Over at IT Manager Daily, Megan Berry writes that a solid data management strategy needs to start with the end goal of insight in mind.
The challenge is to formulate the right questions to extract meaning out of terabytes, even petabytes (and some day zettabytes!) of data—data organizations feel compelled to collect and store even though its value is not always immediately known.
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In this contributed article, Dr Richard Parmee, founder and CEO of Sapphire Inspection Systems, highlights how the increased connectivity of devices and data analysis tools is now making it possible to unlock hidden value from production-line data. He explains how the real-time insights from end-of-line inspection equipment can be used to optimize processes.
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With the ten must-have capabilities of an Enterprise AI platform outlined in this paper from Veritone, organizations can position themselves for rapid adoption of AI and ML at scale without requiring custom “from-scratch” model development, extensive AI expertise, or single-model dependency.
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