Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
JEAN FRANCOIS PUGET

JEAN FRANCOIS PUGET
Technical Lead, IBM Machine Learning and Optimization Offerings, IBM Analytics

Jean-François Puget is the technical lead for IBM machine learning and optimization offerings. Jean-François has spent his entire career turning scientific ideas into innovative software. He joined IBM as part of the ILOG acquisition and since then has held various technical executive positions, including CTO for IBM Analytics Solutions. Jean-François has published over 80 scientific papers in refereed journals and top AI conferences. He holds a PhD in machine learning from Paris IX University.

Sessions

9:35–9:45 Wednesday, 23 May 2018
Humans and the machine: Machine learning in context (sponsored by IBM)
Sponsored keynote
 Location: Auditorium
JEAN FRANCOIS PUGET (IBM Analytics)
Average rating: ***..
(3.50, 16 ratings)
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. Read more.