Any data scientist knows that Big Data success is all about features, features, features. Feature engineering rules!
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Keys to a Successful AI Program Launch
In this special guest feature, Jerry Kurtz, EVP of Insights & Data at Capgemini North America, discusses how laying the right foundation early is essential to scale AI programs in the long-term. He provides some key examples of important areas AI leaders should prioritize when kicking off their AI programs to ensure they are positioned to scale in the future.
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insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads
This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.
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