analytics

My day at the US Open

What enterprises can learn from technology in sports.

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August #cloudchat recap: Big data in the big leagues – how cloud is transforming sports

Recapping our Aug. 8 Twitter #cloudchat on the intersection of sports and cloud.

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Social media analytics: SaaS or on-premises?

How to choose between the SaaS and on-premises version of IBM Social Media Analytics.

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Can the cloud enable an Orwellian nightmare?

Should we stop using cloud services for fear our own information will be used against us?

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An open platform for cloud apps

How IBM will work with Pivotal and others in the Cloud Foundry community to create an open PaaS.

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Not just for IT efficiency, sourcing means the agility to stay on top of cloud

When a technology is moving as quickly as cloud, the most important thing that enterprises can do is remain agile enough to change with it.

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Cloud for big data and big data from cloud

Big data doesn’t just mean a lot of data.

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A new day in cloud

IBM’s acquisition of SoftLayer is now complete, and the closing represents an industry first.

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Kids talking “SMAC”

An overview of the educational programs like CoderDojo and Code.org teaching young people how to program.

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Netfinity to IBM PureSystems family: We’ve come a long way

Today we have a family of Expert Integrated Systems (EIS) called the IBM PureSystems offerings, which are different because of three unique attributes.

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Data scientists need a cloud sandbox

If you don't provide your data scientists with scalable modeling platforms, you won't realize the full value of your investment in big data.

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May #cloudchat: The rise of the data scientist

For this month's #cloudchat on Thursday, May 9, we will be joined by Hilary Mason, Chief Scientist at bit.ly, to discuss the rise of the data scientist.

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