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by Michael Chui
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.
HPCC Systems from LexisNexis® Risk Solutions offers a proven, data-intensive supercomputing platform designed for the enterprise to solve big data problems. HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single architecture for efficient processing. Customers, such as financial institutions, insurance carriers, insurance companies, law enforcement agencies, federal government and other enterprise-class organizations leverage the HPCC Systems technology through LexisNexis® products and services.
This keynote is sponsored by LexisNexis
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. Just as critical, your users will find all the information far too massive to wade through if you don’t deliver targeted subsets to their tablets, smartphones, and other devices for speedy consumption. In this session, Forrester senior analyst James Kobielus will help you understand how to keep your company’s data as small and nimble as practical while scaling it out into the petabytes.
A critical look at the day’s proceedings
by Frank Mong and Marco Pacelli
Big data analytics is where advanced analytic techniques operate on top of big data sources. Attend this customer session for a brief introduction to EMC Greenplum’s Big Data Analytics platform. Then hear how customers from consumer Internet, financial services and energy are using EMC’s solutions to harness big data for real business advantage – getting closer to their customers, detecting fraud, and turning click stream analysis into a revenue generating stream.
This session is sponsored by EMC Greenplum
Are 80 year old measures of the economy still useful, and can the age of big data offer us better indicators against which to benchmark economic performance?
by Abhishek Mehta, Roy E. Lowrance, Richie Prager and Allen Weinberg
Coming off the worst financial crisis of our generation, an entire industry (and the global economy) is not just rebuilding the very foundations of a robust banking system, but also rethinking the ‘new normal’ for Banking. Data has rapidly emerged as a key lever for this reboot. Hear from some of the leading business practitioners in the industry:
How tectonic shifts driven by Big Data technologies, emerging Business Models, and Macro Socio-Economic conditions is unleashing an unprecedented redesign of the Global Financial System? and Who are the emerging BIg Data players at the forefront of this shift?
by Bill Cook
The most important question to ask about big data is: what’s in it for my organization? Does it create net-new economic value, increase enterprise agility, improve collaboration, or enable new efficiencies? And if so, in which scenarios? What are the implications for people, process and technologies in any given organization?
In this keynote, Bill Cook, President of EMC Greenplum, will provide insight into today’s business opportunity with big data analytics and three key steps to consider as you begin your journey.
This keynote is sponsored by EMC Greenplum
by Edd Dumbill
Startups are in it to make money—whether by breaking even, being acquired, or finding some other exit. But for data-driven startups, turning bits into dollars can be a challenge. There are privacy issues, data ownership concerns, and questions about how to monetize the business. This panel of investors and entrepreneurs will look at strategies for generating money in data-driven startups.
by Marc Goodman
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. Lessons in how organized crime and terrorists are innovatively consuming both illegal and open source data will be presented.
by Tim O'Reilly
At the same time as we’re seeing breakthrough after breakthrough in artificial intelligence, we’re also seeing the fulfillment of the vision of Vannevar Bush, JCR Licklider, and Doug Engelbart that computers could augment human information retrieval and problem solving. AI turned out not to be a matter of developing better algorithms, but of having enough data. The key applications of the web combine machine learning algorithms with techniques for harnessing the collective intelligence of users as captured in massive, interlinked cloud databases. Bit by bit, this is leading us towards a new kind of global brain, in which we have met the AI, and it is us. We and our devices are its senses, our databases are its memory, its habits, and even its dreams. This global brain is still a child, but as its parents, we have a responsibility to think about how best to raise it. What should we be teaching our future augmented selves? How can we make the emerging global consciousness not only more resilient, but more moral?
A look back over Strata Summit, and forward to the future of data.
20th–21st September 2011