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-...

Why you may never need to become a data scientist

January 15, 2015 | by James Kobielus, Big Data Evangelist, IBM
The democratization of data science is the best thing that has ever happened to this discipline. However, many users may never need to upgrade their skills to the level of a professional data scientist. What you truly need is the ability to tap into continuous, proactive and authoritative insights...

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?

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.

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. 

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.