Now that the hoopla surrounding the big data “Smart Sixteen” has subsided, let’s scrutinize the victor, Predict Customer Behavior, to understand why it dominated the other contenders as the top big data consideration. What key factors makes this big data initiative most appealing? Would it be the
Seattle Children’s Hospital is a demonstrated leader in innovative research and therapies for children, as shown below in just a few of their most recent announcements.
Seattle Children’s Research Institute, one of seven members of the Dream Team uniting researchers across the country in
Companies that insure our road vehicles request information including the driver’s age, gender (no longer legal in Europe), claims history and the ZIP or post code where the vehicle is parked at night. On this narrow data set, insurers construct an analytic model used to assess and price risk. A
Hadoop is fundamental to the future of big data. Users are adopting Hadoop for strategic roles in their current data warehousing architectures, such as extract/transform/load (ETL), data staging and preprocessing of unstructured content. Hadoop is also a key technology in next-generation massively
In last month’s post, I talked about how cognitive computers, like IBM Watson, have the ability to do what the earliest underwriters did: approach each risk individually and, based on historical learning, apply reason and judgment to determine a rate. Cognitive computing allows insurers to analyze
Quality-of-service (QoS) is one of the most paradoxical metrics in the telecommunications industry. “Quality” of the customer experience is normally measured through surveys and logged feedback, but plenty of data can lead to good quantitative measures.
Sprint Nextel Corporation is among the leading telecommunications companies in the United States with over 55 million wireless customers, offering a comprehensive set of business, government and consumer services. The company has historically used traditional database modeling to analyze the tens
The University of California, Los Angeles (UCLA), announced their work to develop a bedside early-warning system for brain pressure in traumatic brain injury patients. At the core of this system is InfoSphere Streams, which can ingest and analyze, in real-time, huge volumes of fast-moving data –
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.
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.