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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.Show more 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.Show less

How was this ranking made?

In order to prepare this list of best Artificial Intelligence Software we have evaluated 276 trending solutions currently available on the market, studying their features, ease of implementation, client service, offered integrations and mobile device support using our patented SmartScoreTM rating system. This ranking has been developed by Nestor Gilbert, our software authority dedicated to the Artificial Intelligence Software category.

List of Top 12 Artificial Intelligence Software

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1. Cloud Machine Learning Engine

Our score: 9.6 User satisfaction: 90%

A cloud-based predictive analytics modeling platform for data of all sizes. Its deep learning capabilities enables it to run any type of TensorFlow model and design machine learning models. Cloud Machine Learning Engine is also integrated with Google Dataflow, thus allowing access to Google BigQuery and Google Storage.

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2. Azure Machine Learning Studio

Our score: 9.5 User satisfaction: 97%

A cloud-based interactive programming tool for predictive analytics from Microsoft. Azure Machine Learning Studio offers access to Cortana Intelligence Suite and gallery, AI algorithm library, and more. Its easy to use interface utilizes drag and drop actions. Despite being cloud-based, this machine learning solution provides offline access to its users.

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3. Salesforce Einstein

Our score: 9.4 User satisfaction:

An AI application designed exclusively for the purpose of sales data processing. Salesforce Einstein gives sales representatives access to data science tools that can help improve how they handle customers. Using myEinstein platform, users can also create and publish intuitive and predictive apps unique to their business needs.

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4. 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. IBM Watson enables business from various industries to conduct fast, intense research to unlock innovations by utilizing advanced AI and machine learning technology.

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5. Apache PredictionIO

Our score: 9.2 User satisfaction: 100%

An open source machine learning server designed by The Apache Software Foundation. Apache PredictionIO provides users access to Spark MLLib, OpenNLP, and machine learning libraries. It is also a flexible machine learning platform that supports both web and mobile integrations and deployment with Apache Spark, MLlib, HBase, Spray, and Elasticsearch.

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6. Nvidia Deep Learning AI

Our score: 9.2 User satisfaction: 99%

This AI platform is equipped with visual identification and threat protection, and other powerful tools helpful to government agencies, security, and medical institutions. It also offers a suite of products, such as NGC Deep Learning Stack, Deep Learning training and frameworks, and workload management.

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7. TensorFlow

Our score: 9.0 User satisfaction: 99%

A symbolic math library for machine learning operations created and powered by Google. TensorFlow is an open-source platform with powerful AI technology used in image and voice recognition and language translations. This application can run on Android and iOS devices as well as computers that have no dedicated graphic processors.

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8. IBM SPSS

Our score: 9.0 User satisfaction: 80%

IBM SPSS is a software suite that utilizes predictive intelligence to provide users with accurate and actionable data for supreme business results. It is a flexible and user-friendly platform that lets people with varying skill levels employ the power of predictive analytics to projects of assorted sizes and diverse levels of complexity.

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9. OpenCV

Our score: 8.9 User satisfaction: 99%

A free open source platform that offers computer vision and machine learning software library. This AI software provides users access to 2,500 classic and sophisticated algorithms that can be utilized to design advanced programs, such as facial and object recognition.

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10. scikit-learn

Our score: 8.9 User satisfaction: 100%

A free-to-use machine learning module for Python built on SciPy. This AI platform is capable of creating neuroimages, predicting consumer behavior, detecting abusive actions in the web, and more. It is also released with a BSD license which means individuals and businesses can utilize scikit-learn for personal and commercial purposes.

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11. Trint

Our score: 8.7 User satisfaction: 100%

An efficient, innovative, and automated transciption software that reinvents how broadcasters, video editors, podcaters, and other professionals from various industries and domains transcribe contents from audio and video recordings, edit transcripts, and collaborate on their projects.

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12. Infrrd OCR

Our score: 8.0 User satisfaction:

Infrrd OCR is a mobile app that extracts expense type, merchant name, date of transaction, amount and currency out of the box.

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Artificial Intelligence Software Guide

Table of contents

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 tools 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

Artificial Intelligence tools 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: Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop software designed to help developers and data scientists create, test, and implement predictive analytics solutions for data in minutes. The platform offers best-in-class algorithms and a visual authoring environment that enable users to go from idea to deployment without the need for any coding expertise.
  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.

  1. Pure AI software is the algorithm itself. You can decide the data sets for application and how to train the tool.
  2. 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

  1. Data ingestion. AI solutions deal with high volumes of records coming in at great velocity.
  2. Adaptive. AI platforms use machine learning to adapt to their environment. They learn from their results to improve their performance.
  3. 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.
  4. Forward-Looking. AI solutions don’t just react they also search through possible scenarios to find an effective goal.
  5. Concurrent. AI platforms have the ability to handle multiple systems or people interacting simultaneously.

Benefits of Artificial Intelligence Software

Minimizes errors 

AI software helps to reduce errors and reach a high degree of accuracy and precision in your tasks.

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.  

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.

Digital assistants 

Advanced companies utilize avatars that are digital assistants that can interact with users. This saves the cost of deploying human resources.

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.

Works nonstop

Unlike humans, AI systems can work 24/7. This level of availability also means that AI software are capable of delivering results regardless of time. For businesses that rely on data gathering, incorporating AI-assisted technology into their system means no critical data will be missed.

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 chatbots 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.

Improved predictive text: Incorporating AI technology into this existing technology can further improve its predictions by making them more context-based than simply following known sentence patterns.

Quantum computing: Arguably, one of the promising trends many are looking forward to is how quantum computing and artificial intelligence can significantly speed up generating and processing big data. But while this can dramatically enhance efficiency, there are also concerns about how quantum computing can affect data privacy.

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.

AI Technology Is Reshaping the Business Industry

Artificial intelligence has existed for some time but it took decades for it to become a staple in the software industry. Now that nearly every software solution has either adopted or gearing toward adopting AI, we will be able to see more of the following latest developments that are currently revolutionizing the business industry:

  • Automation is now better than ever. With the help of machine learning technology, AI-assisted automation tools are improving company efficiency and productivity.
  • Machine learning is giving software solutions a more human-like approach when it comes to gathering, processing, analyzing data, and converting them into valuable insights.
  • Content personalization is no longer too reliant on data segmentation. Machine learning tools and bots are now capable of delivering a more personalized experience to users based on their online behavior.

AI Industry and Market Predictions

The growth of artificial intelligence technology has reached a major turning point where AI is now generally accepted as useful instead of questionable. While skepticism will always be present, they are not major roadblocks in the growth of AI and here are some of today’s noteworthy predictions:

  • The use of digital workers or software robots will increase by more than 50% by 2022.
  • Artificial intelligence of Internet of Things (AIoT) will play a key role in AI adoption in enterprise, industrial, and government.
  • Natural language processing algorithms will drift further away from delivering robotic responses to more human-like conversations in real-time.
  • Machine learning will take over the decision-making processes in workflow automation to eliminate bottlenecks.
  • AI technology will be used in enhancing cybersecurity surrounding a cashless society
  • New developments in healthcare will include improving the diagnostic process by developing AI-assisted tools and programs.
  • By 2025, the AI in the manufacturing market is expected to reach $20.2B globally.
  •  The value of AI market in North America will reach $55.4B by 2025.
  • The context-aware processing market is predicted to reach $7.15B globally.
  • In North America, artificial intelligence embedded in Internet of Things (IoT) devices will exceed $105B by 2025.

List of Artificial Intelligence Software Companies

Order by:

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  • Newest
  • Score
  • User Score
Product name:
Category:
Smart Score:
Price:
User Satisf.
User reviews:
Workativ Assistant reviews

Workativ Assistant

Artificial Intelligence Software
8.0
$249
100%
Neural Designer reviews

Neural Designer

Artificial Intelligence Software
8.0
$3.154
100%
Frontman reviews

Frontman

Artificial Intelligence Software
8.1
$25
100%
Skan reviews

Skan

Artificial Intelligence Software
8.2
By quote
90%
Jiffy.ai reviews

Jiffy.ai

Artificial Intelligence Software
8.0
By quote
99%
maya.ai reviews

maya.ai

Artificial Intelligence Software
8.0
by quote
95%
Windsor.ai reviews

Windsor.ai

Artificial Intelligence Software
8.0
$99
96%
Day One Artificial Intelligence reviews

Day One Artificial Intelligence

Artificial Intelligence Software
8.0
By quote
92%
IntelliTicks reviews

IntelliTicks

Artificial Intelligence Software
8.0
$0
97%
JiffyRPA reviews

JiffyRPA

Artificial Intelligence Software
8.0
By quote
99%
PlaybookUX reviews

PlaybookUX

Artificial Intelligence Software
8.0
$250
93%
ONE.AI reviews

ONE.AI

Artificial Intelligence Software
6.3
$15
-
Botmind reviews

Botmind

Artificial Intelligence Software
8.0
By quote
100%
Braina reviews

Braina

Artificial Intelligence Software
8.1
$49
95%
AppZen reviews

AppZen

Artificial Intelligence Software
8.3
By quote
100%

Things to consider when you invest in a SaaS

The first and most important thing is to make sure the system is perfect for your company’s needs. Do not worry about the delivery method and pricing model and concentrate on getting the right program. Second, you should invest some time to do proper research on the background of the provider and the tool of the product. Otherwise, you may end up paying a high price if the system proves to be a bad fit.

Another important point is you should always read the contract and understand the terms and conditions. SaaS contracts are known for clever phrasing, so be sure you know what you are getting into. Do not get chumped into an evergreen contract. Be sure about the renewal terms as well as the notice time needed to cancel the renewal.

You will be surprised to learn the gains you can earn by negotiating intelligently. SaaS software is a competitive market and providers will be willing to give you a discount to earn your business and continue it. Make use of this opportunity to save some money.
Realize that the teaser rate is presented only for a short period. Learn about the total cost you need to shell out after the initial discount ends. Also, compute the long-term price to know what you are getting into.

Frequently asked questions about Artificial Intelligence Software

What is the best artificial intelligence software?

The best artificial intelligence software is Cloud Machine Learning Engine. Its robust predictive analytics platform allows developers to utilize the framework in designing a scalable model. Additionally, all models created in the platform can be published through Google’s global prediction platform for other users.

Cloud Machine Learning Engine also uses the TensorFlow framework, which is the same framework behind Google Photos and Google Cloud Speech. When it comes to integrations, this AI software solution integrates with Google Dataflow.

Training models is automated using HyperTune, which allows users to see faster results using innovative optimization approaches. Cloud Machine Learning Engine also provides users with a cloud-based interface that is easy to navigate.

What are the benefits of artificial intelligence software?

Artificial intelligence software offers a variety of benefits to both users and businesses and here are some of them:

Reduces errors. AI software is built with precision and accuracy in mind and these characteristics help to minimize errors in your tasks.

Overcoming human limitations. AI tools can be used to do activities that can otherwise risk a human’s health or endanger a human’s life. Among these activities include scientific explorations in dangerous locations.

Instantaneous convenience. AI technology is embedded in most of the devices you use in your daily life, especially your mobile phone and computer and other smart devices that make your daily activities easier.

Process automation. Manual and repetitive tasks can be automated to enhance efficiency.

What are the features of artificial intelligence software?

Artificial intelligence software has a varying range of capabilities but below are some of the standard features of AI software solutions:

Data ingestion: AI solutions must possess the capability to gather, process, and analyze data in large volumes.

Highly adaptive. With the aid of machine learning technology, artificial intelligence software become more adaptive to their environment.

Reactive. Unlike human beings, artificial intelligence software’s actions are not influenced by past occurrences. AI solutions are capable of responding to changes occurring around them as they happen.

Forward-looking. AI solutions lean toward resolution-oriented actions.

Multitasking. A good AI platform must have the ability to handle multiple systems, activities, and/or people interacting simultaneously.

What is the easiest artificial intelligence software to use?

Artificial intelligence is a complex technology; there, however, are software solutions that are more user-friendly. Below are some of the easy to use artificial intelligence software:

Azure Machine Learning StudioThis AI platform by Microsoft utilizes drag-and-drop function to create and design datasets and analysis modules.

Salesforce Einstein. This AI software is designed to assist sales teams by processing sales data and providing sales representatives with valuable recommendations and insights. It also comes with a user-friendly app builder that developers can use to create tools designed specifically to address business needs.

OpenCV. This user-friendly open-source AI software caters to businesses of any size from large enterprises and small startups. Its ease of use, however, doe snot solely rely on its interface but also on its community support system where you can find professional developers ready to assist you with your concerns.

What is a good free artificial intelligence software?

Artificial intelligence software solutions can be pricey but offer value for money. There, however, are AI solutions that you can use without paying a dollar:

Azure Machine Learning StudioThis artificial intelligence software’s free plan offers a maximum of 100 modules and a one-hour time limit per experiment. Also included are a 10GB worth of storage and single-node execution capability.

TensorFlowThis robust machine learning platform is completely free. Among the features you can use are Jupyter Notebooks, TensorBord, facets, debuggers, servicing system, transfer learning, third-party packages, and APIs.

OpenCV. OpenCV is also a completely free artificial intelligence software that gives users access to multiple interfaces, programming functions library, and community forums.

Nestor Gilbert

By Nestor Gilbert

Senior writer for FinancesOnline. If he is not writing about the booming SaaS and B2B industry, with special focus on developments in CRM and business intelligence software spaces, he is editing manuscripts for aspiring and veteran authors. He has compiled years of experience editing book titles and writing for popular marketing and technical publications.

Updated

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