Sep 23–26, 2019
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

1:30pm5:00pm Tuesday, September 24, 2019
Location: 1A 23/24
Secondary topics:  Deep dive into specific tools, platforms, or frameworks, Text and Language processing and analysis
David Talby (Pacific AI), Alex Thomas (Indeed), Saif Addin Ellafi (John Snow Labs)
This is a hands-on tutorial on state-of-the-art NLP using the highly performant, highly scalable open-source Spark NLP library. You'll spend about half your time coding as you work through four sections, each with an end-to-end working codebase that you can change and improve. Read more.
11:20am12:00pm Wednesday, September 25, 2019
Location: 1E 10/11
Secondary topics:  Model Development, Governance, Operations
David Talby (Pacific AI)
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.

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