We are often told of the importance of exercise to overall health. Stretching, cardio and strengthening exercises each contributes to maintaining a fit physique.
In the context of healthy data, we also need a range of activities to provide the right data to the right place at the right time – both
In my mind, IBM Watson represented a sentient super computer.
That’s what I thought when I was selected for one of 17 internships among almost 1,400 applicants to work with the IBM Watson team this summer.
I soon realized, however, that IBM Watson represents next-generation analytics technology –
For more information, download the white paper "Managing big data for smart grids and smart meters" or visit www.ibm.com/bigdata
Evolving technologies in the energy and utilities industry, including smart meters and smart grids, can provide companies with unprecedented capabilities for forecasting
As social media tools become more prevalent, those participating in the online conversation become increasingly influential, especially as their opinions travel faster and to a wider group of consumers. The IBM Social Sentiment Index uses analytics and natural language processing technologies to
Customer interactions today are no longer relegated to one-touch passes. Companies have numerous touch-points and are constantly looking for add-on sale opportunities. Car dealerships don’t stop at selling a car–they sell additional warranty, service contracts, insurance and accessories. Customers
We can argue till we’re blue in the face on the issue of whether a true data scientist must have academic credentials. But no one doubts that credentials mean little if you can’t actually do the work.
You can call yourself a data scientist in good conscience only if you can master the methodology.
In this “Talking Big Data” podcast, IBM's product manager of InfoSphere Streams, Roger Rea, spoke with IBM's social media lead for big data, David Pittman, on complex event processing and stream computing, and discussed whether or not these terms are interchangeable.
Rea first dives into defining
“Next best action” is a hot focus area in customer-facing business processes, especially marketing, sales and service. But it has just as great a potential in back-end business processes, and, in fact, ensures that many companies operate smoothly.
Next best action, in the broadest perspective, is
A bus, train or car to work. A bike to school. A plane for a business trip. And even if you don't leave your home, your life is still influenced by the transportation industry: virtually every tangible good—food, clothing, medicine, vehicles, computers—has been transported into your world from
The sheer thought of the data we create and consume today is mind boggling. IBM research shows we create 2.5 quintillion bytes of data every day, and begs for a response to the question–what are we doing with all this data? A recent global survey by Jaspersoft answered this, revealing that the
"Next best action” is a hot focus area under big data, advanced analytics, digital marketing, smarter commerce and other business imperatives. Enterprises have been doing next best action, in various forms, for years. Many companies continue to scale up and build out their next-best-action
Krishnan Parasuraman, CTO of big data, IBM Digital Media, describes the three contextual factors fueling the questions around big data, including the analytic awakening, commodization of technologies, and data availability.
Recently, I was in Nice for a three-day gathering of 150 European IBM Big Data specialists. Looking around the room at the opening plenary made me think how fast the world of big data is moving and how quickly our community is growing.
One of the topics that got discussed a lot–in the breaks and in
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I opened up three new themes–enterprise content warehouse, business process optimization, and big BI–and further developed the established themes of big data's optimal deployment model and
Among healthcare executives interviewed for the 2010 IBM Global CEO study, 90% expect a high or very high level of complexity of data over the next five years, but more than 40% are unprepared to deal with it. The volume, velocity and variety of data are outpacing the ability for healthcare