Blogs

Data masking factories for the big data era

January 28, 2015 | by Praveenkumar Hosangadi
There is a growing trend among larger companies to develop mature and repeatable processes. One such growing trend is the use of data masking factories where repetitive processes are executed as a centralized service for large numbers of applications.

Landing your big data on cloud without compromising security

January 27, 2015 | by Amy Xu, IBM Senior Solution Architect, IBM
As enterprise data centers continue to process more and more information, many organizations are considering cloud-based storage resources but have concerns about the security risks of such a move.

Extending the power of R to everyone

January 26, 2015 | by Mikhail Lakirovich, Product Marketing Manager, IBM
Learn how Predictive Extensions for IBM SPSS Modeler enables users to leverage the power of R with a simple download and connection to their SPSS Modeler stream.

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.