How Companies Are Putting AI to Work Through Deep Learning

How Companies Are Putting AI to Work Through Deep Learning

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We're at an exciting point with artificial intelligence (AI). Years of research are yielding tangible results, specifically in the area of deep learning. New projects and related technologies are blossoming. Enthusiasm is high.

Yet, the path toward real and practical application of AI and deep learning remains unclear for many organizations. Business and technology leaders are searching for clarity. Where do I start? How can I train my teams to perform this work? How do I avoid the pitfalls?

We conducted this survey to help leaders better understand how organizations are applying AI through deep learning and where they’re encountering the biggest obstacles.

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Ben Lorica

Ben Lorica

Ben Lorica is the Chief Data Scientist and Director of Content Strategy for Data at O'Reilly Media, Inc.. He has applied Business Intelligence, Data Mining, Machine Learning and Statistical Analysis in a variety of settings including Direct Marketing, Consumer and Market Research, Targeted Advertising, Text Mining, and Financial Engineering. His background includes stints with an investment management company, internet startups, and financial services.

Mike Loukides

Mike Loukides

Mike Loukides is an editor for O'Reilly Media, Inc.. He is the author of System Performance Tuning and UNIX for FORTRAN Programmers. Mike's interests are system administration, networking, programming languages, and computer architecture. His academic background includes degrees in electrical engineering (B.S.) and English literature (Ph.D.).