Best Artificial Intelligence Software
Artificial Intelligence software is being utilized progressively in the market as a part of business programming to computerize the procedures. An AI platform includes profound learning and machine calculations to robotize business errands. These automated processes save a lot of energy and time of organizations, empowering the human resource to work all the more profitable and efficient. A business intelligence software makes the work less demanding for individuals by updating their abilities. Are you looking for such an AI software to catalyze your company operations? Here is a list of the top Artificial Intelligence software companies by GoodFirms for you to select the one that fits your requirements.
List of Leading Artificial Intelligence Software | Top AI SoftwareFilter
Powered by the latest innovations in machine learning, Watson lets you learn more with fewer data. You can integrate AI into your most important business processes, informed by IBM’s rich industry expertise. You can build models from scratch, or leverage our APIs and pre-trained business solutions. No matter how you use Watson, your data and insights belong to you − and only you. ... read more about IBM Watson
Engati allows you to build chatbots of varying complexities & scale with ease. With 150+ chatbot templates to help you get started, a best-in-class Conversation Flow builder, robust integration capabilities and ability to deploy the bot on Website, Facebook Messenger or one of 14+ channels, Engati has made Chatbot building easier than never before. The platform and it’s capabilities revolves a... read more about Engati
People and facial analysis for business intelligence, safety and security Our software continuously monitors target zones to provide the count, gender, age and unique identification of individuals over time. This Facial Demographics Model is used to understand demographic variations over time for a designated area of the city, or to track customer patterns such as dwell-time spent in lines or w... read more about Deep Vision
Cloud Machine Learning Engine is a cloud-based predictive analytics modelling platform for data of all sizes. It helps you to build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. ... read more about Cloud Machine Learning Engine
Built into the Salesforce Platform, Einstein is a layer of artificial intelligence that delivers predictions and recommendations based on your unique business processes and customer data. Use those insights to automate responses and actions, making your employees more productive, and your customers even happier. ... read more about Salesforce Einstein
Azure Machine Learning Studio is an interactive programming tool for predictive analytics. It is a professional tool that lets users easily drag-and-drop objects on the interfaces to create models that can be pushed to the web as services to be utilized by tools like business intelligence systems. You can explore new ways to build innovative apps on a cloud and edge powered by AI. Azure offers AI ... read more about Azure Machine Learning Studio
TensorFlow is an open source software library for high-performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with s... read more about TensorFlow
Infosys Nia is an Artificial Intelligence platform which collects and aggregates organizational data from people, processes and legacy systems into a self-learning knowledge base and then automates repetitive business and IT processes, freeing up the human effort to solve higher-value customer problems that require creativity, passion, and imagination. Our clients have used Infosys Nia to leverage... read more about Infosys Nia
Nvidia Deep Learning AI is a suite of products dedicated to deep learning and machine intelligence. This lets industries and governments power their decisions with smart and predictive analytics to provide customers and constituents with elevated services. ... read more about Nvidia Deep Learning AI
Wipro Holmes is a machine learning and artificial intelligence powered platform that offers cognitive services that accelerate business processes through automation. With Wipro Holmes, companies can look forward to discovering new solutions to their unique problems, enabling them to thrive in the future. ... read more about Wipro Holmes
Playment is a fully managed data labelling platform generating training data for computer vision models at scale. We empower companies in the Autonomous Vehicle, Drones, Mapping, and similar spaces with high precision annotation services - No matter how complex. We’re helping companies and research institutions like Drive AI, Starsky Robotics, CYNGN, and UIUC focus on their core areas of dev... read more about Playment
The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your or... read more about IBM SPSS
H2O Driverless AI is a machine learning automation platform that aims to create and train machine learning models without requiring pro-level expertise from the users. The platform is designed for keeping corporate users in mind who want to prepare data, calibrate different parameters and define the optimal algorithms for dealing with their industry-specific problems related to machine learning.&n... read more about H2O Driverless AI
Infrrd AI takes out the pain of capturing data and extracting intelligence from a plethora of documents, delivering you the information you need without having to manually go over documents one by one. The software basically saves you precious time and effort and you never have to worry about accuracy as Infrrd AI uses the latest OCR technologies and their own AI algorithms to ensure the precision... read more about Infrrd AI
x.ai makes an artificial intelligence personal assistant who schedules meetings for you. x.ai personal assistants make certain that no email is left unanswered. All correspondences coming from clients and contacts are processed and meetings are set-up with them at a time that is convenient for the user. ... read more about x.ai
WorkFusion's Intelligent Automation empowers enterprise operations to digitize. WorkFusion combines robotic process automation (RPA), AI-powered cognitive automation, workflow, intelligent conversational agents, crowdsourcing and analytics into enterprise-grade products purpose-built for operations professionals. These capabilities let enterprise leaders digitize their operation, exponentially... read more about WorkFusion Smart Process Automation
Dialogflow is a human-computer interaction developer grounded on natural language conversations. It give users new ways to interact with your product by building engaging voice and text-based conversational interfaces, such as voice apps and chatbots, powered by AI. Connect with users on your website, mobile app, the Google Assistant, Amazon Alexa, Facebook Messenger, and other popular platforms a... read more about Dialogflow
Pega Workforce Intelligence is a best-in-class desktop bot that tells employers about the behaviours of their workforce. The application deploys AI-powered bots to gather information regarding their workers’ activities for the day. With Pega Workforce Intelligence, managers can gain insights into their team members’ working habits and find solutions to increase productivity in the work... read more about Pega Workforce Intelligence
Rainbird is an AI-powered automated decision-making platform that allows businesses to replicate and scale their best workers. The Rainbird engine has two parts: an easy-to-use authoring platform where knowledge maps, rules and data links are built by the experts in a business, and a runtime platform that allows users to interact with this knowledge in real-time through a chatbot, app, or web assi... read more about Rainbird
Inbenta is an AI-powered intelligent search platform that makes it easy for their consumers and potential clients to find the information they seek without having to contact customer support. The solution helps to lower the volume of support requests that contain repetitive questions, enabling customer support representatives to address other concerns while reducing support costs. ... read more about Inbenta
Informatica Big Data is a database management software that assists organizations in capturing and processing big data in real time. The platform does so without entities incurring high financial costs due to manual processes or because of disjointed point solutions. ... read more about Informatica Big Data
Acta is one of the most prominent solutions which can make end-end automation of meeting and be generating automatic meeting minutes & follow-ups in due time. We are introducing Minutes-as-a-Service (MaaS) from acta.ai leveraging AI and NLP. Since most of our calls are very important and required to capture meeting minutes, Acta will save a lot of time and money. ... read more about ACTA.AI
Fixel is a fully automated segmentation software that uses highly advanced machine-learning algorithms to help users rank and segment their website audience as per the level of their engagement. This segmentation solution is designed to learn and understand how website visitors interact and behave with the user’s website and identify visitors that matter most. Once Fixel determines and catego... read more about Fixel
Mahout has a lot of things going on at different levels, and it can be hard to know where to start. Let’s provide an overview to help you see how the pieces fit together.Mahout runs inline with your regular application code.Now Mahout defines its own in-core BLAS packs and refers to them as Native Solvers. The default native solver is just plain old JVM, which is painfully slow, but works just ... read more about Apache Mahout
Artelnics is a company based in Spain specialized in the development and application of predictive analytics. Our mission is to bring high value to our customers by applying innovative solutions to their problems.The company promotes its advance through research and development, internationalization and continuous improvement. ... read more about OpenNN
Simple and efficient tools for data mining and data analysis.Accessible to everybody, and reusable in various contexts.Open source, commercially usable - BSD license. Built on NumPy, SciPy, and matplotlib. A very short introduction to machine learning problems and how to solve them using scikit-learn. Presents basic concepts and conventions. ... read more about Scikit-Learn
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use.... read more about accord.Net
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. ... read more about Torch
PaleBlue is the leading provider of VR, AR, and 3D simulators for the real world. PaleBlue solutions in digitalization help its clients to intensify training, streamline workflow, and improve safety - worldwide. PaleBlue continuously delivers tools that are as modern, well-designed, and easy-to-use as the ones encountered by the clients elsewhere in their daily lives.... read more about PaleBlue
Built upon a Big Data Layer, emStream is eMudhra’s Analytics stack which can be used to address bespoke requirements in Sentiment, Fraud, and Risk analytics. With support for data ingestion across a range of data sources, emStream’s core engine runs on an advanced, in-memory Apache Spark computing engine that delivers 100x the performance of Apache Hadoop for your workloads. This enables it... read more about emStream
Skan is a cognitive technology startup redefining business process discovery to empower large enterprises to uncover, untangle, and unleash their business processes. Skan’s offering accelerates and optimizes intelligent automation, digital transformation, and helps define the future of work. Skan’s unique approach leverages computer vision, deep learning, and machine intelligence to observe... read more about Skan
Origami is a “best-price scenario” estimating software that allows you to print on a wide range of materials, with an unlimited amount of options, including the capability to use pre-built templates and customization during the estimating process. These options can greatly reduce estimation time, as well as guarantee your customer gets the best price possible.... read more about Origami
At LiveWorld, we provide conversation management software, consulting, and online agent workforce services. These empower companies to manage conversations in messaging apps and social media to develop deeper relationships with customers. We specialise in handling the speed and scale requirements of brands to engage customers 1-on-1 in real time and deliver personalised interactions with a human t... read more about LiveWorld
Tryvium Desk an Enterprise collaboration platform fueled with AI chatbots, to transcend difficulty in automating certain IT operations and providing most comprehensive customer experience & services. To go beyond traditional customer services and to expand the voice of the customer, Tryvium integrates MS Teams with markets leading ITSM tools empowering agent’s console with 360-degree view of cus... read more about Tryviumdesk
teX.ai is one of the leading Ai based Text Analytics product. It’s completely customizable and helps convert complex text data into accurate insights. teX.ai is a hands-on, easy to use text analytics tool built on sophisticated Python libraries. This SaaS based text analytics suite provides insights to enhance customer experience by processing raw text data using NLP, Ai and DL algorithms. I... read more about teX.ai
A Voice-API - also Speech-API - is a set of functions that allow a software application to initiate and receive calls without requiring the application developer to know details about telecommunication technologies and protocols. API providers like TENIOS interfaces between the software application and the telecommunication provider. The application, in the context of Voice-API, defines how calls ... read more about TENIOS Voice API
Right now, to leverage one of the most powerful new technologies of our age, you need an advanced data science team and $250,000. Even then it will take 3 months to get to a point where their analysis can deliver value to your operation. Farrago AI builds products that empower organisations to use predictive analytics in hours for a tiny fraction of the cost. Created in Wellington, NZ, launc... read more about Farrago
Aspire Systems is a global technology services firm serving as a trusted technology partner for our customers. We work with some of the world's most innovative enterprises and independent software vendors, helping them leverage technology and outsourcing in our specific areas of expertise. Our services include Product Engineering, Enterprise Solutions, Independent Testing Services and IT Infrastru... read more about Imagyn.ai
Traditional OCR engines fail to give you good results since they do not know what they are reading and cause a substantial amount of errors. Fixing them requires a lot of manual labor. Infrrd OCR understands what it is extracting and improves the output automatically using Machine learning by learning from existing records and filling the missing gaps; helping you save time and cost.... read more about Infrrd OCR
You can’t possibly read all of your sales & customer conversations. Often, the most actionable insights are hidden deep in open text responses. Valuable data is buried in your company’s key tools like Slack, SharePoint, Outlook, email, social media, surveys and more. Involve integrates with these tools, both private or public SaaS platforms.... read more about InvolveSoft
Our Intelligent Automation software platform helps organizations transform information-intensive business processes, reduce manual work and errors, minimize costs, and improve customer engagement. We combine RPA, cognitive capture, process orchestration, mobility and engagement, and analytics to ease implementations and deliver dramatic results that mitigate compliance risk and increase competitiv... read more about Kofax
Collaborative tools are critical. Forecasts based on up-to-minute market conditions are the only way to navigate the current economy. Historic data can no longer be used as a guidepost. Collective[i]’s network and application of AI/ML is the answer to all of this uncertainty.... read more about Collective
Maya enables faster, easier and more accurate decisions for business users across the enterprise. By enabling a simple, natural language conversation between business users and their data. It eliminates the need for users to access dashboards, drill down, analyze data or depend on data analysts. Just ask and you have the answer instantly.... read more about Merchandise Analytics
Scibids Technology was founded in 2016 in Paris, France with the vision of building the future of algorithmic media trading. Drawing from their PhD in Artificial Intelligence (AI) and background in advertising technology (ad tech) and the financial technology (fintech), Scibids’ two founders built a SaaS that mirrors the innovation and sophistication of stock trading. Fast forward to the p... read more about Scibids
Our team is a combination of domain experts, technologists, data scientists, and customer evangelists. We are united in the belief that technology is not a substitute for human ingenuity, but rather a tool that can augment an individual or team’s performance in ways that are truly transformative. We set out to build the best product and provide the best customer experience to ultimately make liv... read more about Agile Land Insights (ALI)
Digital agents using artificial intelligence make cognitive automation happen. These agents Perceive, Reason and Learn over time, making them more efficient as time goes by. A Critical component of the future of the work place are digital agents. A Digital agent is your digital employee who has perform transactions, interact with customers, software applications, network components read documents... read more about BAAR
Persado’s revolutionary Message Machine leverages the world’s most comprehensive marketing language knowledge base of over one million words and phrases, powered by AI and data science. Persado unlocks the power of words to engage consumers like never before, one by one, moment by moment, across every marketing channel, driving improvements in brand engagement and revenue performance.... read more about Persado
Whether you’re an analytics leader or aspiring to be, proving value comes down to your ability to measure and report the business impact of your data. Quill adds stories to your BI tools that anyone can understand, improving data adoption across your organization.... read more about Quill
- Buyer's Guide to Artificial Intelligence Software
- What is Artificial Intelligence?
- What are the types of Artificial Intelligence?
- What are the trends in AI?
- How has Artificial Intelligence impacted society in the 21st century?
- What is an AI software?
- Why has there been a sudden push to adopt AI Software in Businesses?
- Can AI influence VR/AR? If so, How?
- Can AI software be used to overrule human decision-makers in business?
- How can AI software help in revolutionizing customer experience?
- How can AI Software help in streamlining customer service?
- What are the features of AI Software?
- What are the advantages of AI software?
- What is the Average Price of AI Software?
- How to Choose the right AI Software for your Business?
- Why consider GoodFirms' list of top AI Software?
Buyer's Guide to Artificial Intelligence Software
The world is technologically evolving at a rate that may have been unachievable several years ago. Terms such as Machine Learning (ML), Augmented Reality (AR), and Natural Language Processing (NLP) define advancements in human-computer interactions and its applications today.
All of the aforementioned fields come under the bigger collective of Artificial Intelligence (AI), which has been the center of computer science innovation for the last half-century. With unprecedented innovation in the field thanks to complementary advancements in associated fields of computing, AI development will soon be the pathway to judge a company or nation’s technological superiority.
The Buyer’s Guide to Artificial Intelligence Software has been created to answer customer queries, highlight its advantages, and provide different pricing alternatives for business. The ambition is to ensure users are aware of all possible aspects of their software before purchase.
What is Artificial Intelligence?
AI is the reproduction of human behavior in machines to ensure they perform a specific task and achieve resultant goals expected from those tasks, with discipline and adherence to constraints. More specifically, it is the branch of Computer Science that deals with making machines intelligent.
The human mind is renowned for its ability to learn, compute, and solve complex problems with high efficiency. AI intends to replicate these behavioral characteristics into machines, which can then process large tranches of data through methods such as natural language processing, and deep learning to better aid human output when accomplishing tasks together.
The term ‘Artificial Intelligence’ was coined in 1955, after a group of the best minds in computer science viz. John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, collaborated to publish a proposal for a study into the then-nascent branch of computing. 1956 is generally considered the birth year of the field, after the landmark ‘Darthmouth Conference’.
The field as we know it today has evolved from the path-breaking study of Neural Networks in the 1950s, the application of NLP techniques in the ‘60s, the rise of ML in the ‘70s and ‘80s, and now modern-day implementation of Deep Learning techniques.
What are the types of Artificial Intelligence?
Depending on the source you refer to, there may be multiple ways to segment AI. On a surface-level differentiation table, AI can be distinguished into two key sects - Strong AI and Weak AI.
Strong AI systems solve complex problems that may be strongly related to humans, without needing personnel to intervene. It processes a large volume of data to infer situations. E.g., It is used in hospitals to help perform complicated surgery.
Weak AI ensures machines accomplish just one task, considering a limited data set. E.g., Chess-playing machines/computer programs.
AI is also classified based on the type of functionality it tries to perform. The four types of AI, in this case, are as follows -
- Reactive AI - The simplest kinds of AI, these machines react to present situations or conditions akin to human beings’ reactions to stimuli. It cannot use learning to determine reactions to specific situations since they do not have memory. They are used to respond to a limited set of inputs.
- Limited Memory AI - As the name suggests, these AI machines can store data limited to the recent past, on which it determines immediate actions or decisions. E.g., Self-driving cars.
- Theory of Mind AI - Though this kind of AI is largely conceptual at this point, it is considered the future of the field. Theory of Mind AI will have capabilities that can manage and determine human emotions, interacting with persons based on belief, values, and structured thought processes. Understanding conditional human development will be key to harnessing the true power of this type of AI, which can help it comprehend human needs and thoughts better.
- Self-Aware AI - Considered the final form, Self-Aware AI exists only as a hypothetical scenario. Here, the machine has exceptional intellectual ability, desires, beliefs, and communication capabilities, as well as other complex behavioral characteristics similar to, if not superior to, human beings. Put simply, the machine is self-conscious. E.g., Several Hollywood movies, like the ‘Terminator’ series, put self-aware, programmed machines on a warpath against humans.
What are the trends in AI?
AI software and its adjoining fields of computing science are undergoing large scale enhancements in code and form as well as implementation over the horizon. Some of the trends set to impact what software is used for ai are as follows -
- AI-enabled smart chips - In 2019, Qualcomm launched the Snapdragon 865 processor, integrating AI performance-enhancing toolkit chips onto them. The AI software laden algorithms programmed onto these chips will help applications such as photography, visual and virtual assistants, OIC, AI-based translation of the text, etc., process information faster thereby increasing human interaction and satisfaction with AI components.
- Robotic Process Automation - Administrative tasks are repetitive. Filling forms, generating RFPs, producing reports are essential administrative tasks that constantly eat up human resource times. AI solutions will now execute a variety of these tasks reducing the mundane nature of jobs for humans.
- AI-powered cybersecurity - AI has been at the forefront of increasing visibility of transactions, ascertaining fraud, and keeping checks on unsecured/unaccounted access. It is important to keep these developments going.
- Increased efficiency in Machine Learning - AI can be used to enhance Automated Machine Learning (AML), which can be implemented throughout organizations and institutions to make business processes efficient. Professionals can use tools such as Google Cloud AutoML to program complex processes and workflows in a jiffy.
- AI and IoT - IoT devices have formed a key component of people’s lives, be it smart speakers or intelligent home care devices. AI implementation on these devices to enhance the features already afforded to users such as complex voice analysis and implementation of tasks, ‘Master Readers’ to calculate measurements of certain compounds, etc., all of which can make human lives more productive.
How has Artificial Intelligence impacted society in the 21st century?
Modern society depends a lot on computing to help accomplish a variety of tasks. From creating ideal temperatures in refrigerators to store grocery to widespread application in government defense systems, basic AI systems are near-ubiquitous.
Machines such as Roomba have taken the home care industry by storm. Clever implementation of AI has resulted in cleaning tasks being conducted efficiently. Kismet, a social smart bot manufactured by researchers at MIT, is an AI machine that can converse emotionally with humans.
Powerful AI software is at our fingertips as well. Applications such as SIRI and Alexa hone in on human needs to accomplish tasks on iOS and Amazon devices. The help retrieves instant answers, using the internet, as well as accomplish a set of limited tasks.
One of the biggest advancements in AI has been the implementations (and adoption) of self-driving or autonomous vehicles. E.g., Tesla’s models rely on advanced AI features and hardware upgrades to navigate through cities and open roads alike.
Similarly, hospitals around the world have become accustomed to having AI devices take over important processes. Some of them include measurement of dosages to patients during a procedure and surgical assistance. AI-powered robots have been taken up in the disinfection of hospitals as well to check the spread of dangerous diseases.
Elsewhere, artificial intelligence software is being put to use in molecular biology and biotechnology to analyze compounds, viruses, and bacteria to ensure pandemic-like situations can be better forecasted and combated.
Marketers have used AI to achieve better positioning, awareness, and sales for their brands. Chatbots converse with users on a website and guide them in decision making, by simply computing the nature of their input. AI is also used to analyze big data of digital marketing campaigns and tweak them based on daily analysis, without human intervention.
In the entertainment sector, Over the Top (OTT) platforms such as Netflix run recommendation engines and predictive analysis tools anticipate user behavior, tastes. They keep their libraries updated on this information as well as suggest new shows in every region or language to the user.
With significant contributions to the fields of astronomy, customer service support, as well as logistics, AI’s implementations are endless in the modern era.
What is an AI software?
AI software consists of an algorithm, or even a set of algorithms, that help machines execute an array of tasks by analyzing data patterns and, in some cases, learning from memory. In essence, AI solutions help machines mimic human capabilities to a certain degree. The problem-solving capability and decision making processes of machines improve considerably, which helps us automate certain processes at the hands of machines.
AI tools include functionalities such as machine learning, natural language processing, as well as speech and voice recognition. The purpose of artificial intelligence tools is to help build applications and devices which help users in specific functions.
Chatbots, robots, drones, etc., are best examples that often contain AI software of some kind. Artificial intelligence solutions have a variety of applications and their importance to humanity is only set to grow.
Why has there been a sudden push to adopt AI Software in Businesses?
AI programs have been identified as path-breaking in many business sectors. With organizations seeking to extract maximum revenue through the deployment of automation techniques and newer, enhanced versions of data analysis, artificial intelligence tools’ popularity has sprung up in several sectors. Some reasons why businesses have pushed hard to adopt artificial intelligence solutions are as follows -
Enhanced Automation - The best artificial intelligence software often contributes to automation, which reduces the load on manpower and effectively completes multiple routines.
Fraud detection - Specifically important for banks, AI tools can analyze hundreds and thousands of transactions and flag suspicious or fraudulent ones.
Predictive analytics - From companies that want to estimate total inventory stock every week and plan to analysts determining the flux of a sector’s economy - predictive analytics helps businesses to trim excess cost and anticipate economic conditions.
Control of cash burn - Businesses can better utilize fund flow through the smart implementation of management techniques as analyzed and supported by AI solution data.
E-commerce innovation - When customers arrive on the landing page of an e-commerce portal, they are suggested multiple products or categories based on their last purchase or browsing history. The recommendation engines are all AI software powered, which results in greater customer engagement and a more active user base.
Sales estimates - Artificial intelligence software companies often market their products as being able to correctly estimate quarterly sales briefs. This happens through a process called lead scoring. It is often used by B2B sales companies who need to determine the profitability of a client over time.
Data security - Artificial intelligence solutions help mitigate attempts by hackers to gain access to sensitive files, breaches in the database, or data manipulation by anomaly analysis.
Customer service -Chatbots run on highly evolved artificial intelligence programs, and help companies engage customers on websites.
Can AI influence VR/AR? If so, How?
With technology behemoths chasing the idea of Augmented Reality (AR) as the next big thing, it is natural that AI experts believe there’s enough room for an amalgamation of the software solution, especially in AR/AI headsets or devices.
Some ways in which AI and AR software can benefit each other are as follows -
Environment mapping - This process involves the AI software mapping the environment around the headset/device used, alongside the functionality of the AR software to present a unique mixed reality - the combination of real-world structures and virtual enhancements.
Accurate depth perception - Using AR devices to measure values of depth and measurement with AI software making decisions on actions that can be taken with the depth.
Military usage - Highlighting bomb tracks and enemy presence. AI/AR simulations of battle drills, with quantum computing speeds, can deliver instantaneous battle strategies based on historical data and present-day conditions.
Animation - A mixture of AI and AR can replace the standard method of drawing cartoons with incredible accuracy and a range of characteristics.
Increased visual optimization: Rendering images to full clarity based on the interest of the user or his eye movements.
Can AI software be used to overrule human decision-makers in business?
AI solutions provide crystal clear insight into business processes and decisions. Humans are rarely likely to handover important decision making properties to machines unless it’s an exceptional case, like a self-driving car.
That being said, AI can be used to overrule human decision-makers who may not have covered all their bases while making exceptionally difficult choices on a business. Think about process optimization or even features added to a new mobile. AI can predict the number of users who have the buying power to purchase a phone of the specified caliber and features. The predictive analytics tool can be used to sharpen insights and necessities to introduce key upgrades. If a human decision-maker decides to turn against the tide, AI can be used to prove him/her wrong.
How can AI software help in revolutionizing customer experience?
Any marketer will attest to the age-old mantra: The root of a successful business begins with its customer. Personalization of customer experience is a significant step toward satisfying customers in different sectors - be it hospitality or insurance. Personalization provides customers with a one-to-one connect - something businesses can then turn to for increasing LTV of every customer, thereby increasing brand value.
Personalization is getting better these days, replicating over a variety of mediums, IVR phone calls, or even email marketing campaigns. You’ve probably never even heard of the most advanced AI-invention - Real-Time Speech Analytics (RTSA). This service helps in identifying users based on their emotions as well as their voice characteristics, preparing human agents for the mood of a customer - helping spring companies to action quicker.
Businesses also use the new age phenomenon of customer journey analytics. Better recommendation engines, better quality content, etc., result in a higher correlation of business result improvements.
How can AI Software help in streamlining customer service?
One of the most exceptional contributions of AI to customer service has been the development of self-service modules. A few years back, customers used to wait in queues or holding onto telephone lines for the next available agents. AI chatbots and virtual assistants are now prevalent in most quarters of businesses formulating responses and referring to use case scenarios to assist new customers in their queries and tasks.
24/7 service in business was previously unheard of. Now, with AI intervention, businesses can provide unlimited support for their users, at any time of the day. All users need to do is consult and register queries/issues with the AI interface.
AI-powered medical devices also help read medical images and provide diagnosis, equivalent to their human counterparts. This reduces the time between consultation and treatment, often for critical patients.
What are the features of AI Software?
Some of the most important features of AI software are as follows -
Natural Language Dialogue - AI solutions are capable of capturing, processing, and converting spoken dialects into onscreen text through smooth synthesis programs.
Service Dashboards - Just like most analytics platforms, a service dashboard serves as the data hub of most AI tools. Personnel responsible for analysis can simply use the visualization tools to arrive at decisions that affect business performance.
Automation - Automation of processes is the new buzzword in business town and it is completely possible only due to AI. The removal of manual processes and labor, replaced by machines that work in a routine is a win-win for most businesses.
Predictive Analytics - This feature within AI tools will help businesses estimate trends in the market rarely seen by competition while helping them soothe out processes in anticipation of trends
Visual Recognition - AI solutions will help recognize faces (at least on a metaphysical level). It will also help users scan videos and images using ML to identify products and characteristics of images.
Standard Chatbot design - All chatbots are designed using prevalent AI algorithms to increase user engagement and enhance customer service. This feature ensures chatbots are designed to the highest quality.
Virtual Assistant - SIRI, Alexa, et al. are stellar examples of the power of AI software when attached to the internet. The software solutions scour the internet for functional answers and usually contain NLP units to help complete user-assigned tasks on the device. Smart speakers are growing in popularity too.
What are the advantages of AI software?
Whether solutions offered are free artificial intelligence software or open source artificial intelligence software, the future of business is heading along to a more automated future.
Some advantages of AI solutions are as follows -
- Data-driven decisions that increase bottom-line and identify business strengths/weaknesses
- Predictive analytics to estimate future trends
- Automation of processes
- Enabling smarter marketing and sales funnel
- Enhancing the value of the present product portfolio
- Third-party software Integrations
- Physical recognition
- Workflow design automation
- Fraud detection and higher security integrity
- Increased data analysis accuracy
What is the Average Price of AI Software?
Artificial intelligence software comes priced in a variety of models and offerings.
Open source artificial intelligence software such as Tensor Flow is immensely popular across the business spectrum with their span of offerings. Free artificial software such as IBM’s Watson and Apache Mahout are go-to standard solutions for enterprises.
AI solution provider Engati deploys a freemium pricing model, which offers a starting pack for individual or small user bases, while subsequent versions with higher features are priced at $21 and $55 per month.
There are many ai tools such as Ayasdi and Fixel, who offer a free trial version before businesses can purchase the premium model. The latter’s full version is available at a one-time payment price of $299.
Most, if not all, AI software companies prefer to price their artificial intelligence software based on the needs of the client’s business. This helps them control the extra processing and cloud storage costs for data.
How to Choose the right AI Software for your Business?
Choosing the right software for your business is an arduous task. Some of the most important factors to consider before selecting an ai tool to benefit your organization are as follows -
- Price and Budget - Several AI software will be priced expensively - considering the computing power necessary. It, therefore, becomes important to consider a mix of the vendor, software version, and add-on features to make the right purchase decision.
- Customer support - It’s hard to ignore an AI software solution that’s backed by exceptional customer support. This factor is mandatory, especially when using very complex systems.
- Security - Data protection is important for any app, let alone ai tools. Here, the sheer volume of data - predictive, analytics, and historical - suggest the need for there to be best-in-class protection around the databases and prevent theft or fraud of any nature.
- Trial versions - Users need to get to grips with the power and functionalities of ai design software. Demo versions help compare ai software reviews and experience the setup first hand.
- Feature set - Because of the heavy investment required, it’s important to consider a quantum set of features the AI software must include before purchase.
- Software type - Should the purchase be a free, open source AI software or should it be a slightly expensive, paid version? These are important decisions for you to consider just as you consider the brand you purchase the software from.
Why consider GoodFirms' list of top AI Software?
GoodFirms has assembled a list of the best artificial intelligence software. This list will enlighten prospective purchasers, who can compare the AI tools functionalities and make the correct decision on their purchase.
This Buyer’s Guide represents information such as cost and implementation specifics of AI programs. GoodFirms’ vault of information will help you make the right choice between free and open source, freemium, or premium AI software.
Would you prefer reading about other software too? Then, do take time to go through GoodFirms’ software directory to read about multi-disciplinary software as needed for your business.