Next week, thousands of telecommunications professionals will gather in Nice, France for the annual TM Forum. The top talk is about navigating the “digital storm” that is sweeping the industry.
Storms are full of power and they can be disruptive. At IBM, we see the data storm as a fury of untapped
Across industries, companies are finding that a critical factor in their success is the ability to analyze massive amounts of data in near real time. Telecommunications is one of the leading industries that not only creates a lot of data but is also tasked with understanding customer behavior and
You like videos and we like making them for you. This week, for our Friday Data Flick feature, we bring you three new videos: two that help you understand more about the top uses for big data and one that takes an in-depth look at Hadoop as a data warehouse.
Top Big Data Use Cases Explained
“Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of Certified Fraud Examiners (CFEs) who investigated cases between January 2010 and December 2011. Applied to the estimated 2011 Gross World Product, this figure translates to a
Consumer products companies traditionally have had a wealth of information at their disposal from gathering large volumes of data about the manufacturing, logistics, and the sale and promotion of their products. Today's digitized shopping experience has put consumers in the catbird seat with up-to-
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
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
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
Big data is not a religion. Rather, it’s an analytics paradigm that enables business outcomes beyond what can normally be achieved at lower volumes, velocities and/or varieties of data.
Scale is everything. Big data means many things to many people, but at heart most of us agree that the “3 Vs” of