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Industry Perspectives
Why We Need ML Ops: 4 Things to Consider When Testing AI
In this special guest feature, Stephan Jou, CTO of Interset, a Micro Focus company, explores things businesses should consider when deploying production ML pipelines and testing AI. MLOps is important because businesses have now accepted the value of AI and ML, and are now focused on extracting the promised value from those ML systems.
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NVIDIA’s New Data Science Workstation – a Review and Benchmark
This new whitepaper from NVIDIA’s Authorized Channel Partner, PNY Technologies, tests and reviews the recently released Data Science Workstation, a PC that puts together all the Data Science hardware and software into one nice package. The workstation is a total powerhouse machine, packed with all the computing power—and software—that’s great for plowing through data.
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