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.
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
In giving us a look at the big data market and use cases within the Middle East and Africa region, Ali reminds us of the 5000-year history behind big data, which effectively was born in Mesopotamia. In more present day scenarios, he describes “an exploratory curiosity sandbox,” which is a method he
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
What is the "connected car"? How will we, as everyday drivers, benefit from it? How are trucking companies, fleet managers and insurance companies using the data from connected cars to save money and improve efficiency? Kimberly Madia, product marketing manager for IBM big data, explains all of
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.
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
Some companies in the media and entertainment industry are monitoring social media and integrating social data with other data to form elaborate predictive analytics models. Graeme Noseworthy (Twitter: @graemeknows) describes how they are doing this and what they've learned along the way, including
In late October 2013, the acclaimed IBM Institute for Business Value (IBV) released a new study titled “Analytics: A blueprint for value.” This study is the result of months of survey research conducted with some 900 business and IT leaders around the world. As the title “a blueprint for value”
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
Swanie Tolentino, retail big data solutions & marketing leader at IBM, discusses key points from a research study titled, "The Real-world use of Big Data in Retail: How Innovative Retailers Extract Value from Uncertain Data." She also relates examples of how retailers are using big data and
Doug Stephens (@RetailProphet) is one of the world’s foremost retail industry futurists and author of the groundbreaking book, The Retail Revival: Re-Imagining Business for the New Age of Consumerism. His work and thinking have influenced many of North America’s best-known retailers, agencies and
Brian Vellmure is an analyst, consultant and frequent Keynote Speaker on the alignment of emerging technology, strategy, innovation and the customer experience. He was also the featured guest on a recent Twitter chat where the topic was “the impact of digital innovation on customer experience.”
A big data platform, because of its ability to consume and process more data from both static and streaming sources, enables organizations to get an "enhanced 360-degree view of the customer" that has not been possible previously. Mark Myers, IBM big data product manager, describes this key use