Humans and the machine: Machine learning in context – Jean-François Puget (IBM Analytics)
Some machine learning proponents claim you only have to provide data to get value. However, reality is a bit more complex. On the way to active analytics for business, we have to answer two big questions: What must happen to data before running machine learning algorithms, and how should machine learning output be used to generate actual business value?
Jean-François Puget demonstrates the vital role of human context in answering those questions. You’ll discover why human context should be embraced as a guide to building better, smarter systems that people will use, trust, and love.
This keynote is sponsored by IBM.
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Some machine learning proponents claim you only have to provide data to get value. However, reality is a bit more complex. On the way to active analytics for business, we have to answer two big questions: What must happen to data before running machine learning algorithms, and how should machine learning output be used to generate actual business value?
Jean-François Puget demonstrates the vital role of human context in answering those questions. You’ll discover why human context should be embraced as a guide to building better, smarter systems that people will use, trust, and love.
This keynote is sponsored by IBM.
Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi
Follow O’Reilly on:
Twitter: http://twitter.com/oreillymedia
Facebook: http://facebook.com/OReilly
Instagram: https://www.instagram.com/oreillymedia
LinkedIn: https://www.linkedin.com/company-beta/8459/