Human/Ethical Aspects of Big Data
Big Data in Healthcare: Problems, Progress, and Problems
Michael S. Johnson
Putting Big Data to Work
The Industrial Internet
Building a Data Science Team from Scratch
Imagineering Big Data: How to Bring Rock Star Analysis to Your Company
Enterprise Applications Consulting
Building Big Data Processing Into Your Business
The Fusion of Supercomputing and Big Data
Big Data, Analytics and Watson
Chief Scientist of Software Engineering
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.
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.
Michael S. Johnson
Director, Utility for Care Data Analysis
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.
CTO for the HPC Ecosystem
Approaching Big Data as a Technical Compute Usage Model: What Shall We Do?
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."
Chief Analytics Officer
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.
Director of Algorithms and Analytics
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.
President and Chief Executive Officer
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.
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.
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.
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.