This 21 page ebook will teach you how to address, avoid, and fix the main challenges that come up in Data Science Laboratory Environments.
Industry Perspectives
Historical Data is a Thing of the Past. It’s Prime-time for Real-time Data.
In this special guest feature, Dan O’Connell, Chief Strategy Officer and a board member at Dialpad, takes a look at what will happen to organizations as they roll out real-time data capabilities this year– they’ll discover new ways to scale faster, fresh ideas to improve operations, and novel ways to reduce friction.
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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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