Managing Big Data

Hear how Google, Netflix, Kaiser, Intel, GE, IBM and others unleashed the power of Big Data.

October 29, 2013 - Mountain View, California


 

Rock Stars of Big Data a Success

Event Returns to Silicon Valley Next Year with Focus on Data Analytics

Rock Stars of Big Data at the Computer History Museum on October 29 was a sold-out event, attracting more than 325 attendees, nine speakers, and nine sponsors. Presentations from industry speakers covered the ethics, logistics, and challenges of big data, as well as future opportunities.

Participants came from a variety of sectors, including computing, telecom, retail, and entertainment. Among the companies represented were: Amazon, Bank of America, Broadcom, China Mobile USA, Cisco, Cray, Ericsson, Fujitsu, GE Software, Google, Hewlett-Packard, Hitachi, IBM, Intel, Microsoft, Qualcomm, Siemens, Sony, VMware, and Wells Fargo.

 

Featuring big data experts from Google, Netflix, IBM, Kaiser Permanente, GE Software, and other companies, Rock Stars of Big Data was intended to empower attendees to understand the potential for big data in their business, create a big data culture, make big data projects succeed, and use big data analytics to make the right decisions.

Among the sponsors were Cray Inc., GE Software, AMAX, FairCom, Aerospike, and Mark Logic. View presentations and video from the action-packed day.

speakers


Stephen Brodsky
Brodsky
Grady Booch
Booch
 
Joshua Greenbaum
Greenbaum
Bill Franks
Franks
 
Chris Pouliot
Pouliot
Michael S. Johnson
Johnson
 
Mark Seager, Ph.D.n
Seager
William Ruh
Ruh
 
Peter Ungaro
Ungaro
Dan Sturman, Ph.D.
Sturman
 

Grady Booch

Chief Scientist of Software Engineering
IBM Research

Grady is recognized internationally for improving the art and the science of software development and is creating a major transmedia project for broadcast, titled "Computing: The Human Experience." Grady served as architect and architectural mentor for numerous complex software-intensive systems around the world. The author of six best-selling books and several hundred articles on computing, Grady has lectured on topics as diverse as software methodology and the morality of computing. He is an IBM Fellow, an ACM Fellow, an IEEE Fellow, a World Technology Network Fellow, and a Software Development Forum Visionary.

Stephen Brodsky

Technical Executive and Distinguished Engineer
Big Data Initiatives - IBM Silicon Valley Lab

Stephen is a Technical Executive and Distinguished Engineer for IBM Big Data initiatives at the IBM Silicon Valley Laboratory. Stephen is one of the leaders of IBM's Big Data Platform, which integrates large scale information processing, including Hadoop map-reduce, streams, database, web servers, indexing, analytics, ETL, modeling, and traceability for structured, semi-structured, and unstructured information. Previously Stephen led the architecture for the Optim Data Studio product line and pureQuery and was a member of the architecture team for DB2 pureXML, Rational Application Developer (RAD), and WebSphere. Dr. Brodsky has filed over 40 patent applications.

Bill Franks

Chief Analytics Officer
Teradata

Bill provides insight on trends in the analytics and big data space helping clients understand how Teradata and its analytic partners can support their needs. Bill is also a faculty member of the International Institute for Analytics and author of the book Taming The Big Data Tidal Wave (John Wiley & Sons). Bill focuses on translating complex analytics into terms that business users can understand and helping organizations implement the results effectively. His work has spanned clients from Fortune 100 companies to small nonprofit organizations.

Joshua Greenbaum

Principal
Enterprise Applications 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.

Michael S. Johnson

Director of Utility for Care Data Analysis
Kaiser Permanente

Since 2005, Michael has led Kaiser Permanente's Utility for Care Data Analysis, a national team that serves as a focal point for the clinical data development and analytics that drive practice and process improvement, planning, and research across all KP regions. The UCDA's work supports both internal needs and external communications regarding the quality of the care that KP delivers, the value of KP's integrated model, and the community benefit that KP creates.

Chris Pouliot

Director of Algorithms & Analytics
Netflix

Chris created, hired, and leads a team of Data Scientists. They help add statistical firepower to some of Netflix's more complex analyses (for example demand prediction for how much a movie will be watched to help Netflix's content buyers understand the value of a movie), and assist in algorithmic development for better personalization (for example movie similars, user clustering, and movie ranking). Chris is also an adviser to venture funded startups, including Bonobos, Plum District, and Mahoot.

William Ruh

Vice President
GE Software

William sets and leads the software services and solutions portfolio strategy, development, and operations across all of GE Software. His team develops software to power the Industrial Internet. These systems and solutions put data to work for GE Software's customers, giving businesses intelligent insight to make more sustainable and safe products. Mr. Ruh has extensive experience in enterprise application integration and object oriented technology. He is an accomplished author and a frequent speaker on such topics as emerging business models, cloud computing, analytics, mobile computing, agile development, large-scale distributed systems, and m2m communications.

Mark Seager, Ph.D.

CTO for the HPC Ecosystem
Intel

Mark leads the HPC strategy for Intel's High Performance Computing division. He is working on an ecosystem approach to develop and build HPC systems for Exascale and new storage paradigms Big Data systems. Mark managed the Platforms portion of the Advanced Simulation and Computing (ASC) program at Lawrence Livermore National Laboratory (LLNL) and successfully developed with industry partners and deployed the five generations of TOP1 systems. In addition, Mark developed the LLNL Linux strategy and award winning industry partnerships in storage and Linux systems developments. He has won numerous awards including the prestigious Edward Teller Award for "Major Contributions to the State-of-the-Art in High Performance Computing."

Dan Sturman, Ph.D.

Engineering Director
Google

Dan leads the cluster management team in developing the internal cloud platform supporting all Google applications. This software enables deployment and management of large-scale distributed workloads over a global compute infrastructure. Prior to leading the cluster management team, Daniel led a team working across cluster, storage, and networking infrastructure as part of the growth of Google's New York engineering team.

Peter Ungaro

President and Chief Executive Officer
Cray Inc.

Peter is President and CEO of Cray, a leader in the supercomputing marketplace. Peter was named CEO of the Year for 2006 by Seattle Business Monthly magazine for his leadership in turning around the company and one of the "40 under 40" by Corporate Leader Magazine in 2008. He has was appointed to the Department of Commerce's Manufacturing Council and served from 2010 to 2012. The Council advises the Secretary of Commerce on matters relating to the competitiveness of the manufacturing sector and government policies and programs that affect U.S. manufacturers.

agenda


Grady Booch

Chief Scientist of Software Engineering
IBM Research

Human/Ethical Aspects of Big Data

The raw information that forms Big Data is morally neutral. The process by which we collect data, the means whereby we analyze it, and the ways we act upon that information are all activities that have very real and very human consequences. In this talk, we'll examine the ways in which the technology of Big Data and the human implications of it must co-evolve.

Michael S. Johnson

Director, Utility for Care Data Analysis
Kaiser Permanente

Big Data in Healthcare: Problems, Progress, and Promise

The power of big data analytics has been convincingly demonstrated in settings where abundant data, unfettered experimentation, and tight feedback loops foster the generation and refinement of actionable insights. In healthcare, there are complexities, consequences, and constraints that pose challenges for the big data paradigm defined by early adopters. This presentation will outline these challenges, articulate an approach to identifying promising opportunities in healthcare, describe a number of current initiatives at Kaiser Permanente, and wrap up with some thoughts about the future of big data analytics in healthcare.
 

Bill Franks

Chief Analytics Officer
Teradata

Putting Big Data to Work

Based on content from the popular book Taming The Big Data Tidal Wave, this talk will focus on what organizations need to focus upon to get started with Big Data and to make Big Data work for them. The talk will cover key points to address in a Big Data strategy, some common pitfalls, and some success stories.

William Ruh

Vice President
GE Software

The Emerging Industrial Internet

The industrial world is undergoing a seismic shift in productivity and efficiency as machines become increasingly intelligent. The resulting Industrial Internet will have the same transformative effect as the consumer Internet, bringing about intelligence through innovative sensor technology, machine-to-machine connectivity, new approaches to automation, and software that gives insight to people in real-time. This seismic shift, what one venture capitalist has dubbed "software eating the world," will require companies to make strategic decisions on capturing this increasingly valuable part of the value-chain. Companies in the automotive industry are doing this already by capturing the software value inherent in the transformation of today's vehicles into entertainment, navigation, and social systems. Companies that want to win and survive in today's economy must ask if it makes more sense to focus on existing products and business models or create new integrated hardware/software solutions and services. This talk will explore the notion of the Industrial Internet, emerging business opportunities, and GE's strategic decision to focus on software and analytic-based services.
 

Mark Seager

CTO for the HPC Ecosystem
Intel

Approaching Big Data as a Technical Compute Usage Model: What Shall We Do?s

Mark leads the HPC strategy for Intel's High Performance Computing division. He is working on an ecosystem approach to develop and build HPC systems for Exascale and new storage paradigms Big Data systems. Mark managed the Platforms portion of the Advanced Simulation and Computing (ASC) program at Lawrence Livermore National Laboratory (LLNL) and successfully developed with industry partners and deployed the five generations of TOP1 systems. In addition, Mark developed the LLNL Linux strategy and award winning industry partnerships in storage and Linux systems developments. He has won numerous awards including the prestigious Edward Teller Award for "Major Contributions to the State-of-the-Art in High Performance Computing."

Chris Pouliot

Director of Algorithms and Analytics
Netflix

Building a Data Science Team from Scratch

Netflix's analytical leader shares his experience building a large team of data scientists at Netflix. He formed a central, horizontal team for the company, which spans across all business verticals. Chris shares many interesting insights and stories, covering pitfalls and successes experienced as he built the team, as well as the great successes and positive impact at Netflix achieved.
 

Joshua Greenbaum

Principal
Enterprise Applications Consulting

Imagineering Big Data: How to Bring Rock Star Analysis to Your Company

As Big Data software and hardware vendors continue to close technical gaps for Big Data, the looming problem for most companies isn't about which technology solutions are best for their Big Data analysis. Rather, the question is how to understand the possibilities that lie inside the mountain of available data and unleash the potential of Big Data in the organization. This discussion will use examples from Big Data case studies to provide guidelines on how to turn your employees into data scientists, and your Big Data analyses into great decisions.

Dan Sturman

Engineering Director
Google

Building Big Data Processing Into Your Business

Google's new cloud platform provides software developers from startups to academics to Fortune 100 companies the ability to host their software applications on the company's infrastructure. This talk examines the benefits of that platform for Big Data applications, discusses innovations available to users, and looks at practical industry applications through several customer case studies.
 

Peter Ungaro

President and Chief Executive Officer
Cray

The Fusion of Supercomputing and Big Data

Supercomputing technologies have been around for decades, flexing and changing to meet new challenges. This presentation will discuss the impact that supercomputing is having on Big Data, and how Big Data is also impacting the world of supercomputing going forward.

Stephen Brodsky

Technical Executive and Distinguished Engineer for IBM Big Data initiatives
IBM Silicon Valley Laboratory

Big Data, Analytics and Watson

Big Data technologies are opening new insights from data in areas as diverse as green energy, healthcare, and financial services. IBM is combining Big Data with Watson to bring Big Data into the mainstream with new deep question-and-answer capabilities based on natural language processing, evidence evaluation, and machine learning.
 

sponsors


Amax
GE Software
Faircom
Aerospike
Cray Inc.
MarkLogic
 
 
 
 
 

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