Sep 9–12, 2019
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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.


3:40pm3:50pm Tuesday, September 10, 2019
Location: 230 A
David Talby (Pacific AI)
Companies that deploy and operate ML and AI models in production, scale to teams and workflows, and need a reproducible and collaborative experimentation environment must often invest substantial effort in assembling their internal AI platforms. David Talby demonstrates a turnkey, complete, scalable, and highly secure AI platform that delivers this functionality to Fortune 500 companies today. Read more.
4:00pm4:40pm Wednesday, September 11, 2019
Location: LL21 A/B
Secondary topics:  Text, Language, and Speech
David Talby (Pacific AI)
Average rating: ***..
(3.33, 6 ratings)
New AI solutions in question answering, chatbots, structured data extraction, text generation, and inference all require deep understanding of the nuances of human language. David Talby outlines challenges, risks, and best practices for building NLU-based systems, drawing on examples and case studies from products and services built by Fortune 500 companies and startups over the past seven years. Read more.
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

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