CSAIL Event Calendar


Using Big Data to Shape Empirical Decision Making in Insurance Applications

Speaker: Murli Buluswar, Chartis at AIG
Date: Thursday, October 11 2012
Time: 4:00PM to 5:00PM
Refreshments: 3:45PM
Location: 32-G449 (Patil/Kiva)
Host: Samuel Madden, CSAIL
Contact: Sheila Marian, x3-1996, sheila@csail.mit.edu

Murli Buluswar, Chief Science Officer for AIG-Property & Casualty will discuss how the newly created Science Office is starting to shape empirical based decision making in AIG. The mission of this team is to partner with business leaders across this large global insurance company to stoke consistent data driven insights and decisions. This capability touches a broad suite of areas including underwriting, claims, marketing, sales, and even human resources. Mr. Buluswar will share details on how the Science Team is starting to shape defined problems, and how it is harnessing technology, diverse data sources, and best in breed analytical techniques to support this transformation in how decisions are made across AIG.

Prior to joining Chartis at AIG, Murli was Vice President, Insight and Innovation (I&I) and Head of Customer Experience at Farmers Insurance, a subsidiary of Zurich Financial Services. I&I influenced decision-making across all functions based on data driven insights. In his customer experience role, Murli was responsible for shaping the enterprise vision on where and how much to invest to improve customer experience.

Murli’s other previous experiences include analytical roles in Answer Financial (one of the largest P&C insurance agencies), Progressive, The Monitor Group, and Capital One.


Murli speaks at conferences focused on innovation and analytics driven strategy. He is also actively involved with Los Angeles based Harmony Project, whose mission is to help inner city children achieve purpose through free music instruction.
Murli holds a B.A. in Economics from Bluffton University, an MS in Economics & Statistics from Auburn University, and an MBA from The University of Chicago.


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