Strata Summit Speaker Slides & Video
Presentation slides will be made available after the session has concluded and the speaker has given us the files. Check back if you don't see the file you're looking for—it might be available later! (However, please note some speakers choose not to share their presentations.) Also, check out the presentation files from the 2011 California edition of Strata.
Too often analytics are seen as a black box by executives. JC Herz explores how to demystify the process and make analytics business-driven vs. technology-driven.
Aneesh Chopra, the US Federal Chief Technology Officer, and deputy CTO Chris Vein, in conversation with Tim O'Reilly, founder and CEO, O'Reilly Media.
Big Data can become an unmanageable business burden if you’re not careful. As your company’s analytics initiatives rapidly grow, you’re going to max out your IT budget if you don’t keep the data as compact, compressed, and storage-efficient as possible. This session will help you understand how to keep your company’s data as small and nimble as practical while scaling it out into the petabytes.
McKinsey's influential Big Data report has helped define and explain the opportunity created by the torrent of data flowing daily through business. Michael Chui outlines the big picture of data innovation, challenges and competitive advantage.
Data increasingly drives news reporting, and the Guardian has been at the front of this change. Simon Rogers, editor of the Guardian's award-winning Datablog, will talk about how data is directing its coverage.
As they saying goes, "If you're not paying for a product, then you're
the product." But the world is a better place when human beings are
enlisted as sensors -- as distributed mechanisms for mapping,
understanding, and connecting the world and the data it generates -- and
not treated as barcodes, mere bits of data to be read, logged and analyzed.
This keynote is sponsored by GE. More information coming soon.
As the world of data expands, the challenge of understanding it expands as well. Narrative Science is addressing this challenge with a software platform that uses data to drive the generation of compelling narratives that tell the stories contained within it. The technology tells the stories that are hidden in the numbers.
A case study on how LexisNexis HPCC Systems detected potential health care fraud and collusion for a major health care organization.
When it comes to big data insights, how do you know you’re asking the right questions? Hiring data scientists is a good start - we’re seeing their growth both on LinkedIn and at LinkedIn. But even data scientists are not immune from the myriad of hidden pitfalls that keep your key insights out of sight.
How does one take thousands of data domains, and tens of thousands of models
and algorithms, and make it so that anyone can get answers to their natural
Stephen Wolfram, the creator of Wolfram|Alpha and Mathematica, will describe
how this works in Wolfram|Alpha and what the paradigm of computational
knowledge is now making possible.
Mr. Escalante will cover how to streamline IT operations (eliminating mainframes, grids) and analyzing large volumes of data with HPCC Systems.
By using social media metrics, TV networks can now get ratings for their programs in real time.
Digital media publishers sit astride torrents of data about their content, audiences and advertisers. Every day, the world's two billion internet users visit millions of pages, and are exposed to more than one hundred billion online advertising impressions. Publishers of digital content need to crunch this data to predict who will visit tomorrow, and how to price the ads those visitors see.
Personal data is a an exploding asset class that is currently not being leveraged to inform public policy decisions or mitigate risk. This panel, sponsored by United Nations Global Pulse, will examine the value of private sector data and consider some of the challenges inherent its use.
The winning entries and Best in Show winner are showcased for Strata Vizathlon, a data visualization contest produced in partnership with Juice Analytics.
While businesses around the world struggle to understand the how to profit from the information revolution, one class of enterprise has successfully mastered the challenge—international organized crime. Globally crime groups are rapidly transforming themselves into consumers of big data.
Today's high tech industries are fast-paced, with value created and destroyed at speed. Data can help where traditional intelligence approaches are expensive and slow.
There's never been a better time to reconsider transparency and talk about strategic leaking. In this talk, Michael Nelson—whose career has taken him from the White House to the boardrooms of the Fortune 500—looks at the naked corporation and what information can do when it flows intentionally between companies and their ecosystems.
People correctly assume that in order to profit from big data, you have to acquire the data. We look at some cases of profiting from exploiting innovative ways of acquiring data.
The time has come for policymakers to begin using innovative technologies to analyze data exhaust, in order to protect communities from multiple slow-onset crises that threaten to reverse hard-won progress in human development.
This session sponsored by Aster Data.