Industry analysts project that 30% of companies will “monetize their data” by 2016. But what does this mean? Many organizations are trying to figure out how to turn their data into a gold mine. The reality is each business is unique and data monetization projects should be customized to focus on a
The giant NAB Show takes place in Las Vegas April 5-10. IBM will be very active at the show, along with Aspera, a recent IBM acquisition. Graeme Noseworthy, messaging director for media & entertainment at IBM, gave us a brief overview of sessions, demos and activities that will take place.
Roger Rea, product manager of InfoSphere Streams, explains what stream computing is, how it differs from event processing and CEP and gives examples of how companies are employing stream computing for real-time analyses and applications.
Beth Smith is General Manager of IBM’s Information Management Division, which includes database, data warehouse, information integration, master data management, integrated data management & governance and Big Data offerings. In this podcast, she explained Watson Foundations - IBM's big data
Analytics is a key enabler for life sciences and healthcare organizations to create better outcomes for patients, customers and other stakeholders in healthcare. The IBM Institute for Business Value recently released a new study titled “Analytics across the ecosystem - A prescription for optimizing
Since 2003, the IBM Institute for Business Value has conducted more than 23,000 interviews around the world with people representing all roles of the C Suite, including chief officers in finance, marketing, IT and of course, chief executive officers. A newly published report titled “Pushing the
Big Data without analytics is just data, but how do you perform the analytics? Christy Maver, product marketing manager for InfoSphere BigInsights, answers that question and gives examples of how in-Hadoop analytics are changing the game.
For more information about the IBM big data platform and
"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
With the HIMSS conference coming up next week, Sri Shrinivasan, global industry leader of big data for healthcare and life sciences, took 10 minutes to preview some of the key topics to watch for and activities to do at the conference. Sri mentioned some leading healthcare organizations that will
Gregory Piatetsky-Shapiro, the editor and publisher of KDnuggets.com, and a well-known expert in business analytics, data mining and data science, joined David Pittman to talk about that mix and the elusive “data scientist unicorn.”
Through talking with some 3000 clients, prospects and industry leaders, Inhi Cho, the vice president and general manager of Big Data, Integration, & Governance at IBM, and her team have identified 6 important trends that are driving big data forward.
It's been said the "culture eats strategy for lunch." Tom Deutsch, program director of big data & advanced analytics at IBM, joined us to describe MVI—the minimum viable insight—which is an approach to conquering issues within internal culture and dynamics.
Mark Myers, market segment manager for IBM Watson Explorer, says the usual "3 V's" definition of big data is too narrow. "This way of looking at the issue limits big data to a technical challenge and misses what has become the real significance of big data: finding new ways to use data to create
We just came out of the biggest retail season of the year. Holiday sales were reportedly softer than expected. Is this an indication that future retail growth will come from digital channels? Swanie Tolentino, Retail Solutions Leader at IBM, explains why she thinks digital growth will actually help
Hadoop for the Enterprise: Quick. Easy. Free. Get your hands on IBM’s enterprise-grade features to start experimenting with Hadoop today. InfoSphere BigInsights combines the power of Hadoop with enterprise-grade features including visualization & exploration, advanced analytics, and security