You are here


What Makes Big Visual Data Hard? Alyosha Efros, CMU

Alyosha Efros, an associate professor at the Robotics Institute and the Computer Science Department at Carnegie Mellon University gave a talk in the Big Data Lecture Series --  Fall 2012 at MIT CSAIL. In his talk he discussed how data-driven techniques can make use of big visual data to tackle computer vision problems which are very hard to model parametrically.

Using Big Data to Shape Empirical Decision Making in Insurance Applications, Murli Buluswar, AIG

Murli Buluswar, Chief Science Officer for AIG-Property & Casualty gave a talk in the Big Data Lecture Series --  Fall 2012 at MIT CSAIL. In this talk he shared details on how the newly created Science Office in AIG  is starting to shape empirical based decision making in a broad suite of areas including underwriting, claims, marketing, sales, and even human resources. His entire talk revolved around the theme of applying data science to influence  business decisions.

"Living with Big Data: Challenges and Opportunities", Jeffrey Dean and Sanjay Ghemawat, Google Inc.

As part of the Big Data Lecture Series -- Fall 2012, Google’s Jeff Dean gave a talk on how Google manages to deliver services which involve managing huge amounts of data. In order to make things work over the distributed infrastructure of Google’s several data-centers, they use services and sub-services. Each service uses a protocol to communicate with other services. These protocols are language independent.

EMC Spotlights bigdata@CSAIL

EMC TV is putting the spotlight on CSAIL’s new initiative bigdata@CSAIL in a 30-minute piece on the station’s IT Insider show.  Professor and CSAIL Principal Investigator Sam Madden chronicles the challenges and opportunities presented by the field and new research underway at CSAIL.

SAP Forbes article on the Power of Big Data

SAP writes about the potential economic power behind Big Data in a recent Forbes article.   The article refers to a study published in June 2011 by McKinsey Global Institute that looks at potential for economic impact in specific domains, including Health Care; Public Sector Administration; Retail; Manufacturing; and Personal Location Data.  The report estimates the value of Big Data to US Health Care alone could be more than $300 Billion per year. 


Subscribe to RSS - blogs