Conceptually, big data can be difficult for people to understand. If they can't fully understand it, then it's difficult for them to see how it fits into their strategic IT plans. To help explain the concepts behind big data and its place in IT infrastructure, IBM has developed a "Zone Architecture
Databases have been around for decades, but suddenly there’s renewed interest in database technology. Nancy Hensley, director of marketing and strategy for databases and database systems at IBM, joined the show to explain what is happening in the industry to drive this interest. She also described
Cloud computing is gaining momentum, and for good reason. Some people consider it for overall IT cost savings, others are drawn to the promise of reduced capital expense and other people are looking to solve pressing IT issues. Kimberly Madia, product marketing manager for IBM big data, joined us
Sri Viswanath is a master inventor in IBM Big Data & Analytics Open Technologies. He is deeply interested in the renaissance taking place in analytics, building on top of emergence of big data and the development of technology to make it applicable in a wide variety of spaces. Sri joined us
Mark van Rijmenam is founder of BigData-Startups.com, an online resource for big data knowledge. He is a thought leader in area of big data, a frequent speaker at conferences and author of a new book titled “Think Bigger—Developing a Successful Big Data Strategy for Your Business.” Mark talked with
Dr. Charlie Schick, an industry consultant on the IBM big data team focusing on Healthcare & life sciences, joined us to talk about the bioinformatics industry and how pharmaceutical companies and academic research institutions are using big data analytics. He also gave a preview of key
Phil Simon (@PhilSimon) is a frequent speaker and recognized technology expert who consults with companies on how to optimize their use of technology. His contributions have been featured in Harvard Business Review, Inc. Magazine, The New York Times, Wired, The Huffington Post, Fast Company and
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