Predictive Analytics Innovation

Achieve actionable data insight

November 11 & 12, 2015 Hyatt Regency McCormick Place, Chicago

Confirmed Speakers

Confirmed Speakers• Chief Analytics Officer, Legendary Entertainment

• Chief Data Scientist, Dell

• Head of Data Science Engineering & Technology, eBay

• SVP, Director of Business Analytics, Northern Trust

• VP, Analytics & R&D, McGraw Hill Education

• Deputy Secretary of Public Safety & Homeland Security, Commonwealth of Virginia

• Chief Data Officer, Geisinger Health System

• Director, Engineering & Data Science, Rosetta Stone

• Director, Business Analytics, DIRECTV

• Director, Big Data & Mobile Analytics, Motorola

• Director, Data Science & Measurement, Tivo

• Director, Analytics, Insights & Reporting, Shape Up

• Manager, Risk Modeling & Data Science, Intuit

& many more added every week... check back regularly for more industry leading speakers

Previous Delegates Include • VP, Analytics -

• The Home Depot

• Senior Data Analyst - Panasonic

• SVP, Analytics - CitiGroup

• Sr Manager, BI - Expedia

• Vice President, Analytics - Coca-Cola

• Director, Risk - American Express

Who Will You Meet?There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level executives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President /Principal

SVP/VP

C-Level

Snr. Director /Director

Global Head / Head

Snr. Manager /Manager

Academic (1%)

78%

Company Size Of Attendees

8%

11%

25%56%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

81% Attendees are

companies with at least 300 employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

F TI L

The Predictive Analytics Innovation Summit returns to Chicago this November for what promises to be this year’s leading event for analytics practitioners to discuss how they are making the most of their data through the use of data analytics.

The explosion of Big Data of recent years - and the growth of the web and mobile as platforms creating large amounts of data - has created the opportunity for businesses to invest in analytics and data science in order to drive success across all areas of operation. Big Data offers a vast resource for businesses to capitalize on: it is through data analytics that this resource can offer real value.

The mass shift away from instinct-driven decision-making towards an approach that makes use of both quantitative and qualitative insight has been made possible through investment in analytics, and companies must now invest in analytics to inform the decision-making process or risk being left behind. Data-driven decision-making is essential for organizations looking to gain greater insight into customers and competitors while simultaneously maximizing profits and minimizing loss.

Join us in Chicago this November to hear how innovative approaches using analytics are changing the business landscapes both for multinational corporations and start-ups.

About The Summit

Confirmed Speakers

Matthew Marolda Chief Analytics Officer Legendary Entertainment

Matthew Marolda is Chief Analytics Officer at Legendary Entertainment. He formed and runs Legendary’s Applied Analytics division, which uses data and analytics to drive strategic decisions across all aspects of the company.Prior to Legendary, Mr. Marolda founded StratBridge LLC in 1999. StratBridge had two software solutions businesses: “moneyball” player analysis software used by many organizations in the NFL, NBA, European Football and Major League Soccer (sold to XOS Digital in 2012), and dynamic pricing and revenue analysis software used by many professional sports teams (acquired by Legendary in 2014, after Mr. Marolda had joined Legendary).

Changing Hollywood Paradigms with Analytics

Legendary Entertainment, the company behind movies such as the Dark Knight trilogy, the Hangover series, Inception, both 300 movies, The Town, Man of Steel, and Godzilla, is at the forefront of applying analytics in the entertainment industry. Legendary uses analytics to put its content in the best position to succeed, whether evaluating ideas and concepts to produce or utilizing micro-targeting to identify, reach, and persuade the precise audience. Proprietary, commercial-grade software constantly analyzes unique, extensive data across people, social media, and content. The presentation will delve into Legendary’s application of analytics across its business.

Alfred is an executive with 20 years of leadership experience in innovation management, research, analytics, technology strategy. and operational excellence. He is a member of the new leadership team reporting to MHE's Chief Digital Officer, Stephen Laster. Begin Sep 9th, 2013.

Alfred Essa VP, Analytics McGraw-Hill Education

State-of-the-Art Applications of Big Data

Clayton Christensen and others have argued that education is prime for disruption. In this session we will demonstrate state-of-the-art applications of Big Data in education, including adaptive learning, learning analytics, and advanced visualizations. We will also review key business challenges for driving the next level of innovation

Confirmed Speakers

Ann Kalayil was named Regional Administrator of the General Services Administration’s Great Lakes Region in January 2011. As the agency's regional chief executive, Kalayil heads operations that provide federal agencies and the U.S. courts in six states with support in vital areas such as real estate services, procurements, information technology, suppl ies , equ ipment , and veh ic les . Headquartered in Chicago, the region has a workforce of almost 1,000 employees and an annual operating budget of about $450 million. Before this appointment, Kalayil worked for more than 18 years at the University of Chicago in Information Technology Services, where she worked in Emerging Technologies and Communications.

Ann Kalayil Regional Administration General Services Administration

How GSA is Using Data Analytics to Serve the American People & Drive Excellence

The US General Services Administration (GSA) is responsible for delivering the best value in real estate, acquisition and technology services to government. This presentation will cover three case studies to illustrate how an information-centric approach using analytics has helped GSA and other federal agencies to become more transparent and gain operational efficiency. Two case studies will illustrate how the federal government is using analytics to better serve the American people. The third case study will explain how GSA uses analytics, both real time and predictive to drive down energy costs and meet the agency’s sustainability goals.

Andrei Khurshudov Chief Technologist Seagate Technology

Big Data Analytics for High-Quality Storage

The preservation of human knowledge is of great importance to progress, now and in the future. And because the vast majority of new data is stored digitally, the need for reliable digital storage is greater than ever. The challenge today is ensuring that those hundreds of millions of drives mass-produced by the storage industry are manufactured according to the highest standards of quality. The solution to that challenge may lie in a fast-growing field of Big Data Analytics. This presentation will discuss how Seagate has implemented this approach and how it has already resulted in a dramatic improvement in the quality of our products.

Dr. Andrei Khurshudov joined Seagate in 2006, where he now manages the Big Data Analytics and Insights organization, a team focusing on applying advanced analytics and machine learning concepts to such areas as finance, sales, product pricing, manufacturing, engineering, and quality. Before creating the Big Data Analytics and Insights organization,.The CRA team also worked on numerous data analytics projects and built models for the successful design and operation of a modern cloud data center. Andrei has a PhD in Mechanical Engineering. Prior to his time at Seagate, he worked at such companies as IBM, Hitachi Global Storage, and Samsung.

Sheridan has over 15 years experience in Business Intelligence, Analytics, Web, Product Management, and Business Strategy. He is currently VP of Data Products at Auction.com, the leading online real estate auctioneers in the United States. He has also held positions at two leading online ganmes companies, Kabam and Playfirst, where he has built out Analytics and Big Data groups from inception. He has led teams working on Lifetime Value Models for nearly ten years. Earlier on in his career, Sheridan worked at Procter and Gamble in the areas of Decision Support and Executive Information Systems. He also worked as a Managing Consultant at Towers Perrin where he led many business strategy and organizational effectiveness engagements for large companies.

Sheridan Hitchens VP, Data Products Auction.com

Advanced Topics in Lifetime Value: Why Models Fail, & What to do About it

In an age of Digital Marketing, where we can attribute costs to acquisition, understanding Life Time Value has become very important. However, the traditional models of Lifetime Value tend to be over simplistic, and miss a lot of key subtleties - the value of non-purchasing users, understanding the variance in your model, system shocks, variables costs to serve, and different purchasing models (such as marketplace). These can have a profound effect on LTV models, and how you should allocate your spending. This talk will look at the problems of traditional LTV models, and propose a couple of key practical suggestions to supercharge your approaches to get the most out of your marketing dollars.

Confirmed Speakers

As Director of Data Science, Charlie has guided the vision and implementation of Rosetta Stone's data science initiatives. Through a data centric perspective, products are now being architected to provide insight into user engagement, eff icacy and an empirical ly driven understanding of the science behind learning. Prior to Rosetta Stone, Charlie has held a variety of roles including, VP of R&D at a technology firm, a research scientist for the DOE & NNSA, and as a research astrophysicist for NASA. He has a real passion for languages, and speaks French, German, Italian, as well as a little Russian, Farsi & Arabic.

Charlie Burgoyne Director, Data Science Rosetta Stone

How Data Science in the Learning Space is Transforming Our Understanding of the Mind, User Engagement & Product Development

How have metrics on retention, engagement, and focus affected product development? How will the collation of disparate data on users inform our understanding of the learning process? How can data science serve our intellectual curiosity as well as our business objectives? We'll discuss the business, and scientific implications of the data we have collected, and share how this evolving technology has reshaped Rosetta Stone's direction and as well as the whole industry.

Ron Krzoska Director, Engineering & Analytics Motorola

Creating a Data Driven Culture via a Self Serve Ecosystem

In this presentation, Ron will discuss his work at Motorola in providing timely and accurate insights to drive strategic and tactical business & product decisions that yield a competitive advantage, this done by utilizing big data infrastructure and relevant visualization tools.

Ron Krzoska has an extensive background in device and infrastructure mobility as well as software as a service. Throughout this product development journey he always craved insight on how the products and experiences were consumed by the end user. This desire has led him to the analytics role at Motorola Mobility where he is responsible for the Chicago based analytics team. In this role, Ron is responsible for infrastructure, insights and creating a self serve ecosystem that delivers data driven business results.

Ranjan Sinha is a lead data scientist at eBay Inc., where he led projects in recommendations and personalization that significantly enhanced consumers’ shopping experiences. Previously, Dr. Sinha was a research academic at the University of Melbourne and holds a PHD in computer science from RMIT University, Australia. He has published over 25 works, including in top-tier venues such as IEEE Big Data, VLDB, and ACM SIGMOD. He won the sort benchmark for JouleSort and PennySort and was amongst WSJ’s top-12 Asia-Pacific young inventors. He regularly speaks on data sciences, big data technologies and co-organizes the popular bay area search meetup.

Ranjan Sinha Head of Data Science Engineering eBay

Predictive Analytics for e-Commerce Personalization at Scale

Commerce is at an inflection point where customers expect better and easier experiences both online and offline. They expect individualized experiences, while at the same time demand that their privacy is safeguarded. This presentation will introduce personalization in the realm of e-commerce platforms with a focus on scale and consequent challenges with designing experiences and algorithms for millions of users. An effective personalization is a data-driven process, that requires combining signals from multiple data sources (variety), handle billions of events (volume), and negotiate real-time stream processing (velocity).

Confirmed Speakers

Andy Curtis SVP, Business Analytics Northern Trust

Leveraging Analytics to Drive Client Satisfaction

Many companies are embarking on client experience projects to improve client satisfaction, loyalty, and most importantly overall relationship profitability. We believe that these experience projects should be directed by analytics in order to: 1) Form hypothesis on key drivers of satisfaction and identify meaningful gaps 2) Inform and measure client retention efforts 3) Monitor listening channels for changes in client sentiment This session will walk through a practical analytic roadmap to strategically inform client experience projects.

Andy Curtis is a Senior Vice President at Northern Trust. In this role, he leads an enterprise analytics team focused on leveraging data to enhance Northern Trust’s profitability. Prior to joining Northern Trust, Andy led marketing and analytics teams at General Re-New England Asset Management, JP Morgan, and Wunderman. He earned his BA and MBA from the University of Chicago.

Josh Frank Manager, Risk Modeling & Data Sciences Intuit

Intuit’s Modeling Ecosystem Approach to Detecting Payments Fraud

Often no single predictive modeling approach is sufficient for addressing big business problems. Josh Frank, Manager of Intuit’s Risk Modeling and Decision Sciences Team, discusses how Intuit addresses this issue to combat payments fraud. Intuit evolved from using rules, to models, to a “modeling ecosystem” that stresses diversity and utilizes an eclectic arsenal of models, systems, and advanced analytical tools. The details of this system and how it differs from a traditional ensemble modeling approach are described as well as how the lessons derived from it may apply more generally to other business problems.

Josh Frank works at Intuit’s Payments Processing Division as the Manager of Risk Modeling and Data Sciences. Josh has his Ph.D. in Economics as well as an MBA. Previously Josh worked as a Senior Researcher for the Center for Responsible Lending (a think tank/advocacy organization), as a professor of economics, an economic forecaster for state government, co-founded a non-profit organization, and managed various functions at a top ten credit card issuer. Josh has had numerous newspaper/television interviews from major media outlets as well as academic publications.

Director of Operations Business Analytic team who is dedicated to delivering high quality results with integrity & a mindset of teamwork. - Encourages innovation & brainstorming sessions within analytical community - Possesses effective balance of analytical and industry knowledge - Cultivates cross functional relationships in order to develop more robust analytics - Manages intake process of requests and effectively prioritize to align with business goals

Jeanine Hartmann Director, Business Analytics DIRECTV

What is Your Data Story?

When the Business Analytics department is asked a business question, we tend to respond in one of two ways. The first is to just answer the question at hand, which usually leads to more questions and clarifications and further explanations until we have provided enough data to make an educated business decision. The second is generate numerous data points to slice and dice every way possible, only to overwhelm our audience with numbers and graphs. Both of these approaches provide answers but require more time to sort through results and get to an educated business decision. There is a better way - use your data to tell a story, a story that is relevant and influential.

Confirmed Speakers

Jack Y. Chen is a Chief Data Scientist/Marketing Decision Science Director at Dell specializing in Investment Optimization, Customer Targeting, and CRM related advanced analytics. He works in measuring long-term impacts of difficult to measure influences such as brand campaigns, social media, corporate social responsibility and total quality management improvements. He is lead inventor on two patented modeling techniques including an overall investment model, a brand health model, and social media targeting.

Jack Chen Chief Data Scientist Dell

Revolutionizing Decision Making: How Analytics Will Take Over the Business

With advances in big data, artificial intelligence and increased metric captures of everything we do, analytics will go through a radical transformation in the next few decades. As a result, there will be a shift from analytics simply influencing business decision makers to analytics actually owning the decisions. This transformation is already happening in the pricing community, but expect it to expand to even CFO-level decisions.

Multiple Tracks of Content

Predictive Analytics Keynotes

The Summit will comprise of multiple tracks and opportunities over the two days in order to make the most of your experience.

C-Level analytics executives will discuss how their analytics organization has invested in data science and the latest trends affecting the industry today.

Analytics in Operation Track

Speakers will discuss how their organizations are actioning the insight gained from analytics, how they communicate this to the broader organization and the benefits of implementing a data-driven culture.

Deep Dive Data Science Track

Sessions will discuss the more technical aspects of how to make sense of your data, including natural language processing, machine learning and algorithm development.

Rachel studied Statistics, Communications, and Sociology. While she enjoyed the problem-solving aspect of Math and Statistics, she also wanted the social interactions Communications and Sociology provided. She has worked at L-3 Communications, American Express and TiVo as a statistician digging into various data sources to find insights. She spent 18 months at Silicon Valley Data Science -- a start-up consulting company -- mainly working on building data strategies for a variety of businesses. She recently returned to TiVo as the Director of Data Science and is currently working on driving a modern day data strategy there.

Rachel Poulsen Director, Data Science & Measurement TiVo

Batla is currently the Director of Business Intelligence & Analytics at ShapeUp, Inc., a company committed to connecting employees, programs and rewards to maximize wellbeing. In this role, he leads a data and analytics focused team - building out ShapeUp’s new BI platform. The BI platform provides critical insights to ShapeUp employers, helping them make better business decisions pertaining to the health of their employees - through engagement, messaging, programs and incentives. In addition, ShapeUp leverages client data to make better business decisions around product innovation, client engagement and operations.

Samir Batla Director, Business Intelligence & Analytics ShapeUp

The Information

Registration Pricing

Predictive Analytics Innovation Summit Date: November 11 & 12, 2015 City: Chicago, IL Venue: Hyatt Regency McCormick Place Hotel Reservations: Click here to make your reservations

For larger groups or special requests contact Sam Button by calling +1 415 992 5352 or email sbutton@theiegroup.com * Team discounts are applicable at the point of registration only.

Ways to Register 415 992 5352 +1 323 446 7673 Click Here to Register

Group Discount Offers 3 Silver Passes: $3300 ($1100 per attendee) 5 Silver Passes: $4750 ($950 per attendee) 3 Gold Passes: $4200 ($1400 per attendee) 5 Gold Passes: $6250 ($1250 per attendee) 3 Diamond Passes: $4800 ($1600 per attendee) 5 Diamond Passes: $7250 ($1450 per attendee)

Silver Pass

$1595 Access to all sessions &

networking events 7 days access to presentations from the

summit via ieOnDemand

$1395 Early Bird Price (before Sept 18)

Diamond Pass

$2095 Access to all sessions, networking

events, annual subscription to all content on the Big Data & Analytics channels via

ieOnDemand

$1895 Early Bird Price (before Sept 18)

Gold Pass

$1895 Access to all sessions, networking

events & unlimited access to presentations from the summit via

ieOnDemand

$1695 Early Bird Price (before Sept 18)

1 Day Pass

$795 Full access to the sessions to your chosen day of the summit, 7 days

access to presentations from the summit via ieOnDemand

7 day online access to event materials

On-Demand Pass

$600 Unlimited access to presentations from the summit via ieOnDemand, including

presentations, interviews & the ability to contact speakers

Unlimited access to

ieOnDemand

Register Before August 7 for Exclusive SUPER EARLY BIRD Discount - Saving $400 off Regular Price for 2 Day Passes

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1. Delegate Information...

2. Pass Types...Early Bird Pass Options until September 5, 2014

Early Bird Silver: $1395 Attendees ____ Early Bird Gold: $1695 Attendees ____ Early Bird Diamond: $1895 Attendees ____

Regular Pass Options after September 5, 2014 Silver Pass: $1595 Attendees ____ Gold Pass: $1895 Attendees ____ Diamond Pass: $2095 Attendees ____

Group Discount Pass Options 3 Silver Passes $3300 ($1100 per attendee) 5 Silver Passes $4750 ($950 per attendee) 3 Gold Passes $4200 ($1400 per attendee) 5 Gold Passes $6250 ($1250 per attendee) 3 Diamond Passes $4800 ($1600 per attendee) 5 Diamond Passes $7250 ($1450 per attendee)

For larger groups or special requests contact Sam Button by calling +1 415 992 5352 or email sbutton@theiegroup.com * Team discounts are applicable at the point of registration only.

Pass Descriptions: Silver Pass: Access to all sessions & networking events Gold Pass: Access to all sessions, networking events & unlimited access to ieOnDemand Diamond Pass: Access to all sessions, networking events, annual subscription to all content on the Big Data & Analytics channels via ieOnDemand

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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before October 12, 2015 incur an administrative charge of 50%. If you cancel your registration after October 12, 2015 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration FormPredictive Analytics Innovation Summit November 11 & 12, 2015 | Chicago | Illinois For registration or more information on the program, please call Sam on 415 992 5352, or fax this registration form to +1 (323) 446 7673

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Schedule

Networking Drinks 17.30 - 19.00

November 12

Session One 08.30 - 10.30

Coffee Break 10.30 - 11.15

Session Two 11.15 - 12.45

Lunch 12.45 - 13.45

Session Three 13.45 - 15.15

Coffee Break 15.15 - 16.00

Session Four 16.00 - 17.30

Day Two

November 11Day One 08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

19.00

08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

Session Five 08.30 - 10.00

Coffee Break 10.00 - 10.45

Session Six 10.45 - 12.15

Lunch 12.15 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.45

Session Eight 15.45 - 16.45

F TI L

Sponsors

For sponsorship information contact Euan at ehunter@theiegroup.com

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