What is Artificial Intelligence Software?

Artificial intelligence (AI) is being increasingly used in business software to create smart applications. These platforms incorporate deep learning and machine algorithms in their functionality to automate business tasks. Companies can save energy and time by automating their processes and enable their employees to work more productively and efficiently. Many people think that AI will eventually replace their jobs. The truth is AI will only make their work easier. You need to constantly upgrade your skills to stay competitive in the marketplace and learning about the application of AI software in business will surely help your cause. Start by checking our leader Cloud Machine Learning Engine, and other recommended solutions in this category.

Artificial Intelligence Software

Top 10 Most Popular Artificial Intelligence Software

Cloud Machine Learning Engine reviews
Cloud Machine Learning Engine

Our Score 9.6

User Satisfaction 90%

A cloud-based predictive analytics modelling platform for data of all sizes. Read Reviews

Azure Machine Learning Studio reviews
Azure Machine Learning Studio

Our Score 9.5

User Satisfaction 97%

An interactive programming tool for predictive analytics from Microsoft. Read Reviews

Salesforce Einstein reviews
Salesforce Einstein

Our Score 9.4

User Satisfaction 98%

An AI application for sales data processing. Read Reviews

IBM Watson reviews
IBM Watson

Our Score 9.3

User Satisfaction 99%

Enterprise AI platform that provides businesses with the power they need to accelerate research and discovery, predict disruptions and enrich interactions Read Reviews

Apache PredictionIO reviews
Apache PredictionIO

Our Score 9.2

User Satisfaction 100%

An open source machine learning server designed by The Apache Software Foundation. Read Reviews

Nvidia Deep Learning AI reviews
Nvidia Deep Learning AI

Our Score 9.2

User Satisfaction 99%

A suite of products dedicated to deep learning and machine intelligence. Read Reviews

TensorFlow reviews

Our Score 9.0

User Satisfaction 99%

A symbolic math library for machine learning operations. Read Reviews

IBM SPSS reviews

Our Score 9.0

User Satisfaction 80%

A software suite that utilizes predictive intelligence to provide users with accurate and actionable data for supreme business results. Read Reviews

OpenCV reviews

Our Score 8.9

User Satisfaction 97%

A free-to-use open source computer vision and machine learning software library. Read Reviews

scikit-learn reviews

Our Score 8.9

User Satisfaction 100%

A free-to-use machine learning module for Python built on SciPy. Read Reviews

How To Choose The Best Artificial Intelligence Software

Artificial Intelligence software can be used by companies to automate their tasks and enable their employees to work more productively. There are scores of applications in the market in this category. So, how do you do informed comparisons to select the best artificial intelligence software solutions for your specific business needs? Read on to learn useful tips on the factors and features you should search for in the different applications.

Get to know each product with free trial

Start your quest for the best artificial intelligence software platform by registering for the free trials of leading apps. This will help you to understand their key features at no cost and gauge whether the tool offers what you need. Visit the websites of the following popular AI solutions to check the possibility of registering for a free trial: TensorFlow, PlaymentAzure Machine Learning Studio and Salesforce Einstein.

Targeted Businesses

AI software can be profitably utilized by companies in a wide range of sectors including stock trading, scientific discovery, law, computer games, robot control, medical diagnosis, education, and others.

Examples of Artificial Intelligence Software

  1. TensorFlow: An open-source library for Machine Intelligence. It can be utilized for numerical computation using data flow graphs. The flexible architecture enables you to deploy computation to one or more GPUs or CPUs in a server, desktop, or mobile device with a single API. The system is general and can be applied to a wide range of domains.
  2. PlaymentA fully-managed platform providing training data for machine learning, computer vision, and human-in-the-loop for AI at scale. Ask the vendor for a demo to learn about the features they offer. The company helps businesses collect/tag/clean data using a blend of artificial intelligence and human (crowdsourced) intelligence. Their technology platform breaks down large problems into microtasks and distributes them among their large community of human-in-the-loop workers through a gamified mobile app.
  3. Azure Machine Learning Studio: A GUI-based integrated development environment for creating and operationalizing Machine Learning workflow on Azure. It offers a browser-based, visual drag-and-drop authoring environment that does not need coding. You can go from idea to deployment in just a few clicks. In short, Studio is a fully-managed cloud service that helps you to easily create, deploy, and share predictive analytics tools.
  4. Salesforce Einstein: Learns from your company’s collected data to offer recommendations and predictions based on your specific business processes. Combine that with automation and you get actionable insights to connect with your customers. With embedded AI, you get a data scientist working for you. Your CRM will become smarter making your efforts more productive and resulting in happier customers.

Types of Artificial Intelligence software

There are 2 main types of AI software: pure and applied.

  • Pure AI software is the algorithm itself. You can decide the data sets for application and how to train the tool.
  • Applied AI software utilizes artificial intelligence to automate tasks and perform new tasks. This has now become profitable because of the availability of affordable and more robust AI.

Key Features of Artificial Intelligence software

  • Data ingestion. AI solutions deal with high volumes of records coming in at great velocity.
  • Adaptive. AI platforms use machine learning to adapt to their environment. They learn from their results to improve their performance.
  • Reactive. AI tools react to the changing situations around them. They continuously track their inputs and invoke rules, procedures, and behaviors to compute scores and make smart decisions.
  • Forward-Looking. AI solutions don’t just react they also search through possible scenarios to find an effective goal.
  • Concurrent. AI platforms have the ability to handle multiple systems or people interacting simultaneously.

Benefits of Artificial Intelligence Software

  1. Minimizes errors. AI software helps to reduce errors and reach a high degree of accuracy and precision in your tasks.
  2. Exploration work. AI tools can be used for difficult exploration jobs such as mining, ocean floor work, and others. There are human limitations in this type of work which can be overcome with AI tools which also do not wear out quickly.  
  3. Daily application. We use AI in our daily life in smartphones, GPS devices while driving, and virtual assistants like Cortana and Siri. Banks and financial institutions use AI to organize and manage their data, and to detect fraud.
  4. Digital assistants. Advanced companies utilize avatars that are digital assistants that can interact with users. This saves the cost of deploying human resources.
  5. Repetitive jobs. You can automate routine and monotonous tasks with machine intelligence. Machines with AI can also be used for multi-tasking and hazardous work.

Latest Trends

Speech recognition. The latest AI tools can transform and transcribe human speech into a useful format for computer platforms. This technology is finding use in mobile apps and interactive voice response (IVR) systems. Leading vendors in this field are Verint Systems, OpenText, and Nuance Communications.

Virtual agents. These include basic chabots as well as sophisticated platforms that can interact with humans. They are used in customer support operations and as an intelligent home manager. Leading vendors in this category are Apple, Amazon, and Google.

Potential Issues

Prohibitive cost. AI systems are complex and expensive. You need to invest a high amount in their maintenance and repair. Plus, they need to be constantly upgraded to meet changing environments. In case of breakdown, you need to recover lost codes to reinstall the system which will cost you time and money.

Not a substitute for humans. Machines do not have moral values or emotions. They only perform the tasks they are programmed for and cannot judge what is right or wrong. If they encounter unfamiliar situations they perform inaccurately or simply break down.

List of Artificial Intelligence Software Companies

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Our Score Read More

FinancesOnline employs our certified SmartScore™ method to examine all the products in the Artificial Intelligence Software category in orded to help you choose the best possible software. It evaluates the following metrics: cruscial functionalities, collaboration capabilities, customization, available integrations, intuitiveness, customer support, how secure a software is, support for mobile devices, media rating. At the moment, Cloud Machine Learning Engine is the leader in this category and is recommended by our experts. After detailed testing it received the best results among its competitors and we strongly suggest that you consider it as one of the solutions for your business.

User Satisfaction Read More

A look at overall user satisfaction with the services in our Artificial Intelligence Software category evaluated with our unique algorythm that gathers user reviews, comments and opinions across a wide set of social media platforms in order to help you make an educated buying decision.











Pricing Read More

Every vendor in the Artificial Intelligence Software category will offer a different group of pricing plans for its service and every plan will include a different set of tools. Below we list the general pricing for the cheapest package offered for each product. Please note that advanced features may cost extra.



By quote



By quote





Devices Supported Read More

An overview of what type of devices and operating systems are supported by all B2B tools in the Artificial Intelligence Software category, including mobile platforms and web-based solutions.






Laguages Supported Read More

Check what languages and geographies are served by the best B2B services in the Artificial Intelligence Software category, including services aimed at international markets and created for multi-cultural teams of employees.

Pricing Model Read More

Find out what pricing models are offered by the vendors in the Artificial Intelligence Software category to check which one matches your business requirements and budget best. Be aware that some apps can provide free or freemium accounts for you to test first.


Monthly payment

One-time payment

Annual Subscription


Customer Types Read More

An overview of what groups of clients a given B2B software in the Artificial Intelligence Software category aims for, from small businesses and non-profits to big enterprises.

Small Business

Large Enterprises

Medium Business


Deployment Read More

A summary of what styles of software deployement are provided by every B2B vendor in the Artificial Intelligence Software category. Even though most of modern SaaS solutions are cloud-based certain services may offer an on-site deployment model too.

Cloud Hosted

On Premise

Open API