Best Artificial Intelligence (AI) Software & Tools

The world is evolving technologically at a pace that would have been unimaginable several years ago. Terms such as Machine Learning (ML), Augmented Reality (AR), and Natural Language Processing (NLP) define advancements in human-computer interactions and their applications today.

The fields mentioned are part of artificial intelligence (AI), which has been a focal point of innovation in computer science over the past fifty years. Due to advancements in related computing areas, AI development will soon be the measure of a company's or nation’s technological superiority.

Goodfirms created a buyer’s Guide to artificial intelligence software to answer customer queries, highlight its advantages, and provide different business pricing alternatives. The ambition is to ensure users are aware of all possible aspects of their software before purchase.

AI is the reproduction of human behavior in machines to ensure they perform specific tasks and achieve the resulting goals expected of 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 efficiently. AI aims to replicate these behavioral characteristics in machines, which can then process large volumes of data using natural language processing and deep learning to support human output better when working 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 field’s birth year after the landmark Dartmouth Conference. 

 The field as we know it today has evolved from Neural Networks in the 1950s, the application of NLP techniques in the 1960s, the rise of ML in the 1970s and 1980s, and two modern-day implementations of Deep Learning techniques.

Depending on the source you refer to, there may be multiple ways to segment AI. In 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 closely related to human tasks without requiring human intervention. They process a large volume of data to infer situations. For example, they are used in hospitals to assist in performing complex surgery.

Weak AI ensures machines accomplish just one task, using a limited dataset. Examples include chess-playing machines or computer programs.

AI is also classified by the type of functionality it aims to perform. The four types of AI, in this case, are as follows -

• Reactive AI: The simplest kind of AI, these machines react to present situations or conditions akin to human beings’ reactions to stimuli. It cannot use learning to determine how to respond to specific situations because it does not have memory. They are used to respond to a limited set of inputs.
• Limited Memory AI: As the name suggests, these AI systems can store data only from the recent past to determine immediate actions or decisions. One example is self-driving cars.
• Theory of Mind AI: Though this kind of AI is large and mainly conceptual, it is considered the future of the field. Theory of Mind AI will be capable of managing and determining human emotions and interacting with people based on beliefs, values, and structured thought processes. Understanding conditional human development will be vital in determining the true power of this type of AI, which can help it better comprehend human needs and thoughts.
• Self-Aware AI: Considered the final form, Self-Aware AI exists only as a hypothetical scenario. Here, the machine has exceptional intellectual abilities, desires, beliefs, communication capabilities, and complex behavioral characteristics similar to, if not superior to, those of human beings. But the machine is self-conscious. For example, several movies about wood, like the ‘Terminator’ series, put self-aware, programmed machines on the warpath against humans.

AI software and its adjacent fields of computing science are undergoing large-scale enhancements in code, form, and implementation in the near future. 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 an AI performance-enhancing toolkit. The AI software-laden algorithms programmed into these chips will help applications such as photography, visual and virtual assistants, OIC, and AI-based text translation process information faster, thereby increasing human interaction and satisfaction with AI components.
• Robotic Process Automation: Administrative tasks are repetitive. Filling forms, generating RFPs, and producing reports are essential administrative tasks that consume human resources' time. AI solutions will now perform various tasks, reducing the mundane nature of human jobs.
• AI-powered cybersecurity: AI has been at the forefront of increasing transaction visibility, detecting fraud, and monitoring for unauthorized access. It is important to keep these developments going.
• Increased efficiency in Machine Learning: AI can enhance Automated Machine Learning (AML), which can be implemented throughout organizations and institutions to improve business processes. Professionals can use tools such as Google Cloud AutoML to quickly program complex processes and workflows.
• AI and IoT: IoT devices, smart speakers, and intelligent home care devices have become vital parts of people’s lives. AI implementation on these devices enhances the features already afforded to users, such as complex voice analysis and task implementation, ‘Master Readers’ to calculate measurements of certain compounds, etc., all of which can make human lives more productive.

Modern society depends heavily on computing to help accomplish a variety of tasks. Basic AI systems are near-ubiquitous, from setting ideal refrigerator temperatures and storing groceries to widespread use in government defense systems.

Machines such as Roomba have taken the home care industry by storm. The clever implementation of AI has resulted in efficient cleaning tasks. Kismet, a socially intelligent bot manufactured by researchers at MIT, is an AI machine that can converse emotionally with humans.

Powerful AI software is also at our fingertips. Applications such as Siri and Alexa focus on human needs to accomplish tasks on iOS and Amazon devices. The help retrieves instant answers from the internet and can accomplish limited tasks.

One of the most significant advancements in AI has been the implementation (and adoption) of self-driving or autonomous vehicles. For example, Tesla’s models rely on advanced AI features and hardware upgrades to navigate cities and open roads.

Similarly, hospitals worldwide have become accustomed to AI devices taking over essential processes. Some of them include measuring patient dosages during procedures and providing surgical assistance. AI-powered robots have also been used to disinfect hospitals to check the spread of dangerous diseases.

Elsewhere, artificial intelligence software is used in molecular biology and biotechnology to analyze compounds, viruses, and bacteria to forecast better and combat pandemic-like situations.

Marketers have used AI to achieve better brand positioning, awareness, and sales. 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 from digital marketing campaigns and tweak them based on daily analysis without human intervention.

Over-the-top (OTT) platforms like Netflix run recommendation engines and predictive analysis tools that anticipate user behavior and tastes in the entertainment sector. They update their libraries with this information and suggest new shows to the user in every region or language.

With significant contributions to astronomy, customer service, and logistics, AI’s applications are endless in the modern era.

Artificial Intelligence (AI) software consists of algorithms, or even sets of algorithms, that help machines perform a range of tasks by analyzing data patterns and, in some cases, learning from memory. AI solutions help machines mimic human capabilities to a certain degree. The problem-solving capabilities and decision-making processes of machines improve considerably, allowing us to automate specific operations in their hands.

AI tools include functionalities such as machine learning, natural language processing, and speech and voice recognition. Their purpose is to help build applications and devices that help users perform specific functions.

Chatbots, robots, drones, etc., are prime examples that often incorporate some kind of AI software. Artificial intelligence solutions have a variety of applications, and their importance to humanity is set to grow.

AI programs have been identified as path-breaking in many business sectors. As organizations seek to maximize revenue by deploying automation techniques and advanced data analysis methods, artificial intelligence tools have emerged across 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 the workforce and effectively completes multiple routines.

Fraud detection: AI tools can analyze hundreds of thousands of transactions and flag suspicious or fraudulent ones, a capability that is particularly important for banks.

Predictive analytics: For companies that want to estimate total inventory stock every week and plan for analysts determining the flux of a sector’s connectors, predictive analytics helps businesses trim excess costs and anticipate economic conditions.

Control of cash burn: Businesses can better manage cash flow by implementing management techniques informed by AI-driven data analysis.

eCommerce innovation: When customers arrive on an e-commerce portal's landing page, they are shown multiple products or categories based on their recent purchases or browsing history. The recommendation engines are all AI-powered, resulting in greater customer engagement and a more active user base.

Sales estimates: Artificial intelligence companies often market their products as capable of accurately forecasting quarterly sales. This happens through lead scoring, which B2B sales companies frequently use to determine clients' profit time.

Data security: Artificial intelligence solutions help mitigate database access breaches and data manipulation through anomaly analysis.

Customer service: Chatbots run on advanced artificial intelligence and help companies engage customers on their websites.

With technology behemoths chasing Augmented Reality (AR) as the next big thing, it is natural that AI experts believe there’s enough room for an amalgamation of software solutions, 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 perform measurements with AI software, making decisions on actions that can be taken based on the depth.

Military usage: Highlighting bomb tracks and enemy presence. With quantum computing speeds, AI/AR simulations of battle drills 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, producing incredible accuracy and a wide range of characteristics.

Increased visual optimization: Rendering images to complete clarity based on the user’s interest or eye movements.

AI solutions provide crystal-clear insight into business processes and decisions. Humans are rarely likely to hand over 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 override human decision-makers who may not have covered all their bases while making exceptionally difficult choices in 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 identify 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.

Any marketer will attest to the age-old mantra: The root of a successful business begins with its customer. Personalizing the customer experience is a significant step toward satisfying customers in different sectors—hospitality or insurance. Personalization provides customers with a one-to-one connection—something businesses can then leverage to increase the LTV of every customer, thereby increasing brand value.

Personalization is getting better these days, replicating across a variety of mediums, such as IVR phone calls or email marketing campaigns. You’ve probably never even heard of the most advanced AI invention: Real-Time Speech Analytics (RTSA). This service helps identify users based on their emotions and voice characteristics, preparing human agents for a customer’s mood - helping spring companies to action quicker.

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 hold onto telephone lines for the next available agent. 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 with their queries and tasks.

24/7 service in business was previously unheard of. Now, with AI intervention, companies 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 diagnoses equivalent to those of their human counterparts. This reduces the time between consultation and treatment, often for critical patients.

Some of the most critical features of AI software are as follows:

Natural Language Dialogue: AI solutions can capture, process, and convert spoken dialects into onscreen text through smooth synthesis programs.

Service Dashboards: Like most analytics platforms, a service dashboard serves as the data hub of most AI tools. Personnel responsible for analysis can simply use visualization tools to arrive at decisions that affect business performance.

Automation: Process automation is the new buzzword in business town, and it is completely possible only due to AI. Replacing manual processes and labor with routine machines 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 the competition, while assisting them to sort out processes in anticipation of trends

Visual Recognition: AI solutions will help recognize faces (at least on a metaphysical level). They will also help users scan videos and images using ML to identify products and image characteristics.

Standard Chatbot design: All chatbots are designed using prevalent AI algorithms to increase user engagement and enhance customer service. This feature ensures chatbots are intended to be of the highest quality.

Virtual assistants: Siri, Alexa, etc., are stellar examples of the power of AI software when connected 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 also growing in popularity.

Whether solutions offered are free or open-source artificial intelligence software, the future of business is heading toward greater automation. 

Some advantages of AI solutions are as follows - 

• Data-driven decisions that increase the 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

Artificial intelligence software comes in a variety of models and offerings.

Open-source artificial intelligence software such as TensorFlow is highly regarded across the business spectrum for its wide range of capabilities. Free software such as IBM’s Watson and Apache Mahout is a go-to standard solution for enterprises.

AI solution provider Engati deploys a freemium pricing model. The model offers a starting pack for individuals or small user bases, while subsequent versions with higher features are priced at $21 and $55 per month.

Many AI tools, such as Ayasdi and Fixel, offer a free trial version before businesses can purchase the premium model. The latter’s full version is available for a one-time payment 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 additional processing and cloud storage costs associated with data.

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 programs will be priced expensively, considering the computing power necessary. It is therefore 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. The sheer volume of predictive, analytical, and historical data suggests the need for best-in-class protection around the databases to prevent theft or fraud of any nature. 
• Trial versions: Users must familiarize themselves with the power and functionality of AI design software. Demo versions help users compare AI software reviews and experience the setup firsthand. 
• 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 free, open-source AI software or a slightly expensive, paid version? These are important decisions to make, just as you consider the brand from which you purchase the software.  

Goodfirms has assembled a list of the best artificial intelligence software. This list will enlighten prospective purchasers, who can compare the functionalities of AI tools and make the correct decision regarding their purchase.

This Buyer’s Guide includes information such as AI program cost and implementation specifics. Goodfirms’ vault of information will help you choose between free and open-source, freemium, or premium AI software.

Would you prefer reading about other software, too? Then, browse Goodfirms’ software directory to find multidisciplinary software that may be needed for your business.