KEYNOTE: Do we really need more data?

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Once upon a time working on artificial intelligence or machine learning meant constantly yearning for data and struggling to find cool problems to work on for which there was some. Now data’s aplenty but that old longing for data seems to have left a deep scar. Will more data by itself make the machine intelligent? What if making AI business-ready for you was altogether different than collecting data? What if it had to do with the (business) questions you ask? That sounds like a conversation worth starting.

Introduced by: Kathleen Walch, Managing Partner & Principal Analyst, Cognilytica

Luis Perez-Breva

Luis Perez-Breva, PhD (http://linkedin.com/in/lpbreva) is an innovator, entrepreneur, educator and the author of Innovating: A Doer’s Manifesto (http://amzn.com/0262035359 The MIT Press, 2017). He is an

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