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Analytics products represent the user-facing and client-facing derived value from an organization’s data stores. Data scientists work with business users to define and learn the rules by which analytics models produce high-accuracy early warnings. (c) These may not be high risk.
From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Each year, nominees have raised the bar, and this year is no exception.
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