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-...

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?

New year. New Hub.

A fresh way to engage with big data and analytics

January 8, 2015 | by Tara Dunn, Editor, IBM Big Data & Analytics Hub, IBM
The IBM Big Data & Analytics Hub is getting a new look for 2015, and it's all about usability.

Leading organizations use real-time analytics

January 2, 2015 | by Bob Palmer, Global Banking Industry Marketing, Big Data, IBM
In part four of this series we introduced three key stages within the analytics lifecycle to outline how leading organizations are outpacing the competition. In this post, part five, we will explore the first of those stages (Acquire) which provides the ability to acquire and integrate data quickly...

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...

The need for speed in business analytics

December 26, 2014 | by Bob Palmer, Global Banking Industry Marketing, Big Data, IBM
This is part four in a series presenting, in small easily consumable bites, findings and insights from the IBM Institute for Business Value’s latest study and paper - “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace." In part three we...

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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