Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Roger Chen

Roger Chen
CEO, Computable

Website | @rgrchen

Roger Chen is cofounder and CEO of Computable and program chair for the O’Reilly Artificial Intelligence Conference. Previously, he was a principal at O’Reilly AlphaTech Ventures (OATV), where he invested in and worked with early-stage startups primarily in the realm of data, machine learning, and robotics. Roger has a deep and hands-on history with technology. Before startups and venture capital, he was an engineer at Oracle, EMC, and Vicor. He also developed novel nanoscale and quantum optics technology as a PhD researcher at UC Berkeley. Roger holds a BS from Boston University and a PhD from UC Berkeley, both in electrical engineering.

Sessions

9:00–9:05 Wednesday, 10 October 2018
Location: King's Suite
Ben Lorica (O'Reilly Media), Roger Chen (Computable)
Program cochairs Ben Lorica and Roger Chen open the first day of keynotes. Read more.
9:20–9:30 Wednesday, 10 October 2018
Location: King's Suite
Ben Lorica (O'Reilly Media), Roger Chen (Computable)
What technologies are ready for adoption, and how should companies and organizations evaluate automation technologies? Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning. Read more.
9:00–9:05 Thursday, 11 October 2018
Location: King's Suite
Ben Lorica (O'Reilly Media), Roger Chen (Computable)
Program cochairs Ben Lorica and Roger Chen open the second day of keynotes. Read more.
10:30–10:35 Thursday, 11 October 2018
Location: King's Suite
Ben Lorica (O'Reilly Media), Roger Chen (Computable)
Program cochairs Ben Lorica and Roger Chen close the second day of keynotes. Read more.
14:35–15:15 Thursday, 11 October 2018
Models and Methods
Location: Westminster Suite
Secondary topics:  Data Networks and Data Markets
Roger Chen (Computable)
Blockchain technologies offer new internet primitives for creating open and online data marketplaces. Roger Chen explores how data markets can be constructed and how they offer a shared resource on the internet for AI-based research, discovery, and development. Read more.