Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Joseph Sirosh

Joseph Sirosh
Chief Technology Officer, Compass

@josephsirosh

Joseph Sirosh is the Chief Technology Officer at Compass. He was previously the corporate vice president of the Cloud AI Platform at Microsoft, where he leads the company’s enterprise AI strategy and products such as Azure Machine Learning, Azure Cognitive Services, Azure Search, and Bot Framework. Previously, he was the corporate vice president for Microsoft’s Data Platform; the vice president for Amazon’s Global Inventory Platform, responsible for the science and software behind Amazon’s supply chain and order fulfillment systems, as well as the central Machine Learning Group, which he built and led; and the vice president of research and development at Fair Isaac Corp., where he led R&D projects for DARPA, Homeland Security, and several other government organizations. He’s passionate about machine learning and its applications and has been active in the field since 1990. Joseph holds a PhD in computer science from the University of Texas at Austin and a BTech in computer science and engineering from the Indian Institute of Technology Chennai.

Sessions

9:15am–9:25am Wednesday, 09/30/2015
Sponsored
Location: Javits North
Joseph Sirosh (Compass)
Average rating: ****.
(4.46, 85 ratings)
Join Microsoft’s Joseph Sirosh for a behind-the-scenes sneak peek into the creation of the viral phenomenon How-Old.net. He'll cover how it got to 50 million users in 7 days, the unexpected big data challenges that came with it, and the surprising learnings they had about people and systems. Read more.
2:55pm–3:35pm Thursday, 10/01/2015
Business & Innovation
Location: 1 E16 / 1 E17
Alistair Croll (Solve For Interesting), Joseph Adler (Facebook), Margaret Dawson (Red Hat), Joseph Sirosh (Compass), Evan Prodromou (Fuzzy.io)
Average rating: ****.
(4.00, 5 ratings)
Data has gravity. Jim Gray once said that, “compared to the cost of moving bytes around, everything else is free,” and because of what this means for the economics of computing, the more data you have, the more it wants to be near other data. That means all big data systems, eventually, will live in centralized cloud environments. On the other hand, different data is processed in different ways. Read more.