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  2. Artificial intelligence in industry - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...

  3. 4 Pros & 4 Cons to AI Automation for Businesses - AOL

    www.aol.com/4-pros-4-cons-ai-115700169.html

    AI systems often need access to sensitive business and customer data to function; however, using third-party, cloud-based automation platforms can potentially expose this data to privacy breaches.

  4. The Top 4 AI Techniques to Know in 2024 - AOL

    www.aol.com/lifestyle/top-4-ai-techniques-know...

    Explore machine learning, computer vision, NLP, and robotics. Learn how AI is transforming industries and solving real-world problems.

  5. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  6. In 2024, artificial intelligence was all about putting AI ...

    www.aol.com/2024-artificial-intelligence-putting...

    There was a “shift from putting out models to actually building products,” said Arvind Narayanan, a Princeton University computer science professor and co-author of the new book “AI Snake ...

  7. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics statistical techniques include data modeling, machine learning, AI, deep learning algorithms and data mining. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future.

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