Blogs

Machine learning molds the material world

December 18, 2014 | by James Kobielus, Big Data Evangelist, IBM
Computational modeling has revolutionized all branches of the physical sciences, engineering and design. Leading-edge work in these fields is pushing new computational frontiers at nano scales. Computation-centric methods allow researchers to model, simulate and assess a much wider array of options...

Organizations are transforming business processes by integrating digital capabilities

December 18, 2014 | by Bob Palmer, Global Banking Industry Marketing, Big Data, IBM
Let's explore in more detail the final two shifts highlighted in the new IBM Analytics study, “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace," including the transformation of business processes with digital capabilities.

The data behind the ALS Ice Bucket Challenge

December 18, 2014 | by Jay Goulart, Founder and chief data artist, NewSci, LLC
This past summer we witnessed an incredible phenomenon seemingly capturing the world by storm: The ALS Ice Bucket Challenge. Facebook estimates 28 million people posted about ALS between June 1 and August 28, including comments and tags. 2.4 million videos also were created on YouTube, spreading...

Big data for business in 2015

December 16, 2014 | by William McKnight, President, McKnight Consulting Group
The competitive landscape in business has been data. But what's changing in 2015?

Big Data & Analytics Heroes: David M. Lawson

December 16, 2014 | by Natasha Bishop, Big Data Strategy lead, IBM
“As you dig deeper into unstructured data where feelings, emotions and other often messy information reside, you have to embrace qualitative metrics which don’t fit neatly into traditional quantitative analysis,” says David M. Lawson, co-founder & CEO of NewSci, LLC and this week’s Big Data...

Harnessing and protecting big data for financial services

December 15, 2014 | by Avi Patwardhan, Product Marketing Manager
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and...

Closing the web app data security gap

Dynamic data masking for web applications

December 15, 2014 | by Eva Maria Andreoulas, Demand Programs Professional, IBM
The rigidity of web application security controls have left companies vulnerable to data breach. How can companies ensure they aren’t leaving themselves open to attack while maintaining secure web application data to protect privacy and support compliance?

How Hadoop is changing energy and utilities

December 12, 2014 | by Avi Patwardhan, Product Marketing Manager
Today, energy and utility companies are relying on Hadoop to help curb energy consumption, reduce energy loss and add more clean power to the grid. Using big data and analytics, organizations can empower users to understand their energy usage and give them the chance to reduce how much they use and...

Big data and the power of positive curation

December 11, 2014 | by James Kobielus, Big Data Evangelist, IBM
Curation addresses a purpose that stewardship never has in the data analytic governance context. Whereas stewardship refers to data’s trustworthiness, curation addresses the quality criterion of relevance. Consequently, curators might be regarded as being responsible for a “single version of what’s...

2015: The year of the “I” in “IT”

December 11, 2014 | by John Mancini, President, AIIM
Organizations of all sizes are struggling with how to extract insight and mitigate risk relative to the massive volumes of information and data that they are accumulating, including dark data.