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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. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

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

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] 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. Just starting out with analytics?

Analytics 137