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.

Reflections and predictions for stream computing in 2015

December 10, 2014 | by Kimberly Madia, Worldwide Product Marketing Manager, InfoSphere Streams, IBM
Stream computing exploded in 2014 and we’ve got high expectations for 2015. The October 2014 IBM Institute for Business Value report  found that real-time analytics is the leading big data requirement. What’s your prediction for the future of stream computing? 

Why advanced analytics projects are different from traditional IT

December 9, 2014 | by Pavel Abdur-Rahman, Senior Managing Consultant, IBM
To fulfill the promise of analytics, we must put a lot more effort into delivering these projects right, the first time. We must think through each of the traditional success criteria and ask ourselves the burning question: how is delivering analytics different? This starts from gaining executive...

Is 2015 the rise of the machines?

December 9, 2014 | by Tim Moran, Director of Interactive Sales, WNEP-TV /
If I’ve learned one thing in 2014, both through practice and study, it’s that we as humans create data at an astonishing pace. Through advances in technology, each day we create more data than is humanly possible to understand in a single lifetime. The takeaway from this is that we need help! If...

Big Data & Analytics Heroes: Jake Porway

December 9, 2014 | by Natasha Bishop, Big Data Strategy lead, IBM
Jake Porway, founder and executive director of DataKind and this week’s Big Data & Analytics Hero, shares that they’ve found that "cross-sector collaborations between data scientists, managers, designers, foundations, nonprofits and more are critical for really making lasting change.” When we...

The age of data and opportunities

December 5, 2014 | by Aleksandra (Saška) Mojsilovic, IBM Fellow, Data Science Group, IBM Research, IBM
We live in the time of profound technological shifts driven by the ever-increasing availability of data. This post discusses some of the ways data and analytics are impacting our lives; it is also a call to action, to think out of the box and look for new applications and data-driven solutions.

What can marketers learn from a rugby match?

December 5, 2014 | by Sam Seddon, Wimbledon and RFU Client Executive, IBM
The power of social media analytics is in the opportunities it provides and the insights you gain, not the raw data.

From IT drudgery to IT freedom

December 3, 2014 | by Paula Wiles Sigmon, Program Director for InfoSphere Portfolio Marketing
What are the opportunities of data refinement from the IT point of view? Does self-service data refinement devalue IT? Does it simply create more work for IT, cleaning up after business users who have run amuck?