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Top AI Industries

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Updated:  
2018-06-11 17:32:54
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Generative AI For Dummies
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Not all industries are using artificial intelligence (AI). Some industries have a wait-and-see attitude when it comes to AI because AI still hasn’t completely proven its worth, and the owners of these industries remember the AI winters of the past. In addition, AI research focuses on specific industries because of how AI actually works. AI requires lots of data as input, relies on algorithms to process that data, and then provides an output that, with luck, matches the requirements. Some industries can’t even meet these basic requirements, and far more exist to make an AI completely usable. Here are the top AI industries by investment in AI research and use:
Investment Area Application Types Percentage
Computer-related industries Hardware, software, and IT 33.33
Communications Telecommunications, Internet, and online media 14.30
Business services Marketing, advertising, management consulting, financial services, and banking 8.48
Industrial goods Automotive, electrical manufacturing, electronic manufacturing, and semiconductors 5.72
Consumer goods Retail, consumer electronics, and entertainment 5.21
Research Online searches 3.37
Health care Hospital, health management, health insurance 2.86
Government Administration 2.04
Resource management Oil and energy 1.33

About This Article

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About the book author:

John Paul Mueller is a freelance author and technical editor. He has writing in his blood, having produced 100 books and more than 600 articles to date. The topics range from networking to home security and from database management to heads-down programming. John has provided technical services to both Data Based Advisor and Coast Compute magazines.

Luca Massaron is a data scientist specialized in organizing and interpreting big data and transforming it into smart data by means of the simplest and most effective data mining and machine learning techniques. Because of his job as a quantitative marketing consultant and marketing researcher, he has been involved in quantitative data since 2000 with different clients and in various industries, and is one of the top 10 Kaggle data scientists.