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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). All these elements have a significant role in analytic projects. Get started.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2] To learn more about Creating an End-to-End Infrastructure for AI Success , read the IDC white paper and visit Dell.com/AI. Just starting out with analytics?

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Think it through, end to end, from implementation feasibility to identifying the key performance indicators (KPIs) you’ll use to measure return on investment (ROI) and project success. To learn more, read our white paper, “Moving AI solutions from concept to production.”. Just starting out with analytics?