This is the first in a series of blogs that will explore the role of big data in government.
Government’s huge variety of responsibilities including defense, national security, social programs, taxation, environmental stewardship and much more, both require and generate massive amounts of data. The
It’s difficult to read a banking technology article or go to a conference without hearing about big data. Most of us now believe that big data is more than just hype, that it can offer business benefits to those that can leverage big data into new business capabilities. But a common question I hear
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In Part III we covered how IBM applied those considerations and
For 27 years, at a site bordered to its south by the bank of the Moskva River, a deep hole and sparse foundations spoke of a country whose resources proved insufficient fuel for its leader’s vanity. In 1812, when an early and hard winter forced Napoleon Bonaparte’s army out of Russia, Emperor
I recently returned from Las Vegas where IBM hosted its annual Information On Demand conference with over 12,000 attendees. The theme for the conference was “Think Big,” and the bulk of sessions centered on the way different industries are using big data to improve business results in their
Energy and utility companies face increasing pressure to accurately predict the supply of energy attributable to renewable resources. By factoring in weather and other key variables, utilities can determine their capital investments and where and when to deploy new generation assets. They also seek
I think we all understand that Big Data is a Big Deal. Every day we are hearing and seeing results that others are achieving and are more than intrigued about what is possible.
The entire concept is a breath of fresh air, a significant breakthrough, that helps us efficiently and effectively harness
A Computer Science major, an Information Management major and a Marketing major sit in a classroom in Montana…No, It’s not the beginning of an epic joke; it happens to be a glimpse into the first ever undergraduate IBM InfoSphere Streams course.
The University of Montana, with the help of IBM and
How can we ensure the quality of big data? Big data, in its constant growth, relies on massive volumes of data that come from inconsistent sources, with ambiguous lineage and uncertain data currency. This has created one of the greatest challenges in today's big data environments.
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In this post we will cover how IBM has applied those considerations
This paper defines what big data analytics mean to Communications Service Providers (CSPs), provides an overview of their most valuable uses in telecommunications, outlines what companies must look for as they adopt new big data analytics solutions and discusses how IBM can help.