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As part of the MIT CSAIL bigdata lecture series, Dr. Calvin Andrus who works in Office of the Chief Information Officer at the Central Intelligence Agency, gave a talk on the challenges associated with deploying enterprise-scale analytic engines on top of cloud-based bigdata holdings in a classified environment.

Big Data: The Management Revolution

Erik Brynjolfsson, the Director of the MIT Center for Digital Business, the Schussel Family Professor at the MIT Sloan School, and a Research Associate at the National Bureau of Economic Research was the last speaker in the Big Data Lecture Series - Fall 2012.

Taming Big Data with Berkeley Data Analytics Stack (BDAS), Ion Stoica, Berkeley

As part of the Big Data Lecture Series — Fall 2012, Ion Stoica, a Professor at the EECS Department at University of California, Berkeley gave a talk on BDAS (Berkeley Data Analytics Stack). BDAS is an open-source data analytics stack for complex computations on massive data which supports efficient, large-scale in-memory data processing, and allows users and applications to trade between query accuracy, time, and cost.

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.

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