Big Data Developer Meetups have been held in 8 locations across the United States, with more coming in 2013. Our Meetups have been kicked off with a Big Data Developer Day, which is an exclusive event that allows all attendees to experience IBM’s enterprise-class big data platform, while addressing
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
Big data bracketologists are busily selecting their top picks and priorities for the "Smart Sixteen" Big Data Management Tournament. What's most important to Marketing, IT, Finance and Infrastructure? Which business challenge will come out on top? Make your picks today!
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.
See how "The Big Datastillery," a revolutionary new “appliance,” condenses terabyte-scale torrents of customer, transactional, campaign, clickstream and social media data down to meaningful and actionable insights that boost response rates, conversions and customer value.
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
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.
As consumers, we’ve all been frustrated – rightfully so - when companies don’t seem to know anything about us, when we know they have the information somewhere in a corporate database. Martin Dowson is a customer experience strategist who advises major UK and international companies on how to adopt
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