March 07 to 09 2016, Santa Clara, USA.


Speaker "David Talby" Details

Name :
david talby
Company :
Title :
Chief Technology Officer
Topic :

Lessons learned productizing data science: Software Development vs. Model Development Best Practices

Abstract :

Planning, staffing, testing, launching, monitoring & scaling large-scale predictive models, recommenders & rankers poses fundamentally different challenges than managing traditional apps, API's and services. This talk covers the key risk points and field-proven best practices, that every engineering manager venturing into data science should plan for.

Profile :

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.


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