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Net Futures

Ginormous Systems

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GINORMOUS SYSTEMS
April 30–May 1, 2013
Washington, D.C.

DOUG LENAT PREVIEWS THE CONFERENCE
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Library Selection
Antifragile: Things That Gain from Disorder by Nassim Nicholas Taleb

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overview


Topics include:
• Systems of systems
• Leveraging huge data spaces
• Instinct vs. wisdom
• Interacting with data
• System architectures
• Big iron's future
• Verifying data
• Out-of-control systems
• High-performance computing and networks

conference overview
Systems are expanding … from big to ginormous. They collect, analyze, represent, and model wide swaths of data. They help us understand and decide in near real time and are being adopted across myriad organizations because they are cheap and powerful. From smart cities to epidemiology, from manufacturing to banking, we'll examine really huge systems and big data technologies as more than a near-term phenomenon.

We seem to be creating systems and applications in which no one is in charge; how should we think about and plan for this? Is a scenario where everything becomes measured by machines sustainable? Will ginormous systems be able to monitor enough at an acceptable level to suit our needs? When everything is huge and interconnected, what will be the effect on organizational identity, borders, data, information, intellectual capital, IP protection, and ownership? What happens when even the systems' governance becomes automated?

Dealing with big data isn't merely about data volume; it has more to do with managing. Data is increasingly dispersed, diversely structured, event-based, and entangled with tough privacy, security, ownership, and cleanliness concerns. What's the best way to increase the interoperability of the knowledge and data that are accumulating? As organizations try to leverage the large data spaces to which they have access, we'll look to even more automated mass-production methods such as text mining (of unstructured sources) and data mining (of structured sources). Will the change in scale to ginormous systems move our organizations to rely on automatically inferred programs?

Complex systems can break in complex ways. Modern hardware and software have made it virtually impossible to identify flaws and vulnerabilities in systems ensuring that they are secure and trustworthy. Although major software failures occur infrequently, their effect can be catastrophic. How will we manage and tame ginormous systems that might grow beyond our current imagination?


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Partial list of speakers

Mr. Alok Batra, Chief Technology Officer and Chief Architect, GE Software and Analytics Center
Dr. Andreas Bechtolsheim, Founder, Chief Development Officer, and Chairman, Arista Networks
Dr. William Ditto, Chief Technology Officer, ChaoLogix
Dr. Garth Gibson, Co-Founder and Chief Scientist, Panasas
Dr. Vida Ilderem, Vice President, Intel Labs
Dr. Dennis McBride, Associate Vice President, Research, George Mason University
Dr. Bernard Meyerson, IBM Fellow and Vice President, Innovation, IBM
Dr. Michael Miller, Co-Founder and Chief Scientist, Cloudant
Dr. Michael Mitzenmacher, Area Dean for Computer Science, Harvard University
Dr. Roberto Rigobon, Professor of Applied Economics, MIT Sloan School of Management
Mr. Rick Smolan, Co-Founder, America 24/7 and Day in the Life photography series
Dr. Michael Stonebraker, Co-Founder and Chief Technical Officer, VoltDB
Dr. Daniel Tunkelang, Head of Query Understanding, LinkedIn
Dr. Katherine Yelick, Associate Lab Director, Computing Sciences, Lawrence Berkeley National Laboratory

Conference Schedule
Monday, April 29: 6:00 pm, First Timers Pre-Reception Welcome
6:30 pm, Reception/Dinner (7:00 pm)
Tuesday, April 30: 8:30 am–5:00 pm, Conference Day 1
6:30 pm, Reception/Dinner (7:00 pm)
Wednesday, May 1: 8:30 am–4:00 pm, Conference Day 2

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