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The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machinelearning activities that are applied to enterprise data (the inputs).
From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machinelearning and analytics have become mission-critical to organizations around the world. Enterprise MachineLearning. TECHNICAL IMPACT.
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