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AI today and tomorrow: Why enterprise data science is hard

AI today and tomorrow: Why enterprise data science is hard

Released Friday, 27th March 2020
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AI today and tomorrow: Why enterprise data science is hard

AI today and tomorrow: Why enterprise data science is hard

AI today and tomorrow: Why enterprise data science is hard

AI today and tomorrow: Why enterprise data science is hard

Friday, 27th March 2020
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In part one of a series on how to do enterprise AI right, host Travis Nixon chats with Charles Morris, author of The Data Science Lifecycle Process, on companies’ perceptions of their own AI journeys relative to their competitors, how messy and resource-intensive almost all use cases are, and why companies should start now. 
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