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

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. In this episode they dig into data quantity and data understanding issues. Show Notes: CPMAI MethodologyIntro to CPMAI webinarAI has a long way to go before doctors can trust it with your life