Blogs

Simulating customer cognition with or without neuroscience

January 23, 2015 | by James Kobielus, Big Data Evangelist, IBM
Functional simulation, not literal cloning, is the heart of cognitive computing. To understand the cognition of customers or any other human, you should be modeling the higher cognitive, affective and sensory faculties of the mind, not the actual physical components of the brain. Most cognitive-...

Getting the good started

January 14, 2015 | by David Lawson, Co-Founder & CEO, NewSci, LLC.
As exciting as the Big Data for Social Good Challenge is, it is also a little intimidating to think of an idea big enough for big data. In this post, I’ll share some tips to get you going on the Challenge. Just like a term paper, beginning is the key to finishing, so let's get started.

Speed matters: A UK perspective on analytics

January 12, 2015 | by Chris Nott, CTO Big Data & Analytics, IBM UK & Ireland, IBM
UK organizations continue to exploit information to acquire more customers and offer them an improved experience; however, they risk being outpaced by acceleration in delivering insight ready for action in other parts of the world.

Fathoming photos at algorithmic speed

January 9, 2015 | by James Kobielus, Big Data Evangelist, IBM
In this era of big media, more and more digital photos are, by default, being uploaded to the cloud soon after they’re captured. But who has the time and, considering the swelling magnitudes of video and photo contents in the world, where would we ever find enough humans to review, curate and...

How can big data and analytics help your business?

January 9, 2015 | by John Santosuosso, IBM Lab Services Power Systems delivery senior consultant and programmer, IBM
Big data analytics is now such a differentiator that it’s quickly becoming a top corporate priority. How will it change your business?

The big data clock

January 2, 2015 | by Bharat Gera, Development Manager, Big Data. Information Management, IBM
Life was given to us a billion years ago; contrast this with the evolution of big data which has truly existed for less than a decade. Big data has been a defining method to capture all time events and is intrinsic to deciphering intelligence otherwise unavailable to humanity. 

Embracing big data practitioners in 2015

December 31, 2014 | by Kimberly Madia, Worldwide Product Marketing Manager, InfoSphere Streams, IBM
2014 has seen a massive surge of interest in real-time analytics. The ability to sense what’s happening in the world and respond faster than competitors is desirable and, now, possible. 

The power of insight: Delivering on brand promise at the point of interaction

December 30, 2014 | by Prakash Mohapatra, Global Retail Industry Marketing Manager, Big Data & Analytics Category, IBM
Customer Intelligence personalizes consumer experiences, delivers contextual and relevant messages to consumer based on deeper insight of each consumer’s buying behavior, web activity, social media presence and much more. The new business imperative for the retailers today is to use this customer...

Hadoop enables quick responses to changing market conditions for telecommunications

December 30, 2014 | by Avi Patwardhan, Product Marketing Manager
Telecommunications is a necessarily data-driven and capital-intensive business. Mobile network rollouts and the increasing use of mobile devices and social media generate huge amounts of customer and market data. Quick responses to changing market conditions are imperative to remaining competitive.

Patting down the pachyderm: Big data prognostications for 2015

December 23, 2014 | by James Kobielus, Big Data Evangelist, IBM
As 2014 draws to a close, the proverbial elephant that we call big data is smarter, more sensitive and more agile than ever. It’s got a much more varied array of advanced analytics riding on its broad back. More than that, it’s performing these amazing feats as a team player within a growing troop...

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