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.
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.
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
To understand some challenges facing the communications industry and how our customers create value by analyzing large volumes of data, I spoke with Raquel Katigbak - an IBM business solutions executive specializing in the industry.
Mike: Raquel, this appears a good time for consumers in the