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How to get smarter about Big Data: 5 suggestions from Jeff Joan of IBM

How to get smarter about Big Data: 5 suggestions from Jeff Joan of IBM | Marketing | Scoop.it

Ever wonder how Las Vegas casinos catch card-counting teams at Blackjack tables, like the MIT team immortalized in the film “21” with Kevin Spacey? They use many techniques, some of which are confidential, but one we know about is their use of Entity Analytics on many intersecting streams of information about their patrons or potential employees.


Via Luca Naso
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Luca Naso's curator insight, August 5, 2013 9:39 AM

 

1. Integrate your analytics stovepipes (put all data in the same pool)

2. Integrate real-time and batch analytics for deeper insight (real-time is King, but also Kings need suggestions)
3. Don’t be afraid of real-time (real-time may not cost more)
4. You need the right people to gain these insights (prefer curious people, aka Big Brains, to guru programmers)
5. Beware the privacy and regulatory implications of integrating analytics

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IBM Buys Israel/US Cybersecurity Specialist Trusteer For $800M-$1 ...

IBM Buys Israel/US Cybersecurity Specialist Trusteer For $800M-$1 ... | Marketing | Scoop.it
Another exit for an Israeli enterprise startup and a deeper move into Israel by one of the world's tech titans: IBM today announced the acquisition of Tr..
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Rescooped by GREGOR SIDERIS from Surfing the Broadband Bit Stream
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IBM devises software for its experimental brain-like chips | NetworkWorld.com

IBM devises software for its experimental brain-like chips | NetworkWorld.com | Marketing | Scoop.it

Following up on work commissioned by the U.S. Defense Advanced Research Projects Agency (DARPA), IBM has developed a programming paradigm, and associated simulator and basic software library, for its experimental SyNAPSE processor.

 

The work suggests the processors could be used for extremely low-power yet computationally powerful sensor systems.

 

"Our end goal is to create a brain in a box," said Dharmendra Modha, and IBM Research senior manager who is the principal investigator for the project. With this technology, systems could one day be built that would "mimic the brain's ability for perception, action and cognition," he said.

 

The work is a continuation of a DARPA project to design a system that replicates the way a human processes information.

 

DARPA's original goal for the Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) project was to design computational devices comprised of billions of tiny processor cores packed into the volume of a two-liter bottle that used less energy than a light bulb.

 

At The International Joint Conference on Neural Networks this week in Dallas, IBM is demonstrating the third phase of the project, which thus far DARPA has funded with approximately US$53 million. IBM is working with Cornell University and iniLabs, and has collaborated with six other universities and a number of government supercomputing facilities as well.

 

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Via Chuck Sherwood, Senior Associate, TeleDimensions, Inc
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