They are constantly adopting new technologies and experiencing higher market recognition all through the world. Lastly, they enabled the facility to the customers to order pizza directly through their Facebook or Twitter Messenger app. Pizza hut chatbot also offers the customers to answer their customers over frequently asked questions and provides information about their latest promotions. For an impulse-buying platform - Pizza Hut, this kind of bot has really proved as a valuable asset to improve sales.These are just three of the most popular AI chatbots. Many businesses are adopting such kinds of bots to build a better brand presence, reach their target audience, drive sales, provide customer service, and grow their business.
AI chatbots are a new way to communicate with the customers and resolve their issues on multiple platforms like Facebook, Twitter, or any other social media channel. Most of them are made available as the round-the-clock bots supported by AI-enabled features and are used to infer customers’ preferences. For ecommerce companies, chatbots are typically designed to complete buyer’s purchase, offer product recommendations to buyers, and provide customer support. They are known best to provide a valuable, individual shopping experience. Today, more businesses are using bots, and it has made ecommerce a competitive space for all merchants. As a merchant, you have to stay ahead by tracking the activities of other sellers to understand how they are reaching their customers. The data reveals that the global chatbot market will soon touch $1.23 billion by 2025 and compound to an annual growth rate of 24.3%.AI ChatbotsMore businesses are integrating chatbots to serve their customers in the long-run. AI chatbots are trending immensely today. These chatbots function through machine learning and utilize Artificial Intelligence technology for handling a wide range of conversations and requests from the users. Instead of just responding to specific commands, AI chatbots interpret the language of the users to understand and meet their needs.Nobody would deny that it sounds foreign, strange, or impersonal when you talk to a robot. On the other hand, the AI-enabled chatbots have made many more brands human as well as approachable to the buyers. These bots personally remember and address their customer preferences and offer a convenient service 24/7.The Best AI ChatbotsBasically, the bots enabled with the technology that can serve your customers best and track the bot analytics are best to use. The more a bot gears towards the buyers, the most human-like, personal customer service it would provide. SephoraWhen talking about the best AI chatbots for ecommerce website, I will immediately recommend Sephora as the top-most one. It is one of the finest chatbots I can say to fulfill all your makeup needs in person. Sephora chatbot is also available on Kik that is one of the popular messaging apps. When you open the app, it insists the Kik users provide some of their specific details in the form of a quiz and it just takes seconds to complete. Then you can browse the products, get personalized beauty tips, and many more. The purchases can be made without even leaving the messaging app. eBayeBay was initially just like a Facebook Messanger tool that informs the bidders 15 minutes before an auction listing is ending and this enables them to get a last-minute bid-in. Now, they have expanded and offer ShopBot, which is a virtual personal shopping assistant that helps customers find the items they want on eBay. This AI-enabled shopping assistant has proved its worth with improving customer, retention, engagement, and enhanced sales drives.    Pizza HutPizza Hut sold its first pizza online much before Amazon sells the first book. They are constantly adopting new technologies and experiencing higher market recognition all through the world. Lastly, they enabled the facility to the customers to order pizza directly through their Facebook or Twitter Messenger app. Pizza hut chatbot also offers the customers to answer their customers over frequently asked questions and provides information about their latest promotions. For an impulse-buying platform - Pizza Hut, this kind of bot has really proved as a valuable asset to improve sales.These are just three of the most popular AI chatbots. Many businesses are adopting such kinds of bots to build a better brand presence, reach their target audience, drive sales, provide customer service, and grow their business.

AI chatbots are a new way to communicate with the customers and resolve their issues on multiple platforms like Facebook, Twitter, or any other social media channel. Most of them are made available as the round-the-clock bots supported by AI-enabled features and are used to infer customers’ preferences. 

For ecommerce companies, chatbots are typically designed to complete buyer’s purchase, offer product recommendations to buyers, and provide customer support. They are known best to provide a valuable, individual shopping experience. 

Today, more businesses are using bots, and it has made ecommerce a competitive space for all merchants. As a merchant, you have to stay ahead by tracking the activities of other sellers to understand how they are reaching their customers. The data reveals that the global chatbot market will soon touch $1.23 billion by 2025 and compound to an annual growth rate of 24.3%.

AI Chatbots

More businesses are integrating chatbots to serve their customers in the long-run. AI chatbots are trending immensely today. These chatbots function through machine learning and utilize Artificial Intelligence technology for handling a wide range of conversations and requests from the users. Instead of just responding to specific commands, AI chatbots interpret the language of the users to understand and meet their needs.

Nobody would deny that it sounds foreign, strange, or impersonal when you talk to a robot. On the other hand, the AI-enabled chatbots have made many more brands human as well as approachable to the buyers. These bots personally remember and address their customer preferences and offer a convenient service 24/7.

The Best AI Chatbots

Basically, the bots enabled with the technology that can serve your customers best and track the bot analytics are best to use. The more a bot gears towards the buyers, the most human-like, personal customer service it would provide. 

Sephora

When talking about the best AI chatbots for ecommerce website, I will immediately recommend Sephora as the top-most one. It is one of the finest chatbots I can say to fulfill all your makeup needs in person. Sephora chatbot is also available on Kik that is one of the popular messaging apps. When you open the app, it insists the Kik users provide some of their specific details in the form of a quiz and it just takes seconds to complete. Then you can browse the products, get personalized beauty tips, and many more. The purchases can be made without even leaving the messaging app. 

eBay

eBay was initially just like a Facebook Messanger tool that informs the bidders 15 minutes before an auction listing is ending and this enables them to get a last-minute bid-in. Now, they have expanded and offer ShopBot, which is a virtual personal shopping assistant that helps customers find the items they want on eBay. This AI-enabled shopping assistant has proved its worth with improving customer, retention, engagement, and enhanced sales drives.    

Pizza Hut

Pizza Hut sold its first pizza online much before Amazon sells the first book. They are constantly adopting new technologies and experiencing higher market recognition all through the world. Lastly, they enabled the facility to the customers to order pizza directly through their Facebook or Twitter Messenger app. Pizza hut chatbot also offers the customers to answer their customers over frequently asked questions and provides information about their latest promotions. For an impulse-buying platform - Pizza Hut, this kind of bot has really proved as a valuable asset to improve sales.

These are just three of the most popular AI chatbots. Many businesses are adopting such kinds of bots to build a better brand presence, reach their target audience, drive sales, provide customer service, and grow their business.

Research has revealed that the AI chatbot market is expected to expand significantly from $703.3 million in 2016 to $3,172.0 million by 2021. Chatbots are widely adopted across various companies right from the Fortune 500 to upcoming startups, to gain pace and efficiency. The evolving chatbot trend is an integration of Artificial Intelligence and Machine Learning concepts, which makes it crucial for businesses to implement it. Hence, implementing a chatbot to a business enhances customer engagement and makes tasks effortless.A CNBC report suggests that implementing chatbots will help businesses save more than $8 billion per year by 2022.With a significant innovation potential, some of the best transformations carried out by AI chatbots in 2020 are listed below:Making TransactionsChatbots are making its way beyond customer service experience and directly impacting a company’s revenue by implementing payment options. The user needs to type“Pay phone bill” on their smartphones, and the chatbot would lead the conversation to the final payment. When a user initiates a payment request, the bot will send an API request and return the payment link to proceed with payment. In 2020, it is believed that businesses will witness more bots combined with Paypal, digital wallets, and other payment gateways to make payments. The chatbots integration with the payment infrastructure provides enough data that allows businesses to promote conversation-driven upselling to users. Moreover, it also manages transaction data, payment confirmation, expense records, and various other crucial processes which leads to high user trust and retention.Voice BotsAn article suggests that more than 50% of all searches will be voice-driven by 2020. It has also been found that digital consumers prefer messaging platforms that have a voice and text-based interfaces. The aim is to deliver users with an effortless experience by voice-driven chatbots. Conversational bots utilize AI techniques and are capable of assisting over both text or voice. It can be assumed that the capabilities of these bots will only increase with time thereby increasing human dependence on them.Chatbots With Human TouchChatbots are expanding at an unprecedented rate, and also its market share is evolving. Today, chatbots can perform various tasks, such as suggesting options, along with answering questions. In short, chatbots can be more human because it will keep the users engaged by driving the conversation forward rather than breaking it. AI-driven chatbots are assumed to mimic social conversation and identify the intent behind the text that the user types. Later, the chatbot delivers a response that accurately matches the query typed. It is said that in 2020, AI integrated chatbots will prepare customer service agents for high impact conversations.Chatbots With Emotional IntelligenceEmotional intelligence is an understanding of human emotions from a conversation and responding to them accordingly. Emotional Quotient is the use of AI facial feature detection tools to analyze how a person is feeling, and Emotional Intelligence in AI identifies speech and text. When a chatbot detects what a user has typed, it automatically extracts information and tries to understand their mood to know if the user is angry, sad, or happy. With the advancement in technology, chatbots will also be monitoring punctuation and capitalization to predict the user's emotions. Moreover, it is anticipated that companies are planning to create bots with emotional intelligence to drive soft skills to businesses, creating a profound impact on customer interaction.Chatbots based on Natural Language ProcessingNatural Language Processing integrated chatbots will be helpful for the companies offering customer service scenarios. NLP analyzes the intent of the user’s input and generates responses according to them. NLP has the power to understand past conversations and improve the ability to deliver relevant answers. Reports reveal that the Royal Bank of Scotland is already using NLP in their chatbots to enhance customer experience through text analysis. In 2020, businesses can witness more developers working on the methods to train their bots to carry out multiple interactions and conversations.Analytics and Insights with ChatbotAny organization can track, extract, or analyze data with the help of analytics. This information further helps in understanding the prospect’s requirements and accordingly changing strategies and products. Chatbots also aggregate vast amounts of data and maintain the record of every question asked, answer delivered, and query assigned through to agents. These processes help businesses to enhance their progress and understand the consumer mindset continuously. The chatbot analytics and insights help the companies to accurately track and gauge key search terms, preferences, satisfaction, and customer relationships.Self-Learning ChatbotsFor any organization to stay ahead in the race, it is crucial to train bots with the latest data and keep them updated. In 2020, it can be expected by the companies to create self-learning chatbots that will help them by saving lots of their time feeding new data to bots. The bots will analyze the customer’s behavior pattern in every interaction and train themselves to maintain customer engagement. Hence, the chatbots will learn to enhance their response capabilities based on user feedback.Social Media ChatbotsCurrently, social media is the most reliable digital marketing medium. Users generally spend most of their time on social media voicing opinions, ordering products & services, writing reviews, and even getting in touch with online businesses. Hence, it becomes essential for companies to implement chatbots to facilitate customer interaction on these platforms..Final WordsHence, all the points mentioned above clearly depicts different ways in which AI chatbots will transform the retail industry in 2020.
Research has revealed that the AI chatbot market is expected to expand significantly from $703.3 million in 2016 to $3,172.0 million by 2021. Chatbots are widely adopted across various companies right from the Fortune 500 to upcoming startups, to gain pace and efficiency. The evolving chatbot trend is an integration of Artificial Intelligence and Machine Learning concepts, which makes it crucial for businesses to implement it. Hence, implementing a chatbot to a business enhances customer engagement and makes tasks effortless.A CNBC report suggests that implementing chatbots will help businesses save more than $8 billion per year by 2022.With a significant innovation potential, some of the best transformations carried out by AI chatbots in 2020 are listed below:Making TransactionsChatbots are making its way beyond customer service experience and directly impacting a company’s revenue by implementing payment options. The user needs to type“Pay phone bill” on their smartphones, and the chatbot would lead the conversation to the final payment. When a user initiates a payment request, the bot will send an API request and return the payment link to proceed with payment. In 2020, it is believed that businesses will witness more bots combined with Paypal, digital wallets, and other payment gateways to make payments. The chatbots integration with the payment infrastructure provides enough data that allows businesses to promote conversation-driven upselling to users. Moreover, it also manages transaction data, payment confirmation, expense records, and various other crucial processes which leads to high user trust and retention.Voice BotsAn article suggests that more than 50% of all searches will be voice-driven by 2020. It has also been found that digital consumers prefer messaging platforms that have a voice and text-based interfaces. The aim is to deliver users with an effortless experience by voice-driven chatbots. Conversational bots utilize AI techniques and are capable of assisting over both text or voice. It can be assumed that the capabilities of these bots will only increase with time thereby increasing human dependence on them.Chatbots With Human TouchChatbots are expanding at an unprecedented rate, and also its market share is evolving. Today, chatbots can perform various tasks, such as suggesting options, along with answering questions. In short, chatbots can be more human because it will keep the users engaged by driving the conversation forward rather than breaking it. AI-driven chatbots are assumed to mimic social conversation and identify the intent behind the text that the user types. Later, the chatbot delivers a response that accurately matches the query typed. It is said that in 2020, AI integrated chatbots will prepare customer service agents for high impact conversations.Chatbots With Emotional IntelligenceEmotional intelligence is an understanding of human emotions from a conversation and responding to them accordingly. Emotional Quotient is the use of AI facial feature detection tools to analyze how a person is feeling, and Emotional Intelligence in AI identifies speech and text. When a chatbot detects what a user has typed, it automatically extracts information and tries to understand their mood to know if the user is angry, sad, or happy. With the advancement in technology, chatbots will also be monitoring punctuation and capitalization to predict the user's emotions. Moreover, it is anticipated that companies are planning to create bots with emotional intelligence to drive soft skills to businesses, creating a profound impact on customer interaction.Chatbots based on Natural Language ProcessingNatural Language Processing integrated chatbots will be helpful for the companies offering customer service scenarios. NLP analyzes the intent of the user’s input and generates responses according to them. NLP has the power to understand past conversations and improve the ability to deliver relevant answers. Reports reveal that the Royal Bank of Scotland is already using NLP in their chatbots to enhance customer experience through text analysis. In 2020, businesses can witness more developers working on the methods to train their bots to carry out multiple interactions and conversations.Analytics and Insights with ChatbotAny organization can track, extract, or analyze data with the help of analytics. This information further helps in understanding the prospect’s requirements and accordingly changing strategies and products. Chatbots also aggregate vast amounts of data and maintain the record of every question asked, answer delivered, and query assigned through to agents. These processes help businesses to enhance their progress and understand the consumer mindset continuously. The chatbot analytics and insights help the companies to accurately track and gauge key search terms, preferences, satisfaction, and customer relationships.Self-Learning ChatbotsFor any organization to stay ahead in the race, it is crucial to train bots with the latest data and keep them updated. In 2020, it can be expected by the companies to create self-learning chatbots that will help them by saving lots of their time feeding new data to bots. The bots will analyze the customer’s behavior pattern in every interaction and train themselves to maintain customer engagement. Hence, the chatbots will learn to enhance their response capabilities based on user feedback.Social Media ChatbotsCurrently, social media is the most reliable digital marketing medium. Users generally spend most of their time on social media voicing opinions, ordering products & services, writing reviews, and even getting in touch with online businesses. Hence, it becomes essential for companies to implement chatbots to facilitate customer interaction on these platforms..Final WordsHence, all the points mentioned above clearly depicts different ways in which AI chatbots will transform the retail industry in 2020.

Research has revealed that the AI chatbot market is expected to expand significantly from $703.3 million in 2016 to $3,172.0 million by 2021. Chatbots are widely adopted across various companies right from the Fortune 500 to upcoming startups, to gain pace and efficiency. The evolving chatbot trend is an integration of Artificial Intelligence and Machine Learning concepts, which makes it crucial for businesses to implement it. Hence, implementing a chatbot to a business enhances customer engagement and makes tasks effortless.

A CNBC report suggests that implementing chatbots will help businesses save more than $8 billion per year by 2022.

With a significant innovation potential, some of the best transformations carried out by AI chatbots in 2020 are listed below:

Making Transactions

Chatbots are making its way beyond customer service experience and directly impacting a company’s revenue by implementing payment options. The user needs to type“Pay phone bill” on their smartphones, and the chatbot would lead the conversation to the final payment. When a user initiates a payment request, the bot will send an API request and return the payment link to proceed with payment. In 2020, it is believed that businesses will witness more bots combined with Paypal, digital wallets, and other payment gateways to make payments. The chatbots integration with the payment infrastructure provides enough data that allows businesses to promote conversation-driven upselling to users. Moreover, it also manages transaction data, payment confirmation, expense records, and various other crucial processes which leads to high user trust and retention.

Voice Bots

An article suggests that more than 50% of all searches will be voice-driven by 2020. It has also been found that digital consumers prefer messaging platforms that have a voice and text-based interfaces. The aim is to deliver users with an effortless experience by voice-driven chatbots. Conversational bots utilize AI techniques and are capable of assisting over both text or voice. It can be assumed that the capabilities of these bots will only increase with time thereby increasing human dependence on them.

Chatbots With Human Touch

Chatbots are expanding at an unprecedented rate, and also its market share is evolving. Today, chatbots can perform various tasks, such as suggesting options, along with answering questions. In short, chatbots can be more human because it will keep the users engaged by driving the conversation forward rather than breaking it. AI-driven chatbots are assumed to mimic social conversation and identify the intent behind the text that the user types. Later, the chatbot delivers a response that accurately matches the query typed. It is said that in 2020, AI integrated chatbots will prepare customer service agents for high impact conversations.

Chatbots With Emotional Intelligence

Emotional intelligence is an understanding of human emotions from a conversation and responding to them accordingly. Emotional Quotient is the use of AI facial feature detection tools to analyze how a person is feeling, and Emotional Intelligence in AI identifies speech and text. When a chatbot detects what a user has typed, it automatically extracts information and tries to understand their mood to know if the user is angry, sad, or happy. With the advancement in technology, chatbots will also be monitoring punctuation and capitalization to predict the user's emotions. Moreover, it is anticipated that companies are planning to create bots with emotional intelligence to drive soft skills to businesses, creating a profound impact on customer interaction.

Chatbots based on Natural Language Processing

Natural Language Processing integrated chatbots will be helpful for the companies offering customer service scenarios. NLP analyzes the intent of the user’s input and generates responses according to them. NLP has the power to understand past conversations and improve the ability to deliver relevant answers. Reports reveal that the Royal Bank of Scotland is already using NLP in their chatbots to enhance customer experience through text analysis. In 2020, businesses can witness more developers working on the methods to train their bots to carry out multiple interactions and conversations.

Analytics and Insights with Chatbot

Any organization can track, extract, or analyze data with the help of analytics. This information further helps in understanding the prospect’s requirements and accordingly changing strategies and products. Chatbots also aggregate vast amounts of data and maintain the record of every question asked, answer delivered, and query assigned through to agents. These processes help businesses to enhance their progress and understand the consumer mindset continuously. The chatbot analytics and insights help the companies to accurately track and gauge key search terms, preferences, satisfaction, and customer relationships.

Self-Learning Chatbots

For any organization to stay ahead in the race, it is crucial to train bots with the latest data and keep them updated. In 2020, it can be expected by the companies to create self-learning chatbots that will help them by saving lots of their time feeding new data to bots. The bots will analyze the customer’s behavior pattern in every interaction and train themselves to maintain customer engagement. Hence, the chatbots will learn to enhance their response capabilities based on user feedback.

Social Media Chatbots

Currently, social media is the most reliable digital marketing medium. Users generally spend most of their time on social media voicing opinions, ordering products & services, writing reviews, and even getting in touch with online businesses. Hence, it becomes essential for companies to implement chatbots to facilitate customer interaction on these platforms..

Final Words

Hence, all the points mentioned above clearly depicts different ways in which AI chatbots will transform the retail industry in 2020.

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