AI technologies
Forward-looking enterprises have to be aware of emerging artificial intelligence technologies. Get the latest on AI technologies such as NLP, bots, machine learning, deep learning and open source AI tools.
New & Notable
AI technologies News
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January 21, 2022
21
Jan'22
IBM offloads Watson Health business data, analytics
IBM Watson Health assets acquired by Francisco Partners include extensive data sets and software, marking an end to IBM's efforts in the healthcare tech space.
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January 20, 2022
20
Jan'22
New U.S. Chamber of Commerce commission to promote AI
The bipartisan commission includes experts with a variety of technology backgrounds and is led by two former congressmen. A report by the commission is expected later this year.
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January 20, 2022
20
Jan'22
ServiceNow throws AI at digital transformation ROI problem
Companies report they aren't getting their money's worth out of digital transformation projects. ServiceNow's new AI-based software looks to up the value of such projects.
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January 19, 2022
19
Jan'22
Nvidia releases updates to AI enterprise suite
The AI suite includes a full integration with Tanzu, giving enterprises the flexibility to run workloads on containers and VMs. The vendor also introduced two new servers.
AI technologies Get Started
Bring yourself up to speed with our introductory content
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What is artificial intelligence (AI)?
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Continue Reading
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Tips and tricks for deploying TinyML
A typical TinyML deployment has many software and hardware requirements, and there are best practices that developers should be aware of to help simplify this complicated process. Continue Reading
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robo-advisor
A robo-advisor is an artificial intelligence (AI) driven virtual financial advisor. Continue Reading
Evaluate AI technologies Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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How cloud RPA is key to automation's future
Companies have traditionally used robotic process automation (RPA) as on-premises software but are now embracing cloud RPA as its business benefits are outweighing the drawbacks. Continue Reading
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Why TinyML use cases are taking off
TinyML technology can successfully collect and analyze data in real scenarios, as demonstrated in various use cases. Continue Reading
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How warehouse automation robotics transformed the supply chain
To maximize efficiency in warehouses and ameliorate supply chain issues, companies are turning to automation technology, leading them to embrace warehouse automation robotics. Continue Reading
Manage AI technologies
Learn to apply best practices and optimize your operations.
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TinyML at the very edge of IoT shows signs of promise
TinyML can enable machine learning on small devices that exist within IoT systems and experts are currently debating the breadth of its practical real-world uses. Continue Reading
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Capitalizing on the many artificial neural network uses
Neural networks have many use cases. Businesses interested in using AI should consider both the challenges and potential gains of deploying neural nets. Continue Reading
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AI carbon footprint: Helping and hurting the environment
Companies can use AI to help the environment, including by using it to prevent forest fires and reduce factory waste. At the same time, AI has its own carbon footprint. Continue Reading
Problem Solve AI technologies Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Expanding explainable AI examples key for the industry
Improving AI explainability and interpretability are keys to building consumer trust and furthering the technology's success. Continue Reading
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Solving the AI black box problem through transparency
Ethical AI black box problems complicate user trust in the decision-making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading
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5 reasons NLP for chatbots improves performance
Experts say chatbots need some level of natural language processing capability in order to become truly conversational. Without language capabilities, bots are simple order takers. Continue Reading