Pie charts are typically deemed the least useful type of plot to data scientists during the Exploratory Data Analysis phase of a machine learning project, but in this case I think it works!
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Industry Perspectives
The Next Data Revolution is Here – AI Will Understand What Isn’t Being Said
In this special guest feature, Ran Margaliot, COO and VP R&D for Affogata, discusses how analyzing and sorting through unstructured data saves countless hours and recognizes patterns in seconds that even skilled data professionals may never uncover. That data “superpower” can lead to better products that adapt in real-time, responsive customer service, and a sharing of insights across an organization magnifies its impact even further. The impact is well-demonstrated, and there is plenty of data and case studies to prove it; the final step is for human decision-makers to make the decision sooner rather than later.
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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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