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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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, Playment, Azure Machine Learning Studio and Salesforce Einstein.
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.
There are 2 main types of AI software: pure and applied.
AI software helps to reduce errors and reach a high degree of accuracy and precision in your tasks.
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.
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.
Advanced companies utilize avatars that are digital assistants that can interact with users. This saves the cost of deploying human resources.
You can automate routine and monotonous tasks with machine intelligence. Machines with AI can also be used for multi-tasking and hazardous work.
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.
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.
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:
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 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.
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.
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.
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.
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 Studio. This 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.
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 Studio. This 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.
TensorFlow. This 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.
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