Watch this live chat with our second group of teams and participants from the #Hadoop4Good challenge to learn why they chose their projects, hear some of their challenges and delve deeper into the story behind their applications.
Watch this live chat with the teams and participants from the #Hadoop4Good challenge to learn why they chose their projects, hear some of their challenges and delve deeper into the story behind their applications.
The Weather Channel Meteorologist Jim Cantore talks about why weather means business. IBM and WSI, the global B2B division of The Weather Company announce a strategic alliance to bring advanced weather insights to business.
There is no time to waste when working underground. Joy Global is constantly monitoring undergound conditions in order to adjust their course of action. A few minutes can make all the difference. With IBM they are gathering, storing and analyzing data faster with real-time insights in context.
With a lot of moving parts, CEVA was generating a lot of content. Pulling it all together provided flexibility and insight into the content CEVA already had. With IBM solutions, CEVA now has the data it needs to start driving key decision making for the future.
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Telecommunications companies are losing five percent of their revenue each year to fraud. Fraudsters are after free smartphones, long distance, premium services and confidential customer information resulting in $35 to $40 billion in losses from fraud worldwide.
Detecting and preventing fraud is
RIMAC uses IBM Analytics and IBM Global Business Services to make more money out of the same insurance premiums, while remaining customer-centric and discovering hundreds of millions of dollars in fraud and leakage.
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Safety Insurance Company had the common problem of too many databases. There was no single version of the truth, and this led to inconsistent answers across the enterprise. With IBM solutions, the organization now has one repository for all its data and the power to use big data to fight fraud.
“Let’s say there was a magical crystal ball to predict the future,” says John Choi, director of product management and strategy for the IBM Big Data portfolio. “If you could look into that crystal ball, you’d know a lot more about your customers.” That kind of end-to-end predictive analytics