You are now in FULL VIEW

When Models Go Rogue: Hard Earned Lessons on Using Machine Learning in Production
Recorded at:

| by David Talby Follow 0 Followers on Aug 19, 2017 | NOTICE: - Applied AI conference for Developers Apr 9-11, 2018, San Francisco. Join us!

A note to our readers: You asked so we have developed a set of features that allow you to reduce the noise: you can get email and web notifications for topics you are interested in. Learn more about our new features.


David Talby summarizes best practices & lessons learned in ML, based on nearly a decade of experience building & operating ML systems at Fortune 500 companies across several industries.

Sponsored Content


David Talby is Atigeo’s CTO, leading the developments of its big data analytics platform. David has extensive experience in building and operating web-scale analytics and business platforms, as well as building world-class, agile, distributed teams. Previously he was with Microsoft’s Bing group, and earlier he worked at Amazon, where he built and ran distributed teams for financial systems.

Data Science is an emerging field that allows businesses to effectively mine historical data and better understand consumer behavior. This type of scientific data management approach is critical for any business to successfully launch its products and better serve its existing markets.

Login to InfoQ to interact with what matters most to you.

Recover your password...


Follow your favorite topics and editors

Quick overview of most important highlights in the industry and on the site.


More signal, less noise

Build your own feed by choosing topics you want to read about and editors you want to hear from.


Stay up-to-date

Set up your notifications and don't miss out on content that matters to you