Last Wednesday, February 26, the Big Data & Analytics Hub, which is where you're reading this post right now, and Business Analytics software at IBM ran a Twitter chat entitled, “Innovations in Analytics" with special guest, Seth Grimes (@sethgrimes). Seth is a leading industry analyst covering
On January 9, 2014 IBM announced that it was forming a new organization (the Watson Group) and investing a billion dollars ($1B!) in future Watson development. The company also announced three new Watson cloud services—The Watson Discovery Advisor, Watson Analytics and IBM Watson Explorer—as well
Cities are temporal rhythms of patterned activity. Just as each community has a distinctive spatial footprint when viewed from space, each has an ambient footprint.
You can sense a city's ambient footprint at a coarse or a fine grain. At coarse granularity, you can sense it at night when the
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
#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,
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
Before you continue reading this blog, take a look at your phone's address book. Do you have the number to your insurance company?
I can confidently say that I have mine properly entered...well, I can say that as of twenty minutes ago.
Look, if I really needed it. I'm sure it's on a policy document