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TDWI Checklist: Data Management Requirements for Data Science, ML, and AI

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Authored by Philip Russom

Today, breakthroughs in AI are finally delivering on their promises to everyday business users, largely driven by advancements in machine learning (ML).

Here’s the catch. The newfound abilities of ML and AutoML depend heavily on getting the right data at the right time to the correct models. This TDWI Checklist report drills into the business and technical requirements for preparing data for machine learning and related practices in artificial intelligence and predictive analytics.