3 NOVEMBER 2016 | AUSTIN, TX

Big Data: Big Hype or Big Imperative?

BOTH.
To get passed the hype, you need to make big data “talk.” You need the data to provide actionable insights that ensure our companies’ future. What’s more, we need to know if big data can predict the next cyber-attack. That’s why November 3rd will give you a real-world answer.

Come meet the experts who are grappling with and solving the problems you face in mining the value of big data. You’ll hear case studies, what’s worked and what hasn’t worked for the big data leaders. You literally can’t afford to miss the all new Rock Stars of Big Data 2016.

 

 

WHY ATTEND?

  • You’ll hear case studies from the executives from leading companies on how they drive action with big data
  • Many big data projects don’t lead to any real business applications – analytics processing in real time is needed on a massive scale
  • The benefits of big data in an IoT environment
  • Surviving the big data journey and coming out with a competitive advantage
  • Everything you need to know about big data and cybersecurity

 

 

     WHAT YOU'LL EXPERIENCE

  • The newest and most advanced thinking in big data analytics from experts representing IBM, Halliburton, Teradata, DataStax, ID Analytics, Booz Allen Hamilton, and more
  • Actionable solutions you can put to work the next day to bring your Big Data strategy up to date
  • A serious challenge to your assumptions
  • A chance for in-depth Q&A and collaboration
  • An unmatched networking opportunity
  • Up-close views of new products and solutions
  • Interaction and relaxation over lunch and cocktails

 

 

Rock Star Audience

Hear What Our Audience is Saying About the Rock Star Events:

"This was a really valuable event. The speakers and venue were excellent!" - J. Burroughs

"Great way to network with other people in my field looking for answers." - B. Swift

Speakers

 

Bill Franks

 

 

Bill Franks

Chief Analytics Officer
Teradata

At Teradata, Bill provides insight on analytics & big data trends and helps clients understand how Teradata can support their efforts. In addition, he is a faculty member of the International Institute for Analytics and the author of the books Taming The Big Data Tidal Wave and The Analytics Revolution. He is also a sought after speaker and frequent blogger. His work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations. You can learn more at http://www.bill-franks.com.

 

Satyam Priyadarshy

 

 

Satyam Priyadarshy

Chief Data Scientist
Halliburton

Satyam is a pioneer in data science, big data, analytics, and emerging technologies. At Halliburton’s Landmark PSL, he leads expansion of integrated workflow capabilities and other data development initiatives. Satyam has appeared as speaker at several international conferences and has written, co-authored, presented and published numerous research papers in peer-reviewed journals and magazines. He was recently named to The Financial Times’ list of potential board candidates with emerging technology and analytics expertise. Satyam is an adjunct faculty member at Georgetown University. He is currently senior fellow at the International Cyber Security Center at George Mason University. He is advisory board member at multiple organizations including Big Data Summit and Virginia Tech’s MBA Board.
Joshua Greenbaum

Joshua Greenbaum

Principal
Enterprise Application Consulting

Joshua has over 30 years of experience in the industry as a computer programmer, systems analyst, author, consultant, and industry analyst. Josh regularly consults with leading public and private enterprise software, database, infrastructure, implementation, and hardware companies, and advises end users on technology infrastructure and applications selection, development, and implementation issues.
Stephen Coggeshall

Stephen Coggeshall

Chief Analytics and Science Officer
ID Analytics

Stephen is the Chief Analytics and Science Officer at ID Analytics, an identity fraud protection company wholly owned by Lifelock. He was the founding CTO of ID Analytics where he built the analytics team and helped design the technical solution approach. Prior to ID Analytics, he worked as a researcher in nuclear fusion at the Los Alamos National Laboratory. In addition to ID Analytics, Stephen also cofounded the analytics consulting companies CASA (acquired by HNC Software) and Los Alamos Computational Group (acquired by Morgan Stanley). His primary expertise is in forming and managing teams of data scientists to attack complex business problems using advanced algorithms on big data. He has deep expertise in consumer behavior modeling, optimization, forecasting and financial engineering.
Ben Coverston

Ben Coverston

DSE Architect
DataStax

During Ben's five years at DataStax, he has seen the company grow from 15 to 400+ people. He contributed to the development of Cassandra and DataStax Enterprise, which is a distribution of Cassandra built for the performance and availability demands of IOT, web, and mobile applications. He is particularly interested in how real world systems are eventually consistent and how they can be generalized to solve unrelated problems.
Kirk Borne

Dr. Kirk Borne

Principal Data Scientist
Booz Allen Hamilton

Kirk supports the Strategic Innovation Group at Booz Allen Hamilton in the area of NextGen Analytics and Data Science. He previously was Professor of Astrophysics and Computational Science at George Mason University, where he taught courses in Data Science. Prior to that, he supported large scientific data systems for various NASA astronomy missions, including the Hubble Space Telescope. He has been an invited speaker at over 200 conferences and events worldwide. Since 2013, he has been named a worldwide top influencer in Big Data and Data Science on Twitter. Follow him on Twitter at @KirkDBorne.
Eddie Garcia

Eddie Garcia

Chief Security Architect
Cloudera

Eddie Garcia is chief security architect at Cloudera, a leader in enterprise analytic data management. Eddie helps Cloudera enterprise customers reduce security and compliance risks associated with sensitive data sets stored and accessed in Apache Hadoop environments. Working in the office of the CTO, Eddie also provides security thought leadership and vision to the Cloudera product roadmap. Formerly the VP of InfoSec and Engineering for Gazzang prior to its acquisition by Cloudera, Eddie architected and implemented secure and compliant Big Data infrastructures for customers in the financial services, healthcare and public sector industries to meet PCI, HIPAA, FERPA, FISMA and EU data security requirements. He was also the chief architect of the Gazzang zNcrypt product and is author of two patents for data security.
Alex Vayner

Alex Vayner

NA Data Science & Analytics Practice Leader
Capgemini

Alex Vayner is a NA Data Science & Analytics Practice Leader at Capgemini. Throughout his career Alex has focused on leveraging data and quantitative methods to establish business intelligence platforms and advanced analytics products that can generate sustainable data-driven actionable insights. Before Capgemini, Alex was at Equifax where he was a Vice President, Global Data Innovation Leader Director. Before Equifax, Alex was a VP and Analytic Practice Leader for Brand Velocity, a boutique management consulting firm. Alex joined Brand Velocity from Altisource, a public technology firm where he headed strategy, analytics and innovation for the e-commerce portal Hubzu. Earlier in his career Alex was an engagement manager at Booz Allen Hamilton, where he led analytics for a new commercial financial services practice. At his first consulting engagement, Alex worked at a boutique strategy consultancy, Mars & Co, where he worked on international projects in market research, financial modeling and valuation work for multiple Fortune 50 clients. Alex earned his bachelor’s degree in mathematics from University of Florida and his master’s degree in applied mathematics from Georgia Tech. 
Venkatesh Ravichandran

Venkatesh Ravichandran

Director of Customer Success Science
Zilliant

Venky manages the science behind the price and sales optimization solutions for numerous Zilliant customers across North America and Europe. He has configured and designed Zilliant’s price optimization architecture to adapt to the various pricing methodologies and market conditions of the customers to provide them a better understanding of cash rich market segments. Additionally, he has lead research and development initiatives to aid impact measurement. His current role as a Director of Science, Customer Success also includes educating Zilliant customers about pricing science, market segmentation and optimization approaches, and price elasticity measurement methods. Venky earned his Master of Science degree in Industrial and systems engineering (Operations Research) from Texas A&M University.
Dr. Michael Hasler

Dr. Michael Hasler

Program Director Master of Science in Business Analytics Program McCombs School of Business
The University of Texas at Austin

Michael Hasler is a Lecturer at the Red McCombs School of Business at the University of Texas at Austin where he teaches both graduate and undergraduate courses in the Information, Risk, and Operations Management department. He is also the Program Director for the MS program in Business Analytics and a fellow in the Supply Chain Management Center of Excellence. The bulk of his professional experience was in the auto industry in Supply Chain and Operations, and he moved to high technology in the semiconductor equipment industry with Applied Materials in Austin, Texas. While at Applied he helped launch their Supply Chain Management activity, led operations for a $1 billion division, and was the Head of Global Materials Operations before leaving in 2003. As one of the operations executives at Applied, he was chosen to help create and lead Applied Materials’ Leadership Development program, and it was this experience that led to his PhD in Human Resource Development at Texas A&M University in 2009. A native of the Midwestern US, Michael (Mike) Hasler grew up in Indiana and Michigan, and has lived throughout the Great Lakes region. With his bachelor’s degree in Mechanical Engineering from General Motors Institute (now Kettering University), Mike spent over twenty years in the auto industry working for a few different companies including General Motors and Nissan; as well as owning a company that was part of the auto, defense, and engineering industries. During this time, he attended the University of Virginia as a GM Fellow, where he obtained a Master of Business Administration and a Master of Engineering in Systems Engineering. Mike and his wife, Nancy, are the parents of two adult children—Adam and Whitney—and live in Dripping Springs, Texas.

 

 

Agenda

Morning Session: 9:00 a.m. – 12:30 p.m.

Dr. Kirk Borne

Principal Data Scientist
Booz Allen Hamilton

The Self-Driving Organization: Big Value from Big Data in the Internet of Things

View Presentation Slides Here

This talk will focus on value propositions associated with applications of big data analytics within the emerging connected world called The Internet of Things. The benefits of advanced analytics applied to such ubiquitous streaming data include: Data-to-Knowledge (discovery), Data-to- Insights (better decisions), and Data-to-Innovation (monetization and productization of data). A universal dynamic data-driven applications model will be presented. The heart of the model is data science: inference and prediction from data.

Stephen Coggeshall

Chief Analytics and Science Officer
ID Analytics

Using Big Data Analytics to Find Identity Fraud

View Presentation Slides Here

In this talk, Steve discusses how big data analytics can be used to examine very large data flows to find instances of identify fraud and help protect consumers and businesses. First, he defines and characterizes different modes of identity fraud (identity theft, identity manipulation and synthetic identities) and provides examples. Then he describes the methods used to discover these patterns in real time data flows, primarily applications for consumer products and services (credit cards, retail credit, cell phones, payday loans…). Finally, he shows examples of identity fraud rings operating in the U.S. using anonymized PII ("John Smith”).

Eddie Garcia

Chief Security Architect
Cloudera

Big Data and Cybersecurity, What You Need to Know

Presentation Slides Not Available

Many organizations are using Big Data for uses cases that go from Customer 360, Operational Efficiency to Machine Learning and Advanced Analytics. They are using Big Data to improve revenue, reduce customer churn or provide strategic competitive advantages. Yet in today’s corporate boardroom, the challenges of information security and privacy are coming to the forefront. Recent breaches and sophisticated attacks on organizations are driving new security and privacy laws that organization cannot ignore. It is not surprising that a use case that we see trending is Big Data for Cybersecurity and user behavior analytics.

Alex Vayner

NA Data Science & Analytics Practice Leader
Capgemini

From Prometheus to Musk: Big Data & Future of Mankind

View Presentation Slides Here

 

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

ROUNDTABLE: Big Data Isn’t About the Data – It’s About How to Effectively Generate and Use It

Bring your ideas, needs and issues to the roundtable where together we can generate and share recommendations on how the data is generated, how one uses the data, the infrastructure, linkages, applications, analysis and informatics. Additionally, data sharing, veracity, and its implications will be discussed. The IEEE Big Data Initiative and IEEE Standards Association are partnering to facilitate a discussion around these critical topics.

ROUNDTABLE: How Do We Fill the Rock Star Talent Gap? How Do We Educate Tomorrow’s Rock Stars?

McCombs’ McCombs’ Master of Science in Business Analytics (MSBA) is a 10-month graduate degree program that aims to develop students into quantitatively trained story-tellers who can support informed decision making in a business environment. Housed within one of the nation’s top-tierbusiness schools, the MSBA program instructs students on how to harness vast amounts of “Big Data” and translate it to better businesssuccess. The McCombs MSBA program features award-winning faculty, industry-leading student research, and is consistently ranked within the Top 5 graduate business analytics programs in the country.
 

Afternoon Session: 2:00 p.m. – 5:00 p.m.

 

Josh Greenbaum (Moderator)

Principal
Enterprise Applications Consulting

Going from Hype to Maturity – Surviving and Thriving in the Big Data Journey (Panel)

Ben Coverston, DSE Architect, DataStax

Venkatesh Ravichandran, Director of Customer Success Science, Zilliant

Big Data is moving from hype to reality, but the reality isn’t always as easy or useful as many had hoped. As new concepts like data lakes and predictive analytics emerge, and new opportunities in IoT and other domains continue apace, companies looking at their Big Data opportunities are facing an increasingly complex environment. New technologies, processes, people, and partners are all required to make Big Data a reality, and that much change doesn’t happen with the pull of a switch. This panel will explore the growing complexity and opportunities in Big Data, and provide guidance on how to optimize this journey while minimizing the roadblocks and detours on the way.

 

Bill Franks

Chief Analytics Officer
Teradata

The Analytics Revolution

View Presentation Slides Here

Focus today is shifting from simply capturing big data and discovering new insights with it to operationalizing those insights. The industrial revolution took manufacturing processes from an artisanal practice to a modern technological marvel that is able to manufacture quality items at massive scale. The same type of revolution must happen with analytics and big data. Based on the popular book The Analytics Revolution, this talk will address technological, organizational, and cultural points that must be considered to succeed in making big data actionable and operational.
 

Satyam Priyadarshy

Chief Data Scientist
Halliburton

Innovation in the Oil & Gas Industry Through Big Data, Dark Data and Smart Data

Presentation Slides Not Available

Much innovation is about to happen in the Oil and Gas (O&G) industry due to the convergence of data, hardware and applications, the key factors for Big Data. O&G has thrived on multiple dimensions of Big Data, namely, volume, velocity, and variety depending upon which stream of the industry one considers. At the same time, the industry has created Big Dark Data. While upstream O&G uses first principles and empirical models extensively for operations in areas of exploration, drilling, and production, the industry has not yet leveraged data driven models built on big data. This talk will cover how one can leverage Big Data, Dark Data and Smart Data to maximize return on innovation.
 

Cocktail Reception 5:00 p.m.–6:30 p.m.

 

 

Sponsors

 


           

           

 

Reach the Top Big Data Decision Makers -- Present and Future

Only IEEE Computer Society Attracts the C-Levels, the Top Techs, and the Hands-on Specifiers Who Are Driving This Rapidly Evolving Technology

When you sponsor the Rock Stars of Big Data, you reach a unique audience – a level of decision-makers who don’t attend other symposia.

With an agenda aimed at real-world, business-critical decision makers, and a lineup of experts unequaled at other technology events, the Rock Stars of Big Data is an obvious investment for any organization interested in influencing the future of data technology.

  • Meet this influential group of users and potential users face-to-face
  • Enjoy the highly personal nature of the event to network and enhance your brand
  • Generate leads in a group where every attendee is a prospect
  • Share lunch and cocktails with people you want and need to know
  • Stimulate discussions resulting from the engaging, leading-edge presentations
  • Showcase your products and services in a dynamic, engaged environment

 

Testimonials:
"We are very enthused about all the hot leads and intimate conversations we had with the attendees at the IEEE Rock Star conference. This event was a great opportunity for us because we met the right people  -- the tech decision makers. The quality of the event was excellent for both attendees and vendors. We look forward sponsoring more of IEEE Rock Star events." - Deron E. Tross, Enterprise Account Manager, BAE Systems Applied Intelligence.

"The Rock Star Event generated a lot of great business conversations and was extremely well run. I would recommend the event to anyone looking to attract high quality prospects." -Darin Pendergraft, VP of Marketing, SecureAuth

 

Take advantage of these unique sponsorship opportunities –

Platinum Sponsor 

Gold Sponsor

Silver Sponsor

Panel Speaker Slot

Registration Sponsor

Luncheon Sponsor

Cocktail Reception Sponsor

Lunch Roundtable Sponsor – Bring a current customer and share your company’s big data technology story with a captive audience during lunch.

Table Top

Official Program Advertising

Conference Bag Insert


Sponsorship Contact

For more information and to secure your Big Data sponsorship and/or exhibit space, please contact:
 

Sandy Brown
714-816-2144
 
Helen Scott
714-816-2175

 

Attendee Job Titles

Venue

Hotel Information

Rock Stars of Big Data attendees may secure their hotel reservations by contacting Austin area hotels directly.

 
The following recommended Austin hotels are within walking distance of Brazos Hall. 
 
Hilton Austin Downtown
500 E. 4th St.
Austin, TX
(512) 482-8000
 
The Westin Austin Downtown
310 E 5th St.
Austin, TX
(512) 391-2333
 
Hyatt Place Austin Downtown
211 E 3rd St.
Austin, TX
(512) 476-4440
 
Intercontinental Stephen F Austin Hotel
701 Congress Ave.
Austin, TX
(512) 457-8800
 
Omni Austin Downtown
700 San Jacinto Blvd.
Austin, TX
(512) 476-3700

Attend the Rock Stars of Big Data Conference

Rock Stars of Big Data will be held on November 3rd at Brazos Hall in Austin, Texas.

Brazos Hall is a turn-of-the-century warehouse building at the corner of 4th and Brazos, now converted to Austin's premier event space. With its restored long-leaf pine floors, brick walls and wood rafters, Brazos Hall is a venue unlike any other in the heart of downtown.

Parking
​ - Near​​ Brazos Hall are several parking garages​:​
1)    Premier Parking 508 Brazos St.
2)    Central Parking 401 Congress Ave.
3)    Downtown Austin Parking 301 Congress Ave.

 

 

204 East 4th Street
Austin, TX 78701
Phone:(512) 380-1675

 

 

 

Register

Big Data Badge

Register Now for Rock Stars of Big Data 2016

 

3 November 2016 Austin, TX

IEEE/IEEE Computer Society Member: $329 | SPECIAL DISCOUNT: $79
Non-member: $399 | SPECIAL DISCOUNT: $99
Team: $199 each for groups of three or more | SPECIAL DISCOUNT: $59
Students: $59

Discounts also available for multiple events.