Analytics: How Big Data Can Solve our Most Complex Problems

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Data rates are growing some 40% each year, and the sheer amount of data has outstripped common analytics and staffing levels — creating a serious data analysis gap. To move forward, organizations must transform big data into smart data, which means being able to analyze data on a massive scale and quickly use it to provide deeper insights, create new products, and differentiate services. New data science is built on velocity (fast moving data), variety (different kinds of data), and volume (large amounts of data). This panel will explore what kinds of approaches and analytic tools are now being used and to what end. It will also examine the opportunities, risks, and likely developments the near future holds as analysis helps us transform the commodities of big data into valuable smart data.
Drake Baer
Robert Schukai
Don Tapscott
Guruduth Banavar
Bill Thoet, Moderator

Comments

Filipe Farinha (ktorn) says:

Very good panel on #bigdata .
The moderator clearly wanted the panel to avoid touching the issue of privacy, which is understandable but I think it could have been made more explicit at the very begining of the session.

Mathieu Tendron says:

Aspen Institute

Daniel Wentzel says:

A very informative panel discussion.

Dennis Snyder says:

I would rather listen to the Band "Big Data"  play Dangerous with Alan Wilkis, Lizy Ryan, Gunthar Olsen, and that fantastic Bass player 

Partha Gogoi says:

There is one name missing from this list – what is the IBM guy's name?

Jung Kim says:

Data rates are growing some 40% each year, and the sheer amount of data has outstripped common analytics and staffing levels — creating a serious data analysis gap. To move forward, organizations must transform big data into smart data, which means being able to analyze data on a massive scale and quickly use it to provide deeper insights, create new products, and differentiate services. New data science is built on velocity (fast moving data), variety (different kinds of data), and volume (large amounts of data). This panel will explore what kinds of approaches and analytic tools are now being used and to what end. It will also examine the opportunities, risks, and likely developments the near future holds as analysis helps us transform the commodities of big data into valuable smart data.

Chetan Khatri says:

Which companies in India Works on Big Data ? 

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