Steve Mills, senior vice president & group executive, IBM Software & Systems Group, discusses big data and analytics with press and analysts at the Information On Demand 2012 conference.
During the conference IBM announced a new digital marketing system and big data software designed to
Von McConnell, Executive Director of the Innovation & Advanced Labs at Sprint, discusses how his company uses big data and analytics at the Information On Demand 2012 conference.
During the conference IBM announced a new digital marketing system and big data software designed to help
The biggest service a university can do for its students is to prepare them for a career. That seems pretty self-evident, but too often the courses are too narrow or too focused on “book learning.”
An innovative new course at the University of Montana is casting that old model aside, thanks to the
USC Annenberg Innovation Lab is using an IBM big data solution to conduct sophisticated social media analytics and natural language recognition to gauge positive and negative opinions shared in millions of public tweets. The project has been applied to political debates, sporting events, movies and
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
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.
Every day, our world creates 2.5 quintillion bytes of data. How businesses discover the real value in large volumes of data is key to their success. In this video, four IBM customers demonstrate how Smarter Analytics has helped them deliver the right product, prevent fraud, make informed and timely
developerWork's Scott Laningham interviews IBM Big Data Evangelist, James Kobielus, on why big data is so important, the role of Apache Hadoop and IBM BigInsights in making sense of big data, the evolving role of the data scientist, and and where data warehousing and big intelligence fit in.
With its 300 nationwide department stores, Dillard's created a huge volume of logistical and customer data. Needing a business intelligence solution to organize and process this massive data and enable better business decisions, Dillard's turned to IBM's Smart 7600 System. This analytics
The Beacon Institute for Rivers and Estuaries, Clarkson University and IBM are working together to instrument the Hudson River. The data that's being collected can be analyzed in real time using IBM analytics technology. The river is serving as a model for all the rivers of the world so we can all
IBM InfoSphere Streams helps define and run powerful analytics on structured and unstructured data in motion. In the healthcare domain, InfoSphere Streams is currently being used to continually analyze up to 16 concurrent streams of physiological data (Blood Pressure, EKG, Blood Oxygen Saturation
Fiserv, a leader in the financial services industry, is using an IBM InfoSphere Warehouse solution built on IBM DB2 as part of a solution to turn billions of transactions into actionable insights that help banks better target offers and maximize their marketing dollars. The use of cloud