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
Vestas, a leader in modern energy, chose IBM InfoSphere BigInsights to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs. Solution reduces response time for wind forecasting information by approximately 97 percent—from weeks to hours—to help cut
Emilie Werr, VP & Head of Enterprise Architecture for NYSE Euronext discusses the benefits seen from their new IBM Netezza data warehouse appliance. Some of these key benefits include: the ability to support their large data footprint (up to 4TB a day), giving users the ability to connect
Roland Cozzolino (CTO) and Tom Craig (VP Data & Information Strategy) from MediaMath sit down to discuss their analytical objective as a leading Digital Media firm and the role IBM Netezza plays in their business strategy.
With IBM Netezza, TEOCO Corporation is able to simplify big data, saving time and resources. Senior Director of Product Management Jonjie Sena explains the importance of analytics and how IBM Netezza has streamlined the process of solving business problems.
Krishnan Parasuraman, CTO big data for digital media, answers questions about big data solutions for the Digital Media industry and discusses the sophisticated distributed processes that take place at light speed to deliver targeted digital advertisements.
Okay, I’ve bitten my tongue for as long as possible, and I need to get this off my chest. Most, and by most I mean at least 85% of the social media big data initiatives I see are ultimately going to under-deliver their expected ROI or eventually be discarded as not useful enough. I was reminded of
James Kobielus recaps the July 24 big data tweetchat, sharing insights from Pacific Northwest National Laboratory, Trident Marketing, TDWI and others. Find out how they started their big data initiatives, their results to date and advice for others.
One of the myths I deflated a few blogs ago was this prevailing notion that, as I expressed then, "data scientists are just an elite bunch of precious eggheads."
Well, maybe I was slightly exaggerating the myth for comic effect, but that statement, in spirit, sums up how traditional business
Utility companies are facing a step change in the industry from many factors at once: social and political pressures on generation, increasing data volumes from smart grid and advanced meter infrastructure (AMI) technologies and sweeping regulatory changes amongst. Evolving technology in the