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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Develop a strategy to liberate data . 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.”.

Analytics 115
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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. 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]

Analytics 137