Sep 23–26, 2019

David Talby
Chief Technology Officer, Pacific AI

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 led business operations for Bing Shopping in the US and Europe with Microsoft’s Bing Group and built and ran distributed teams that helped scale Amazon’s financial systems with Amazon in both Seattle and the UK. David holds a PhD in computer science and master’s degrees in both computer science and business administration.

Sessions

1:30pm–5:00pm Tuesday, September 24, 2019

Location: 1A 23/24

Natural language understanding at scale with Spark NLP

Data Science, Machine Learning, & AI

Secondary topics: Deep dive into specific tools, platforms, or frameworks, Text and Language processing and analysis

David Talby (Pacific AI), Alex Thomas (John Snow Labs), Saif Addin Ellafi (John Snow Labs), Claudiu Branzan (Accenture)

David Talby, Alex Thomas, Saif Addin Ellafi, and Claudiu Branzan walk you through state-of-the-art natural language processing (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.

11:20am–12:00pm Wednesday, September 25, 2019

Location: 1E 10/11

Executive Briefing: Why machine-learned models crash and burn in production and what to do about it

Strata Business Summit

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 outlines 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.