While healthcare organizations are amassing vast amounts of data, multiple versions of the truth can contribute to errors in patient care and payment processes. Physicians have been on information overload for decades, contributing to the estimated 15% of diagnoses that are inaccurate or incomplete
As business users start to explore big data and implement big data projects, they are quickly realizing that the technical issue of managing big data is not the only problem they need to be concerned about: Finding skilled professionals who can work with big data is an equivalent challenge.
Below are the top three questions I hear all the time from business partners and customers alike. I will take a moment to address each one. Before I do that, however, I wanted to flash back to 1995. I was responsible for building a channel around our new e-commerce offering called Net.Commerce (
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I opened up one new theme–Big Media (which I'd introduced a few weeks back at this IBM big-data-relevant site) –and extended my existing discussions of peta-governance (going beyond what
It is no secret that healthcare worldwide is in crisis - high costs, poor or inconsistent quality, and inaccessibility are potentially catastrophic. For example, Healthcare in Ontario is expected to account for 50% of government spending by 2011. And in China, 39% of the rural population and 36% of
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
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
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
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.