Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
David Talby

David Talby
Chief Technology Officer, 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 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, March 6, 2018
Natural language understanding at scale with spaCy and Spark NLP
Data science and machine learning
 Location: LL20 C
David Talby (Pacific AI), Claudiu Branzan (Accenture), Alex Thomas (John Snow Labs)
Average rating: *****
(5.00, 1 rating)
Natural language processing is a key component in many data science systems. David Talby, Claudiu Branzan, and Alex Thomas lead a hands-on tutorial on scalable NLP, using spaCy for building annotation pipelines, Spark NLP for building distributed natural language machine-learned pipelines, and Spark ML and TensorFlow for using deep learning to build and apply word embeddings. Read more.
11:50am–12:30pm Wednesday, March 7, 2018
Spark NLP in action: Improving patient flow forecasting at Kaiser Permanente
Data science and machine learning
 Location: Expo Hall 1
Secondary topics:  Expo Hall
David Talby (Pacific AI), Santosh Kulkarni (Kaiser Permanente)
Average rating: ***..
(3.50, 2 ratings)
David Talby and Santosh Kulkarni explain how Kaiser Permanente uses the open source NLP library for Apache Spark to tackle one of the most common challenges with applying natural language process in practice: integrating domain-specific NLP as part of a scalable, performant, measurable, and reproducible machine learning pipeline. Read more.
11:50am–12:30pm Thursday, March 8, 2018
Executive Briefing: Why machine-learned models crash and burn in production and what to do about it
Data-driven business management, Strata Business Summit
 Location: 210 A/E
David Talby (Pacific AI)
Average rating: ***..
(3.50, 4 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.