On day two of HIMSS14, I had the pleasure of listening to leaders from UPMC, MD Anderson and Amedisys share their stories about how their organizations are turning information into an asset. At the third annual IBM Big Data & Analytics luncheon, attendees from across the healthcare ecosystem
Big data and analytics is creating opportunities for communications service providers (CSPs) to establish new revenue streams. With big data and analytics technology powered by IBM Watson Foundations, CSPs can resolve customer issues faster, at lower cost and identify new offerings that drive
#BigDataMgmt chat – Wednesday, February 26 – 12 p.m. EST & 5 p.m. GMT
We all are aware of it: the volume, speed and velocity with which data is being generated today has reached stratospheric heights with no signs of abating. This vast array of data influences everything from how businesses
Telcos are sitting on a wealth of data with customer interaction data across various channels: call center call recordings, in-store and website visits, social media conversations and more. Customers are telling service providers what to build as new offerings, how to promote them and what
Marketing comes down to demand generation, and that requires at least a rough idea of what makes people tick. In other words, it demands at least a passing familiarity with human psychology (though most of the pop psychology that pervades marketing is laughably shallow and, more often than not,
"A picture is worth 4 kilobytes," says Kirk Borne, Ph.D., (@kirkdborne), in this podcast about data visualization and big data, or as he prefers to call it, “visual analytics.” Kirk is a data scientist, a top big data influencer and a professor of astrophysics and computational science at George
Most organizations are feeling the pressure to move big data initiatives past the discussion phase and toward well-planned projects. To what extent can a complete view of all of the available information help organizations gain deeper insights and make better decisions? Special guest John Mancini
Customers expect more: they expect smart, they expect simple, they expect fast and they expect value. This transcends all industries, and big data is helping enterprises rise to this challenge.
Much time has been spent in recent years talking about why big data is such a technological opportunity.
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Some companies in the media and entertainment industry are monitoring social media and integrating social data with other data to form elaborate predictive analytics models. Graeme Noseworthy (Twitter: @graemeknows) describes how they are doing this and what they've learned along the way, including