Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
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

1:30pm–5:00pm Tuesday, 09/11/2018
Location: 1A 21/22 Level: Intermediate
Secondary topics:  Text and Language processing and analysis
David Talby (Pacific AI), Claudiu Branzan (Accenture AI), Alex Thomas (Indeed)
Average rating: ***..
(3.00, 7 ratings)
David Talby, Claudiu Branzan, and Alex Thomas lead a hands-on tutorial for scalable 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.
2:05pm–2:45pm Wednesday, 09/12/2018
Location: 1E 14 Level: Intermediate
Secondary topics:  Machine Learning in the enterprise, Model lifecycle management
David Talby (Pacific AI)
Average rating: ****.
(4.40, 5 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.
1:10pm–1:50pm Thursday, 09/13/2018
Location: 1A 06/07 Level: Intermediate
Secondary topics:  Health and Medicine, Text and Language processing and analysis
David Talby (Pacific AI), Alberto Andreotti (John Snow Labs), Stacy Ashworth (SelectData), Tawny Nichols (Select Data)
Average rating: ***..
(3.00, 4 ratings)
David Talby, Alberto Andreotti, Stacy Ashworth, and Tawny Nichols outline a question-answering system for accurately extracting facts from free-text patient records and share best practices for training domain-specific deep learning NLP models. The solution is based on Spark NLP, an extension of Spark ML that provides state-of-the-art performance and accuracy for natural language understanding. Read more.