CTOvision
JULY 9, 2014
The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.
CTOvision
JUNE 9, 2014
In the commercial world, Big Data and AI are closely related, with the most impactful AI being done by processing huge data sets and doing extreme learning against those data sets. A key examplesto consider is health insurance. Andreessen: It is pretty clear that businesses are way out ahead on this one.
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GeekWire
APRIL 13, 2023
Truveta chief technology officer Jay Nanduri (left) and CEO Terry Myerson. Truveta Photos) Healthcare data holds great potential to improve medicine, but mining it is not easy. To get to the gold, Truveta built a large AI-powered model to crunch through medical texts from more than 20,000 clinics and 700 hospitals.
Social, Agile and Transformation
MARCH 20, 2012
I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Top Five Tools of Big Data Analytics. Here are some suggested tools of Big Data Analytics.
CIO Business Intelligence
JANUARY 19, 2023
The research, conducted by International Data Corporation (IDC) and commissioned by SUSE surveyed 838 respondents in 11 Asia/Pacific countries across a range of industries such as financial services and insurance, telecommunications, and government. Learn more about SUSE here.
CTOvision
APRIL 16, 2015
Like others in the insurance industry, XL has long relied heavily on data analysis to understand and price its products. Actuarial science itself is rooted in using historical data to understand future risk and uncertainty. Modest growth" is seen for P/C industry in 2010 (cheapautoinsurance.org).
CTOvision
JUNE 15, 2015
IBM will commit more than 3,500 researchers and developers to work on Spark-related projects at more than a dozen labs worldwide, and open a Spark Technology Center in San Francisco for the Data Science and Developer community to foster design-led innovation in intelligent applications.
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