Wednesday, May 14, 2014

Continental Breakfast

8:00 a.m. - 9:00 a.m.

KEYNOTE: Oh, Shift! How Big Data Is Calling for an Enterprise Data Rethink

9:00 a.m. - 9:45 a.m.

Anne BuffThe addition of Big Data does not negate the need, purpose, or existence of traditional business data. In many situations Big Data adds to the value (and head aches) of existing data. SAS thought leader Anne Buff looks at how your enterprise search, data and content management, policymaking, oversight, and governance practices will shift (or not) as you add more data capabilities. She shares how, as you explore new insights and capabilities for customer engagement, you can exploit Big Data, recognize prospects for data monetization, and seize the opportunities of data’s ROI.

Anne Buff, Business Solutions Manager, SAS Best Practices, SAS Institute

Enterprise Search in the Age of Big Data

9:45 a.m. - 10:00 a.m.

Is the search solution you are using today solving yesterday’s problems? As knowledge workers rely more on mobile, social, and cloud technologies to perform their jobs, the boundaries between personal and professional data are becoming blurred. Unstructured data, including video and other rich media, now forms a large portion of an enterprise’s information assets. How do these trends affect your enterprise search requirements? Find out what you can do to succeed in today’s information age.

Dan Burke, Vice President, HP Autonomy

Coffee Break in the Data Solutions Showcase

10:00 a.m. - 10:45 a.m.

Track A — Business Insights

Moderator: George Everitt, CEO, Applied Relevance

A201: Achieving a 360-Degree View of Your Customers

10:45 a.m. - 11:30 a.m.

To increase ROI on Big Data investments, companies need to integrate Big Data insights with core customer-profitability analytics. In his presentation, practitioner, author and analyst Jaime Fitzgerald shares a step-by-step methodology to capitalize on this opportunity. In addition, Michael Hummel from ParStream, a provider of a real-time database for Big Data analytics, will cover a real-world case study highlighting how marketers can better target their digital spend based on traffic performance. Audience questions and interaction are encouraged!

Using Big Data to Enhance Customer Profitability Analysis

Jaime Fitzgerald, Founder & Managing Partner, Fitzgerald Analytics

Creating Meaningful Customer Engagement: A Case Study Panel

Michael Hummel, CEO and Co-Founder, ParStream

A202: Big Data in Action: Real-World Case Study

11:45 a.m. - 12:30 p.m.

How do you protect 65% of the world’s payment cards from fraud? Learn how FICO developed a Big Data paradigm on a flexible hardware and software infrastructure that can not only intake and process tremendous volumes of data (more than 10TB a month!), but enforce a rigorous system of standards and strong data management practices to help ensure both the timeliness, integrity, and quality of the data, as well as its security and privacy. Scott Zoldi, head of Fraud Analytics at FICO, discusses the data management processes that keep you money safe.

Managing the World’s Largest Fraud Payment Card Data Consortium

Scott Zoldi, Vice President - Analytic Science, FICO

Tara J Bruckert, Director of Technology Solutions, Attunity

Attendee Lunch in the Data Solutions Showcase

12:30 p.m. - 2:00 p.m.

A203: Solved and Unsolved Problems in Online Retail

2:00 p.m. - 2:45 p.m.

Retail hasn't changed. Sure, technology allows you to serve geographically dispersed customers 24/7. But - you still have to make the sale. As far as online retailing is concerned, what?s required at the bare minimum are services supported by an infrastructure that never goes down. The next battles involve capturing your consumer's attention, converting the casual browser to a paying customer, and getting them to come back for more. Learn about the current state of technology as it relates to retail, ways to easily solve problems, and challenges you may not yet have tackled.

Tom Santero, Director of Evangelism, Basho Technologies, Inc.

A204: Aligning IT and Business for Big Data Success

3:00 p.m. - 3:45 p.m.

It is important for organizations to leverage the opportunities that focused analytics can provide. However, data-savvy professionals often face the challenge of operating within a culture that does not value (or understand) these capabilities. Other departments and executives often require education and persuasion before they truly buy-in. An important first step is to understand the perspective of nontechnical stakeholders. But CIOs can accomplish even more with a range of techniques inspired by everything from behavioral sciences, to linguistics, to the Symbionese Liberation Army. In this presentation, Justin Segal describes specific techniques for how data advocates can operate within an organization and influence change throughout the enterprise.

Creating a Data-Centric Culture

Justin Segal, President, Boxer Property

A205: Security and Privacy in the Era of Big Data

4:00 p.m. - 5:00 p.m.

Data security and privacy make up one of the biggest hot-button issues today. From health records to trade secrets, your confidential information is increasingly being stored and analyzed on Big Data platforms. If your organization works with this type of information, then data security must always be top of mind. This session demonstrates the key methods to secure Big Data and meet compliance initiatives related to data privacy. Attendees also hear from a special panel of industry leaders on the future of privacy in the era of Big Data.

Securing Big Data

Eddie Garcia, VP of Information Security & Services, Gazzang

Is Big Data the End of Privacy? A Panel Discussion

Allison J Brody, Deputy Counsel, Privacy, Reed Elsevier

Track B — Technology Insights

Moderator: John O'Brien, Principal Advisor & Industry Analyst, Radiant Advisors

B201: Taking Advantage of In-Memory

10:45 a.m. - 11:30 a.m.

The most innovative companies in telecom, retail, online gaming, financial services and advertising—to name a few industries—are beginning to adopt in-memory analytics to drive real-time decisions in operational workloads. This session discusses what in-memory analytics is (as the term analytics means different things to different people) and examines the advantage it provides for various use cases.

The Need for Speed and Scale: Building a Database for Real-Time Analytics

Eric Frenkiel, CEO & Co-Founder, MemSQL

Fun Things You Can Do When Your RAM is Larger Than Your Big Data

Peter Boothe, Software Engineer, Google

In-Memory Analytics: Getting the Most Value Out of Your Data

Ryan Betts, CTO, VoltDB

B202: Architecting for the Agile Enterprise

11:45 a.m. - 12:30 p.m.

Faster moving, more agile data architecture methodologies have emerged and risen to prominence based on new technologies and driven by new business imperatives. Do your scrum teams bypass data architecture on the road to rapid delivery? Is data architecture reduced to post-facto documentation of a fait accompli? Are you paying too much for reinvention, rework and integration? What’s the proper role of data architecture today? Where and how can data architects best add value for agile teams and the larger enterprise? What are the critical prerequisites and success factors? This talk explores these questions and more, including the cultural, technical, and methodology gaps between the worlds of data architecture and agile development.

Of Models and Mashups - Data Architecture in the Agile Age

Henry Olson, Director of product management, Embarcadero Technologies

Attendee Lunch in the Data Solutions Showcase

12:30 p.m. - 2:00 p.m.

B203: Increasing Your Performance Through Virtualization

2:00 p.m. - 2:45 p.m.

A database is one of the most resource-intensive applications you will ever virtualize. If not done correctly the database will never perform as needed. The lessons taught in this presentation help you start out right and architect for performance if you are virtualizing Oracle, Microsoft SQL Server, SAP, Oracle E-Business Suite, or any other business-critical applications.

Virtualizing Your Database for Performance

Michael J Corey, President, Ntirety – A HOSTING Company

B204: Enabling the Real-Time Enterprise

3:00 p.m. - 3:45 p.m.

This session has been cancelled.

B205: The Convergence of Big Data and the Cloud

4:00 p.m. - 5:00 p.m.

More organizations are interested in moving data workloads to the cloud to capitalize on cost efficiencies and rapid time-to-value. This session provides a discussion of the key challenges and advantages of cloud deployments, including the need to build for high availability in the cloud, ways to make Big Data analytics easier with cloud solutions, and how cloud technologies can be leveraged for Big Data management.

Building for High Availability in the Cloud

Cary Breese, CEO, GenieDB

Vince Vasquez, CEO, Cloudbook

It’s a Cloud Party—BYOD (Bring Your Own Data)

Jack Coleman, Architect, LexisNexis

Using the Cloud to Unleash the Potential of Big Data

Lakshman Bulusu, Consultant & VP of Research, Matlen Silver, Qteria

Track C — Industry Insights

Moderator: Joe McKendrick, Principal Researcher, Unisphere Research

C201: Big Data and Finance: Key Technologies and Strategies

10:45 a.m. - 11:30 a.m.

Big Data combined with the right technologies can provide unmatched insight and advantage in the financial services sector. Hear experts in the field discuss what works—the benefits of machine-learning for pattern recognition in trading in the equity, fixed income, foreign exchange, and commodity markets; the need to architect for holistic and integrated data quality, data security, data standards, data access, and data infrastructure; and how the combination of Hadoop and NoSQL, given their agile, schema-on-read approach to data management and scale-out architecture, provides an attractive approach for managing trade data.

Open Data. Open Innovation.

Building an Operational Trade Data Store With NoSQL and Hadoop

Amir Halfon, CTO, Financial Services, MarkLogic Corporation

Using Machine-Learning for Pattern Recognition in Trading

Philippe Burke, Portfolio Manager, Apache Capital

C202: Big Data and Finance: A Special Panel Discussion

11:45 a.m. - 12:30 p.m.

Big Data has major implications to the financial industry, including important challenges and exciting opportunities. Hear how the biggest names in finance are leveraging Big Data to stay ahead of the game.

James Dawson, Director, Forensic Technology, KPMG

Tassos Sarbanes, Mathematician / Data Scientist, Investment Banking, Credit Suisse City University of New York

Elad Israeli, Founder & CPO, SiSense

Attendee Lunch in the Data Solutions Showcase

12:30 p.m. - 2:00 p.m.

C203: Big Data and Healthcare: Key Technologies and Strategies

2:00 p.m. - 2:45 p.m.

Healthcare is being disrupted by the collision of a wave of innovation. The emergence of Big Data, cloud computing, analytics, and social media and increasing wellness awareness through mobile devices are revolutionizing patient-centered connected care. This session discusses the new technologies and approaches that offer promise in terms of better data understanding for organizations and individuals.

Turning Big Data Insights into Action through Advanced Analytics

Craig Rhinehart, Director, IBM Software Solutions Group IBM Smarter Care Strategy and Market Development

Visualizing Data and Your Health

Teresa Black, Director of Data and Healthcare Solutions, KMS Technology, Inc

C204: Big Data and AdTech: Key Technologies and Strategies

3:00 p.m. - 3:45 p.m.

Big Data technologies are changing the way marketers themselves make decisions, as well as how they engage with customers. Programmatic or machine-driven ad buying now accounts for almost half of all display ad spending—and video, social, and mobile advertising are catching up fast as well. At the same time, the competition to acquire and engage users is intense, and systems that are fueled by real-time can help enterprises make better decisions, deliver better performance, and drive higher revenues. Enterprises seeking to interact with customers using real-time Big Data can learn valuable lessons from pioneers in ad-tech. This session discusses the current technologies in use in the advertising sector and look at what’s on the horizon.

Real-Time Interactions: What Enterprises Can Learn from AdTech

Srini Srinivasan, Founder & Vice President of Engineering and Operations, Aerospike, Inc.

Michael Yudin, CTO, AdMarketplace

Rise of the Machines on Madison Avenue: How Big Data Is Transforming Advertising

Mark Torrance, CTO, Rocket Fuel

C205: Big Data and Government: Key Technologies and Strategies

4:00 p.m. - 5:00 p.m.

Big Data is not just for Big Business. Learn how the government sector is embracing the transformative power of new technologies and techniques. Hear how smarter cities are better supporting their citizens and understanding their behaviors by incorporating key performance indicators, trend analysis, sentiment analysis, enhanced data sharing, and a multitude of advanced analytics approaches. Find out how the U.S. Census Bureau is developing a Microdata Analysis System (MAS) which, when operational, will make custom tables and other analyses of confidential Census Bureau Microdata available without allowing the user access to the underlying data.

Creating a Microdata Analysis System

Michael Freiman, Research Mathematical Statistician, Center for Disclosure Avoidance Research, U.S. Census Bureau


Rick Smolan
Rick Smolan
CEO, Against All Odds Productions
Anne Buff
Anne Buff
Thought Leader, SAS

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