2014 Big Data Analytics Conference

Big Data Analytics Conference
Welcome to LIMRA’s inaugural Big Data Analytics Conference! LIMRA helps the industry take
advantage of emerging issues and trends. Big data and advanced analytics is no exception.
This conference brings you high-level industry presenters and actionable content which will
provide insights into the way insurance and financial services companies will harness big data
in the future. You’ll learn about putting big data to work and driving enhanced business results
using analytics.
We have chosen Cambridge as the site of our first Big Data Analytics Conference in order to take
advantage of the location. Massachusetts is quickly gaining prominence as the big data capital of
the world and Cambridge is the hub for much of the activity. This conference will bring some of
the leading thinkers to help you navigate the wealth of resources available in the area.
Whether you work within the data realm or are a business executive keen on gaining a better
understanding, this conference has something for you. We are pleased that you have joined us to
explore and uncover opportunities to stay ahead of the competition.
Thank You to Our Sponsors
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The 2014 Big Data Analytics Conference
Big Data Analytics Conference
Monday, September 8
11:00 a.m. to 5:00 p.m. — Registration Desk Open
Executive Foyer
1:00 to 2:50 p.m. — General Session
Jerome C. Hunsaker Ballroom
Eric T. Sondergeld, ASA, CFA, MAAA, Presiding Moderator
Corporate Vice President, Distribution &
Technology Research
LIMRA
The Big Questions About Big Data
Jonathan L. Zittrain
Professor of Law
Harvard Law School and
the Kennedy School of Government
Professor of Computer Science
Harvard’s School of Engineering and
Applied Science
The power of big data has been alternately overestimated
and underappreciated. But its use is becoming routine,
and patterns are being established now that may last
years or decades. What are the most important long-term
issues arising from the widespread accretion and use of
big databases and powerful tools with which to analyze
them, and how might they be addressed?
Big Data and Smart Analytics — How New
Technologies Are Transforming Our Industry
Anand S. Rao, Ph.D.
Partner
PwC
Accelerating technology, driverless cars,
wearable and ingestible sensors,
personalized medicine, organ-on-a-chip,
and 3D printing of body parts are being tested in the
field and many will make their way into our lives in the
next five years. These technologies will have a profound
impact on the insurance, retirement and financial services
sectors across many dimensions — the way we view risk,
how we price risk, how consumers purchase products
and services, save and invest, plan for and experience
retirement and monitor physical and financial health, etc.
This session will examine the underlying technologies
related to ‘Big Data’ and smart analytics and showcase
how these technologies will continue to disrupt and
change the industry landscape across all elements of
product life-cycle and customer experience spectrum.
The availability of large volumes of social data, and the
ability to mine such data, are changing the way we
understand consumers. Use of sophisticated text, speech
and video analytics; geo-location; and enhanced
personalized online advice are already appearing in the
market, and will continue to get more sophisticated.
Case studies will be presented showing how some leading
organizations are re-defining the business model for
financial services and insurance.
Be part of this important presentation to understand
the key aspects of ‘Big Data’ and smart analytics, their
implications for the insurance sector, and the capabilities
required to win in the future.
2:50 to 3:10 p.m. — Break
Executive Foyer
The 2014 Big Data Analytics Conference
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Big Data Analytics Conference
3:10 to 4:00 p.m. — Concurrent Sessions
4:10 to 5:00 p.m. — Concurrent Sessions
Jerome C. Hunsaker Ballroom
Jerome C. Hunsaker Ballroom
1.Driving Improved Marketing Outcomes
3.Predicting Who Will Buy
From acquisition, to cross-sell and up-sell,
retention and win-back, a variety of modeling
techniques can be applied to better target your
marketing audience and to better inform your
marketing decisions. Big data — while still in its
infancy — can be leveraged to further improve
prediction and increase marketing relevance.
This session will review the actual scientific
application of modeling and segmentation design
that allows life insurers and financial services
companies to achieve specific marketing objectives.
Regina Chang, Senior Director, Analytic Consulting
Group, Epsilon
Luscomb Ballroom
2.Predicting Who Will Die
The Holy Grail of life insurance underwriting is
to make decisions very quickly, even instantly.
Predictive underwriting may be the key to
unlocking this potential for a substantial segment
of the market. While there are many obstacles,
a number of companies are making progress.
Come to this session to hear how these companies
are using data to improve underwriting processes
and their understanding of pricing risk.
Chris Stehno, Director, Deloitte Consulting, LLP
4:00 to 4:10 p.m. — Break
Executive Foyer
While predictive analytics can be used to manage
risk, gain efficiencies, and guard against fraud,
the first place many companies look to leverage data
is to increase sales. Whether to identify the best
prospects, understand the propensity to purchase
or invest, or determine cross-selling opportunities,
predictive analytics can be used to increase the
effectiveness of sales and marketing initiatives.
At this session, two companies will describe their
models for helping advisors and agents identify and
target the best local prospects for their products and
services, and pinpoint existing customers most likely
to buy additional products.
Andrew I. Greenberg, Principal, Firm Analytics,
Edward Jones & Co.; Scott A. Madarik, Manager of
Research Analytics, American Family Life
Luscomb Ballroom
4.Beyond Predictions: Descriptive Analytics for
Clarity & Insight
Whether you’re looking to sell more, underwrite
faster, uncover fraud, or understand your customers,
the best course of action may not necessarily be
the development of a predictive model. Sometimes
simply organizing or analyzing data in specific ways
can provide insight and value to today’s business
decisions without the need to see into the future.
At this session, two companies will share initiatives
that use data to improve business outcomes without
the need for predictive models.
Catherine D. Hanrahan, General Director, Control
Compliance & Expense Management, John Hancock;
Rahim Rajpar, Assistant Vice President, Strategy and
Business Development, John Hancock; Angela
Williams, Assistant Vice President, Transamerica
5:30 to 6:30 p.m. — Welcome Reception
Roof Garden
Sponsored by Acxiom
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The 2014 Big Data Analytics Conference
Big Data Analytics Conference
Tuesday, September 9
7:00 to 10:30 a.m. — Registration Desk Open
Executive Foyer
7:00 to 8:00 a.m. — Breakfast
Executive Foyer
Sponsored by Spinnaker Analytics
8:00 to 10:00 a.m. — General Session
Jerome C. Hunsaker Ballroom
Building a Big Data Analytics Program
Simon Gao
Vice President, Consumer Analytics
CUNA Mutual Group
Paul Martin
Vice President, Business Integration
Lincoln Financial Group
Gareth Ross
Vice President, Advanced Analytics
and Innovation
MassMutual
Data analytics programs across the insurance and
financial services industry range from just getting started
to well-established, with most companies somewhere in
between. Building the database and developing models to
answer business questions are not the same as investing
in an ongoing program. To build ongoing data gathering
and analytics capabilities, companies must consider
program structure, organizational placement, staff and
skills, data sources, tools, and more. This session will
feature a panel representing a range of companies and
approaches to employing big data with analysis,
measurement and feedback tools for business managers
to fulfill strategic and tactical objectives.
Guarding Your Customer’s Personal Privacy
and Your Brand in the Age of Consumerism
and Big Data
Sheila Colclasure
Privacy Officer, The Americas
Acxiom Corporation
As companies like yours embrace the
collection and use of consumer data to
power your business decisions, a critical
component of your reputation and experience is to
establish and maintain unshakeable trust. You must be
accountable for all the different types and usage of data
in your enterprise. This means you must have an
information governance program that accounts for
the different collections, permissions, and prohibitions
on the uses of data. Privacy also matters. Marketing data
in particular is more important than ever to inform
product development, marketing, market penetration
and customer experience. The use of that data must not
cross inappropriate lines, and should not create headline
risk for your company — what we refer to as the Wall
Street Journal Test. Current and future customers must
not experience a sense of “violation by data surveillance”
from the use of data related to their household or
themselves. Guardians of corporate big data initiatives
must be vigilant. What are appropriate uses of consumer
data? Where are the bright lines, to avoid ethical
dilemmas? What best practice standards exist or are in
active industry discussions that guide corporate big
data protection policy, in addition to established rules
and regulations?
The Robotic Data Scientist
Michael Schmidt
Chief Executive Officer
Nutonian
According to Gartner, the #1 concern of
CIO’s is applying analytics to their
business — do you have the right tools
for the job? Join Michael Schmidt, Ph.D. and world
renowned data scientist, as he outlines applications and
the associated challenges with data science within the
enterprise. Schmidt will specifically highlight use cases
within the financial services industry in addition to some
of the emerging markets and companies being developed
in response to the market tsunami known as “Big Data.”
The 2014 Big Data Analytics Conference
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Big Data Analytics Conference
10:00 to 10:30 a.m. — Refreshment Break
Executive Foyer
Sponsored by PwC
10:30 a.m. to 12:00 noon — General Session
Jerome C. Hunsaker Ballroom
You Have the Data, Now What?
Chris Lynch
Partner
Atlas Venture
As the epicenter of Big Data, Boston offers
organizations unparalleled access to talent,
technology solutions, and a community of
innovation. With Hack/Reduce hosting meet-ups on a
nightly basis on topics ranging from machine learning to
graph visualization, organizations are learning how to
maximize their return on information and move beyond
the basics of a “data lake.” For those looking to
understand how to monetize the ever growing swath of
data and create a strategy for competitive advantage
leveraging data and analytics as a core competency,
this is the one talk you don’t want to miss. Christopher
Lynch is a serial entrepreneur turned venture capitalist
with investments in some of the industry’s leading
analytics providers including Captricity, Data Robot,
Nutonian and SQRRL. Chris’ perspective as an operator
(most recently as CEO of Vertica) will help those looking
to develop an actionable plan to monetize their
information.
Customize your agenda by visiting our
attendee mobile site at:
http://www.limra.com/bigdataconf/m/
or by scanning this QR code:
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The 2014 Big Data Analytics Conference
Challenges and Opportunities in Big Data
(An Academic Perspective)
Samuel Madden, Ph.D.
Professor of Electrical Engineering
and Computer Science
MIT’s Computer Science and Artificial
Intelligence Laboratory
Professor Madden will discuss his experiences leading
Big Data efforts at the MIT Computer Science and
Artificial Intelligence Laboratory (CSAIL) and Intel
Science and Technology Center for Big Data (ISTC).
CSAIL identifies and develops new technologies needed
to solve next generation data challenges and works
closely with key industry stakeholders to provide
real-world applications and drive impact. Madden’s talk
will highlight some of the key results in core technologies
like databases and visualization, as well as application
areas including transportation, driver safety, and
medicine.
12:00 noon to 1:15 p.m. — Recap Luncheon
Luscomb Ballroom
Sponsored by Acxiom
1:15 p.m. — Conference Adjourns
Badge Colors for Attendees at the
2014 Big Data Analytics Conference
Blue — LIMRA member company attendees
Green — LIMRA staff
Orange — LIMRA nonmember attendees
Black — Guests and other participants
General Session Speaker Biographies
Sheila Colclasure
Privacy Officer, The Americas
Acxiom Corporation
Sheila Colclasure is principally responsible for managing the fair
information practices compliance, client support, and external policy
setting of Acxiom, a publicly-traded information management
company. Her primary areas of focus include monitoring and
coordinating enterprise-wide compliance with legal regulations,
industry guidelines, and Acxiom’s own leading-practice privacy
policies, external liaison and representation to policy setting entities,
and providing client support, coaching and advocacy on privacy as a
strategic business essential. As part of her role, Colclasure has
developed and implemented an annual privacy audit function that
is widely regarded as the best in the industry.
Chris Lynch
Partner
Atlas Venture
Chris Lynch focuses on big data and disruptive infrastructure, and is
working to establish Boston as a technical hub for big data. At Atlas,
he led investments in Hadapt, where he serves as chairman, Data
Robot, Nutonian, Sqrrl and Threat Stack. Lynch is the co-founder of
hack/reduce, a newly formed non-profit community space in
Cambridge focused on big data technology, where he also serves on
the board. Prior to joining Atlas in 2012, Lynch was president and
chief executive officer of Vertica Systems, where he led the company
from late stage startup to the top ranked big data company globally.
Samuel Madden, Ph.D.
Professor of Electrical Engineering and Computer Science
MIT’s Computer Science and Artificial Intelligence Laboratory
Samuel Madden’s research interests include databases, distributed
computing, and networking. His research projects include the C-Store
column-oriented database system, the CarTel mobile sensor network
system, and the Relational Cloud “database-as-a-service.” Madden is
a leader in the emerging field of “Big Data,” heading the Intel Science
and Technology Center (ISTC) for Big Data, a multi-university
collaboration on developing new tools for processing massive
quantities of data. He also leads BigData@CSAIL, an industry-backed
initiative to unite researchers at MIT and leaders from industry to
investigate the issues related to systems and algorithms for data that
is high rate, massive, or very complex. Madden was named one of
Technology Review’s Top 35 Under 35 in 2005.
Anand S. Rao, Ph.D.
Partner
PwC
Anand Rao is a Partner in PwC’s Advisory practice, is the Innovation
Lead for the U.S. firm’s Analytics Group and is the co-lead for the
Global Project Blue, Future of Insurance research. In these roles,
Rao is responsible for a team of practitioners who work with C-level
executives at some of the world’s largest organizations. As the
innovation lead for the analytics group, he is responsible for research
and commercial relationships with academic institutions and start-ups
focused on new and innovative big data and analytic techniques.
Rao’s business domain, statistical and computational analytics
knowledge generates unique insights into the practice of ‘data science.’
Michael Schmidt
Chief Executive Officer
Nutonian
Michael Schmidt’s research focuses on “Machine Science” — a
direction in artificial intelligence research to accelerate data-driven
discovery. Over the past six years, he has worked on algorithms and
techniques to automate knowledge discovery from data. In particular,
Schmidt has published extensively on identifying mathematical
relationships (such as laws of physics) in experimental data, and
algorithms in evolutionary computation. Currently, Schmidt runs
Nutonian Inc. which specializes in scientific data mining and cloud
computing for data analysis. In 2011, Michael was featured in the
Forbes list of the “Most Powerful Data Scientists.”
Jonathan L. Zittrain
Professor of Law
Harvard Law School and the Kennedy School of Government
Professor of Computer Science
Harvard’s School of Engineering and Applied Science
Jonathan Zittrain, the world’s leading Internet scholar, has made it
his mission to protect the Internet’s promise of innovation while
combating its greatest threats. He has long studied the legal,
technological and world-shaking aspects of quickly morphing virtual
terrains. Co-founder of Harvard’s Berkman Center for Internet and
Society, Zittrain works in several intersections of the Internet with
law and policy, including intellectual property, censorship and filtering
for content control, and computer security. As a highly regarded
speaker, he provides audiences with an inside look at how cyber
terrorism, law and technology affect our lives. His dual understanding
of law and technology give him insight into a range of security issues,
including digital property law, technology infrastructure protection,
cyber crime, privacy and free speech.
The 2014 Big Data Analytics Conference
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Antitrust Policy and Caution
Each person attending this function must be mindful of the constraints imposed by federal and state antitrust laws.
The people here today represent companies that are in direct business competition with one another. LIMRA’s purpose
is to provide a forum for the free exchange of ideas on the designated topics of our meetings. It is not the purpose of
these meetings to reach any agreement that could have anticompetitive effects.
Individuals must keep in mind that a violation of the antitrust laws may subject them to substantial fines and a jail
term. You can avoid problems by following simple guidelines:
1. Stick to the published agenda. Informal or “rump” sessions should not be held.
2. Pricing, premiums, benefits to be offered or terminated are competitively sensitive information which competitors
should not exchange or discuss with each other. Never take a poll of views or make a collective agreement on these
issues.
3. Always retain your right to make an independent judgment on behalf of your company.
LIMRA is dedicated to the purpose of assisting all of its members to achieve their competitive potential.
No smoking during any function.
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Executive Foyer
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