The UCLA Department of Neurosurgery analyzes brain wave data to predict the rise of deadly brain pressure as part of a National Institute of Neurological Disorders and Stroke study. Knowing in advance that brain pressure could potentially rise in TBI patients gives doctors more time to prevent
It’s a classic "fairy tale of star-crossed lovers." Leading global information and measurement company meets multinational technology and consulting corporation. They talk big data, analytics, technology and positive business outcomes. It was love at first sight.
Today, two major factors are poised to change the insurance industry in a way it hasn’t seen in more than 50 years—emerging capabilities enabled by cognitive computing and big data, and an empowered consumer. If history is any indication, these technologies will usher in a new paradigm for the
The level of engagement and conversations about big data and analytics at HIMSS13 was very exciting and encouraging. After all, transformation of the healthcare system will not only be dependent on data, but more importantly about our ability to securely capture, integrate, manage and analyze it in
IBM recently hosted a webinar that covered the results of the Aberdeen 2013 Big Data for Marketing survey. As a follow up to the event, we created an infographic that summarizes the research in a way that is both interesting and fun to digest and share.
To better serve their customers, banks strive to understand the best way to anticipate their needs. A quick response to an emerging need can add short-term value to a new customer relationship or enhance a long-term one. By successfully harnessing big data, banks can capture large volumes of data
From a technology perspective, the average retail IT environment is typically struggling to maintain and provide value to its business users. PureData System for Analytics is the ticket to push the envelope on high value at a fraction of the cost.
Insurance companies are looking to accelerate the speed and increase the precision of catastrophe modeling, the process through which companies determine the exposure of current policies and the probable maximum loss (PML) from a catastrophic event. Catastrophe modeling is vital for setting policy
Have you ever been in a situation where you are so baffled and amazed at a process that your only response is, "Really!?!"
As in: many health care providers are still not using analytics as the basis for decision-making? Really!?!
If you're with a fan of Saturday Night Live, Seth Meyers performs a
As the financial crisis continues, banks are adapting their business models to the “new normal.” But the path to get there will not be through traditional products and services. Banks must develop new, innovative products and services that add value to their customers in new and different ways.
Communications service providers are turning their attention to mobile optimization. They have realized that customer data and location monetization is vital to growth and they need to act quickly. A new animation illustrates how big data powers mobile couponing.
Cyberspace is today’s new battleground, and cyber security continues to be a top imperative for both enterprises and governments. This is where big data comes in. IBM® Security QRadar® uses big data capabilities to help keep pace with advanced threats and prevent attacks before they happen. It
“Moneyball” was the story of data-driven strategies being fully leveraged for success. It’s a phenomenon that’s moved beyond baseball. Now, we’re starting to see a similar trend at work with best-in-class CMOs, digital marketers, ad tech firms, marketing service providers and retail operations as
Historically, the insurance industry has simply accepted the staggering cost of fraud as a cost of doing business. Now, however, insurance fraud is on the rise. But help is at hand. Next-generation fraud solutions and big data are changing the equation in favor of insurance companies and their
By addressing chronic conditions at the population level, health organizations can achieve a greater impact. But it’s not easy. Successful programs have to employ measurement and analysis and include enormous volumes of data from an ever widening variety of sources. Making data useful, parsing what