Database and Data Analytic Systems

Date

August 1, 2018

Speaker

Surajit Chaudhuri, Tim Kraska, Andy Pavlo, Matei Zaharia

Affiliation

MIT's Computer Science and Artificial Intelligence Laboratory, Brown University

Overview

Increasing availability of the data, coupled with breakthroughs in Machine Learning and AI, have raised the ambitions of the enterprises to exploit insights from data to transform their businesses. This has challenged the data platform builders to architect platforms that support the exploration of insights in an efficient and cost-effective manner. Conversely, it has raised the hopes of data platform architects that the telemetry data captured by the data platforms can be harnessed bring the data-driven innovation to customize data platforms and make them adapt to the workload and data characteristics. In this session, we will explore this duality of “Data Platforms for AI” and “AI for Data Platforms”.

Speakers

Surajit Chaudhuri, Tim Kraska, Andy Pavlo, Matei Zaharia

Distinguished Scientist and Managing Director, XCG Surajit Chaudhuri

Tim Kraska is an Associate Professor of Electrical Engineering and Computer Science in MIT’s Computer Science and Artificial Intelligence Laboratory. Currently, his research focuses on building systems for machine learning, and using machine learning for systems. Before joining MIT, Tim was an Assistant Professor at Brown, spent time at Google Research, and was a PostDoc in the AMPLab at UC Berkeley after he got his PhD from ETH Zurich. Tim received the 2017 Alfred P. Sloan Research Fellow in computer science, the 2017 VMware Systems Research Award, an NSF CAREER Award, an Air Force Young Investigator award, two Very Large Data Bases (VLDB) conference best-demo awards, and a best-paper award from the IEEE International Conference on Data Engineering (ICDE).

Andy Pavlo is Ph.D. candidate at Brown University working on database management systems under the circumspect guidance of Stan Zdonik and Michael Stonebraker. His most recent work is focused on the research and development of the H-Store distributed transaction processing system (since commercialized as VoltDB). Before this, he was a systems programmer for the Condor Project at the University of Wisconsin-Madison with Miron Livny.