Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
David Talby

David Talby
CTO, Pacific AI

Website | @davidtalby

David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, Agile, distributed teams. Previously, he was with Microsoft’s Bing Group, where he led business operations for Bing Shopping in the US and Europe, and worked at Amazon both in Seattle and the UK, where he built and ran distributed teams that helped scale Amazon’s financial systems. David holds a PhD in computer science and master’s degrees in both computer science and business administration.

Sessions

11:1511:55 Thursday, 25 May 2017
Data science and advanced analytics
Location: Hall S21/23 (B)
Level: Intermediate
David Talby (Pacific AI)
Average rating: ***..
(3.57, 7 ratings)
Machine learning and data science systems often fail in production in unexpected ways. David Talby shares real-world case studies showing why this happens and explains what you can do about it, covering best practices and lessons learned from a decade of experience building and operating such systems at Fortune 500 companies across several industries. Read more.
14:0514:45 Thursday, 25 May 2017
Location: Capital Hall (N24) - O'Reilly booth - Table A
David Talby (Pacific AI)
Tell David about your projects. He can answer any questions you have on how to build large-scale data science platforms and machine learning and natural language understanding pipelines—and how to successfully deploy and operate them in production. Read more.