This week we’re in New York City for IBM’s Smarter Analytics Leadership Summit where we are gathering with industry leaders to share insights on how they are working with IBM to leverage the explosion in big data and power intelligence to drive transformation in their organizations.
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In this series of videos Andrea Ames explores the capabilities of IBM's Accelerator for Machine Data Analytics, a collection of Big Data applications used to analyze log files and machine data. In part 3 of this 5 part series, Andrea shows you how to index and search the extracted information to
In this series of videos Andrea Ames explores the capabilities of IBM's Accelerator for Machine Data Analytics, a collection of Big Data applications used to analyze log files and machine data. In part 2 of this 5 part series, Andrea demos how you extract important information from the incoming log
In this series of videos Andrea Ames, an IBM Senior Technical Staff Member, explores the capabilities of IBM's Accelerator for Machine Data Analytics, a collection of Big Data applications used to analyze log files and machine data. In part 1 of this 5 part series, Andrea introduces the accelerator
Big data and analytics are playing an increasingly large role in enhancing the customer experience. In this video discussion, data scientist, analyst and author Bob E. Hayes, Ph.D., and Stacy Leidwinger, product manager for the IBM InfoSphere Data Explorer product line within IBM’s big data
Michele Chambers, co-author of "Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Business," talks about the market and technology factors that make now the prime time for big data analytics.
Big Data. It’s everything from machine data from sensors to social media, audio and video, transactions, and enterprise content. We’re all trying to figure out what it means and how to leverage it to better understand our customers and drive change in our organizations.
So what’s the answer?
Graph analysis is all the rage these days, and not just among data scientists. It's not a new discipline, but, to the larger business and consumer public over the past few years, it has seemingly come out of nowhere.
Graph analysis is, at heart, a mathematical approach for mapping complex
Conversations around big data are shifting from "what is big data?" to "what can I do with big data?" Five key use cases have emerged that hold high potential value for many organizations. Eric Sall, vice president of product marketing at IBM, describes those high-value uses for big data. For
Do you make decisions based on facts? Get your facts straight with enterprise health analytics and big data.
Massive change is sweeping the healthcare industry. To be sustainable, healthcare organizations (payers, providers, and drug and device manufacturers) must be unrelenting about achieving
Rising costs, chronic illness, an aging population and a shortage of professionals are forcing massive changes in the healthcare industry. To gain insight into how they can improve service while reducing costs, healthcare payers and providers are turning to data and analytics. Leading organizations
A key big data problem for business is one of linking up their disparate data silos with customer feedback data in order to identify the correlates of customer satisfaction and loyalty. By linking these sources, companies will be able to ask and answer bigger customer experience questions, embed