Brightest Minds in Big Data Will Converge at GigaOM’s Structure:Data 2013

Leaders from Amazon, Central Intelligence Agency, Cloudera, Facebook, IBM, Jive Software, Kabbage, Quid and more to speak at two-day conference.

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One of the great things about Structure:Data is that we bring in CTOs from customer companies who are defining how we use big data tools. ... They’re shaping the future of the market. - Derrick Harris, senior writer for GigaOM and chair of Structure:Data

San Francisco, CA (PRWEB) January 09, 2013

GigaOM, a global technology media company, will host its third annual Structure:Data conference on March 20-21 in New York City. Technologists, entrepreneurs and investors will take the stage to share their secrets for turning mass amounts of data into actionable information to create a competitive advantage.

More than 700 data scientists, business leaders and investors will converge at Structure:Data to learn more about the business opportunities emerging in big data over the next 18 to 24 months. Key themes include:

  • Scaling Machine Learning in the Cloud - Machine learning is difficult and scaling it is even harder. Scientists who have done it will explain the lessons learned.
  • Personalization v. Privacy - Every day, people willingly provide their personal data. There is no oversight, no ethics and little regard for guidelines. What gives? Money or ethics?
  • The Hadoop of Plenty - Even though data seems to be everywhere, the market is still in its infancy. The challenges will become bigger and more complex, and many of the solutions will be enabled by Hadoop’s hits and misses.

“One of the great things about Structure:Data is that we bring in CTOs from customer companies who are defining how we use big data tools,” explains Derrick Harris, senior writer for GigaOM and chair of Structure:Data. “These folks have seen success and failure, they know what works, and they’re shaping the future of the market.”

Confirmed speakers include:

  • Ira "Gus" Hunt, CTO, Central Intelligence Agency (CIA)
  • Matt Wood, principal data scientist, Amazon Web Services
  • Karim Lakhani, associate professor, Harvard Business School; principal investigator,
  • Harvard-NASA Tournament Laboratory
  • Heather Marquez, manager, Asset Strategy and Optimization, Facebook
  • Phil Francisco, vice president, Big Data Product Management, IBM
  • Sean Gourley, CTO, Quid
  • David Gutelius, chief social scientist, Jive Software
  • Jeff Hammerbacher, co-founder and chief scientist, Cloudera
  • Ken Chahine, senior vice president and general manager, DNA, Ancestry.com
  • Michael Driscoll, CEO, Metamarkets
  • Robert Frohwein, CEO, Kabbage
  • Denise Hatzidakis, CTO, Premier Healthcare Alliance
  • Robert Jenkins, co-founder and CTO, CloudSigma
  • Douglas Merrill, founder and CEO, ZestFinance
  • Todd Papaioannou, founder and CEO, Continuuity
  • DJ Patil, data scientist in residence, Greylock Partners
  • Vipul Sharma, director of data engineering, Eventbrite
  • Amaya Souarez, director, Datacenter Services, Microsoft

See the full list of speakers and sessions here. Discounted earlybird tickets for Structure:Data are available through January 18. Follow @GigaOM on Twitter (#dataconf) to stay up to date as new speakers and sessions are announced.

Some of the most influential companies in data have already lined up to sponsor Structure:Data, and sponsorships are expected to sell out early. Contact Mike Sly at eventsales(at)gigaom(dot)com or (415) 235-0358 to learn more about sponsorship and exhibition opportunities.

About GigaOM
Founded in 2006, GigaOM has grown into the leading independent voice on emerging technologies and the disruption of media. The GigaOM news network’s online audience of 5.5 million monthly unique readers relies on its definitive coverage of cloud, mobile, cleantech, consumer web and media. GigaOM Research offers the highest quality research and analysis of emerging technology markets and the companies making a difference in those sectors. GigaOM Events bring together the people innovating, shaping and defining the ongoing evolution of the technology industry.


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