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
In this video, Christine Twiford, T-Mobile's Manager of Network Technology Solutions, explains how and why T-Mobile replaced a 40 terabyte (TB) Oracle data warehouse with an IBM Netezza appliance. She discusses the various business units served by the IBM Netezza appliance today and the evolution
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.
After being fed up with the performance of their previous system, iBasis chose to move to an IBM Netezza Data Warehouse Appliance. In this video, Mark Saponar, VP of Information Systems at iBasis, discusses how IBM Netezza has shown them a completely different approach to information.
Catalina Marketing's VP of Business Intelligence Solutions explains how the company is staying ahead of the curve by implementing a high-performance predictive analytics solution based on IBM Netezza data warehouse appliances.
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.