Big data means more data – from more sources, in more formats. It also involves data that is created at a more rapid pace. All of those factors make it harder to establish context. Where did this data come from? How much do you trust it? What steps were taken to correct, or massage, the data?
In my first post I introduced the idea that most “big data” isn’t really big at all, and doesn’t conform to Gartner’s 3V’s. Instead, I've suggested that there’s benefit in focussing on “broad data”, or the use of many different sources of data to give us richer information. We put forward 4O’s of
As a kid, I used to love playing with puddles of water during rainy days (Unlike the millennials, we Gen-X did live closer to nature, didn’t we?). My favourite game was operating the “marbles cleaning factory.” The factory would get water from the puddle via my hand-constructed stream. It was quite
Technology vendors often tout their "real-time" products - but what does "real time" really mean? And is it what you need? Tom Deutsch compares real time to "customer time," which he says is the more meaningful measure: delivering the performance in the amount of time that it's needed and can be
It seems like a “Back to the Future” moment. Here we are with the IBM InfoSphere Streams v3.2 announcement, the latest version of our product for handling stream computing and complex event processing. Yet 5 years ago this month, we had IBM System S v3.2. Looking back, we had three manuals for
At the start of this year, I had discussed in my blog post “Is Customer the King? In Retail, Analytics Say ‘Yes’,” about how the retail industry can leverage big data insights to optimize and personalize customer interactions, improve customer lifetime value, improve customer retention and
No one really knows if mobile wellness apps will improve health, at least not yet. The market stats certainly indicate the fascination with mobile health apps:
Juniper Research says that by 2016, 3M patients worldwide will be using remote monitoring devices that use a smart phone as a hub to
When weeks of analysis failed to uncover improper payments, the Big Data Analytics engine did it in 4 hours – and led to a $140 million payoff
This large government agency provides both medical and social benefits to a very large group of beneficiaries. It is responsible for
We know data is omnipresent in our world; that’s no secret. By now, most are familiar with the “Vs” of big data – volume, variety, velocity and veracity. Organizations are finding innovative ways to harness big data for competitive advantage. But if you stop and think about it, what we are really
Insurance companies are working to define solutions that support integration across a number of sources to provide a “360-degree view” of producers and policyholders. This single view brings together information about the policy, claims, billing, interaction, risk profiles, agent and agency
Eric Schmidt, Steve Ballmer and Chris Hughes were among the "Mastermind" speakers at Gartner Symposium. Here are the highlights from their jam-packed Q&A sessions:
Chris Hughes: "Facebook was very much a social project"
You're not a coder, you're not a technologist. What appealed to you about
Customer engagement has its roots in the space-time continuum. When you’re a business trying to build bonds of loyalty, experience and influence, you must collapse the distances that make these outcomes difficult to achieve.
Distances between people, places and things matter. People’s proximity—
Scientists from IBM are collaborating with John Hopkins University and University of California, San Francisco to combat illness and infectious diseases in real-time with smarter data tools for public health by applying the latest analytic models, computing technology and mathematical skills on an
When IBM became Roland-Garros's technology partner in 1985, the future looked exciting. Amazingly, the past 28 years have delivered more innovations and more advanced technologies than we could have imagined