Big Data Analytics Conference

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2 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 2 The 2014 Big Data Analytics Conference

3 Monday, September 8 11:00 a.m. to 5:00 p.m. Registration Desk Open 1:00 to 2:50 p.m. General Session 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 The 2014 Big Data Analytics Conference 3

4 3:10 to 4:00 p.m. Concurrent Sessions 1. Driving Improved Marketing Outcomes 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 4:10 to 5:00 p.m. Concurrent Sessions 3. Predicting Who Will Buy 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 4 The 2014 Big Data Analytics Conference

5 Tuesday, September 9 7:00 to 10:30 a.m. Registration Desk Open 7:00 to 8:00 a.m. Breakfast Sponsored by Spinnaker Analytics 8:00 to 10:00 a.m. General Session 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 5

6 10:00 to 10:30 a.m. Refreshment Break Sponsored by PwC 10:30 a.m. to 12:00 noon General Session 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. 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 Customize your agenda by visiting our attendee mobile site at: or by scanning this QR code: 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 6 The 2014 Big Data Analytics Conference

7 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. 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. 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 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 7

8 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. Le Meridien cambridge THIRD FLOOR EXECUTIVE CONFERENCE CENTER ( )