Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Edd Wilder-James

Edd Wilder-James
Open Source Strategist, TensorFlow, Google

Website | @edd

Edd Wilder-James is a strategist at Google, where he is helping build a strong and vital open source community around TensorFlow. A technology analyst, writer, and entrepreneur based in California, Edd previously helped transform businesses with data as vice president of strategy for Silicon Valley Data Science. Formerly Edd Dumbill, Edd was the founding program chair for the O’Reilly Strata conferences and chaired the Open Source Convention for six years. He was also the founding editor of the peer-reviewed journal Big Data. A startup veteran, Edd was the founder and creator of the Expectnation conference-management system and a cofounder of the Pharmalicensing.com online intellectual-property exchange. An advocate and contributor to open source software, Edd has contributed to various projects such as Debian and GNOME and created the DOAP vocabulary for describing software projects. Edd has written four books, including Learning Rails from O’Reilly.

Sessions

9:05am9:30am Tuesday, March 14, 2017
Data 101, Data-driven business management, Strata Business Summit
Location: LL20 C Level: Non-technical
Edd Wilder-James (Google)
Average rating: ****.
(4.00, 2 ratings)
Deep learning is white-hot at the moment, but why does it matter? Developers are usually the first to understand why some technologies cause more excitement than others. Edd Wilder-James relates this insider knowledge, providing a tour through the hottest emerging data technologies of 2017 to explain why they’re exciting in terms of both new capabilities and the new economies they bring. Read more.
1:30pm5:00pm Tuesday, March 14, 2017
Data-driven business management, Strata Business Summit
Location: 210 B/F Level: Intermediate
Edd Wilder-James (Google), Scott Kurth (Silicon Valley Data Science)
Average rating: ****.
(4.17, 6 ratings)
Big data and data science have great potential for accelerating business, but how do you reconcile the business opportunity with the sea of possible technologies? Data should serve the strategic imperatives of a business—those aspirations that will define an organization’s future vision. Scott Kurth and Edd Wilder-James explain how to create a modern data strategy that powers data-driven business. Read more.