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2016 Big Data Analytics Conference

Illuminating Data

6/20/2016 - 6/22/2016
Revere Hotel/Boston Common, Boston, MA USA

Overview

Who Attends

Those leading and/or involved in efforts to better utilize analytics in the insurance and financial services business, whether you represent the business or technology side.

Highlights

Big data, predictive analytics, and advanced analytics are critical to staying relevant in today’s insurance and financial services industry. This conference brings you high-level industry presenters and actionable content which will provide insights into the way insurance and financial services companies are harnessing the value in their data.

This year's program seeks to take full advantage of the Boston, MA location, which many call the big data capital of the world. Both structured and informal networking sessions provide plenty of opportunity to forge new professional contacts.

With interactive demonstrations, problem solving exercises, and hands-on training, you will increase your knowledge base and develop skills necessary to shine light on your data.


Pre-Conference Seminar

Conference registrants are invited to participate in a pre-conference Applied Analytics Experience, geared for those who are newer to data analytics. Based on the enthusiastic feedback from last year's sold-out seminar, we are also excited to announce that this year's event will be expanded to a full day! The experience will take place on Monday, June 20th with an overview of how to approach a “big data” problem. Attendees will be grouped into teams, given a data set, a computer, and a data problem to solve. Each team will have a different tool set to work with and a tutorial on how to utilize the tool. This innovative seminar will conclude with presentations of your results and shared learning.

Hurry to register as seating is limited to 40!

Registration

Registration Fees

EARLY BIRD — By May 24, 2016:
Conference & Seminar
LIMRA Member: $1,890
LOMA (but not LIMRA) Member: $2,565
Nonmember: $3,235
Conference Only
LIMRA Member: $1,195
LOMA (but not LIMRA) Member: $1,795
Nonmember: $2,390

After May 24, 2016:
 
Conference & Seminar
LIMRA Member: $2,190
LOMA (but not LIMRA) Member: $2,990
Nonmember: $3,760
Conference Only
LIMRA Member: $1,395
LOMA Member (but not LIMRA): $2,095
Nonmember: $2,790

Cancellation Policy  

All cancellations must be received in writing. Cancellations received before May 27, 2016, will be refunded, less a $75 processing fee. Cancellations received from May 27, 2016, to June 10, 2016, will be refunded, less a $275 processing and administrative fee. No refunds will be issued after June 10, 2016.

In the event that a scheduled meeting or event is cancelled by LIMRA for any reason, LIMRA shall refund any conference registration fees that have been paid by the registrant. Under no circumstances, however, shall LIMRA be liable to the registrant for any other expenses including, but not limited to, airfare and hotel expenses incurred by the registrant

Hotel/Venue

Revere Hotel

200 Stuart Street
 Boston, MA  02216

Reservations
Reservations Phone: 1-855-673-8373

Please make your reservation using the link or by calling the reservations phone number and mention the LIMRA Big Data Analytics Conferences by May 24, 2016 to obtain the group rate of $289 single/double plus tax.  Reservations made after May 24, 2016 will be at the prevailing rate and based on space availability.  The group guest room rate will be offered three days prior and three days after the meeting dates and subject to availability of rooms at the time of your reservation.  Reservations must be guaranteed with a major credit card.  

Hotel Revere

Agenda


Concurrent Session periods 2, 3, 4, and 5 each include a Micro Summit.

Micro summits are highly interactive discussion sessions limited to approximately 15 people. These sessions allow attendees to engage with each other and share ideas on hot topics regarding big data analytics.

Speakers

Louis DiModugno
Managing Director and Chief Data and Analytics Officer, AXA

Louis DiModugno

Managing Director and Chief Data and Analytics Officer, AXA

Louis’s background includes independent and corporate consulting where his experience ranges from financial services (asset management, retail banking), insurance (P&C, Life and Wealth Management), and government/military industries within the federal sector as well as Fortune 50 companies. He has lead programs internationally across the disciplines of business strategy, line operations/analytics and technology management. Louis is an Adjunct Professor at Rensselaer Polytechnic institute where he instructs in Lean Six Sigma methodology and Service Operations Effectiveness. In addition, he is a retired USAFR Colonel where his leadership, strategy and operations background had been honed for over 28 years as a Logistics and Aircraft Maintenance Officer.
Jennifer Golbeck, Ph.D.
Director of the Social Intelligence Lab, University of Maryland
  • Tuesday, June 21, 2016

    8:15 am - 10:00 am: General Sessions

Jennifer Golbeck, Ph.D.

Director of the Social Intelligence Lab, University of Maryland

Dr. Jennifer Golbeck is a computer scientist, Director of the Social Intelligence Lab, and a professor in the College of Information Studies at the University of Maryland, College Park. Her research focuses on analyzing and computing with social media and creating usable privacy and security systems. She writes for Slate and The Atlantic and frequently appears on NPR, including as a regular guest host for The Kojo Nnamdi Show. Her TED talk was named one of the most powerful talks of 2014. She received a Bachelor of Arts degree in Economics, a Bachelor of Science degree, a Master of Science degree in Computer Science at the University of Chicago, and a Doctor of Philosophy degree in Computer Science from the University of Maryland, College Park.

Sridhar Iyengar, IBM TJ Watson Research Center
IBM Distinguished Engineer, Cognitive Computing Research
  • Wednesday, June 22, 2016

    10:45 am - 11:45 am: THE FUTURE OF FINANCIAL DECISION MAKING USING COGNITIVE COMPUTING

Sridhar Iyengar, IBM TJ Watson Research Center

IBM Distinguished Engineer, Cognitive Computing Research

Sridhar Iyengar, is a technical leader at the IBM T.J. Watson Research Center. Sridhar leads the Cognitive Applications and Solutions Research agenda for IBM. His work brings IBM's innovative Cognitive, Mobile & Analytic technologies composed as Applications & Solutions to IBM customers. Sridhar has extensive experience working with teams in IBM and with the world’s leading system integrators helping implement best practices, tools and architectural guidelines. Sridhar is also an industry standards leader and has pioneered several core Architecture, Modeling, Semantic and Data Interchange standards at OMG.

Sridhar has over 30 years of experience in the software industry (12 years in IBM) and is an expert in Data, Business, Service and Semantic modeling, Application Life Cycle Management, Cognitive Computing, Middleware and Metadata Management.  Sridhar holds several patents in modeling, metadata management and tools integration and is a frequent speaker at conferences worldwide.
Victor S.Y. Lo
Vice President, Data Science, Workplace Investing, Fidelity Investments

Victor S.Y. Lo

Vice President, Data Science, Workplace Investing, Fidelity Investments

Victor S.Y. Lo is a seasoned Big Data, Marketing, Risk, and Finance leader and innovator with over two decades of extensive consulting and corporate experience employing data-driven solutions in a wide variety of business areas, including Customer Relationship Management, Market Research, Advertising Strategy, Risk Management, Financial Econometrics, Insurance, Product Development, Transportation, and Human Resources. He is actively engaged with Big Data Analytics, causal inference, and is a pioneer of Uplift/True-lift modeling, a key subfield of data mining. Victor has managed teams of quantitative analysts in multiple organizations. For academic services, Victor has been a visiting research fellow and corporate executive-in-residence at Bentley University. 

Sponsors / Exhibitors

Sponsors

Contact us to learn more:

Mary-Jo Adams

Senior Conference Coordinator

LIMRA

(860) 285-7798

mjadams@limra.com