AI Today Podcast: AI Failure Series – Data Quantity & Data Understanding Issues - podcast episode cover

AI Today Podcast: AI Failure Series – Data Quantity & Data Understanding Issues

Nov 03, 2021Season 5Ep. 223
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Episode description

AI and ML projects revolve around data so it’s important to understand how much data you really need. Understanding how to plan, manage, and operationalize AI & ML Projects is crucial for project success. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer continue the discussion around common reasons why AI projects fail.

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AI Today Podcast: AI Failure Series – Data Quantity & Data Understanding Issues | AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion - Listen or read transcript on Metacast