Analytics: How Big Data Can Solve our Most Complex Problems

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

[RohitChouhan-djse]

THANKS FOR THE QUALITY VIDEO

MINE OF INFORMATION

[harishgupta_tondepu]

+Guruduth Banavar
You are amazing through out the discussion..
loved your examples..

[shaileshpandey]

+Guruduth Banavar
Hi Guru,
I had just started my career 1 year back as a software engineer and wants to dig deep into the Data things. Whats the best way or how i can move forward in this filed ??

[parthagogoi]

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

[dennissnyder]

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

[unusualtechy]

Which companies in India Works on Big Data ? 

[MichaelAlexander]

Seems like an invasion of privacy to me.