Bad Data Causes More AI Failures Than Models Do with Richard Valentine
About this episode
The episode discusses the importance of data quality and memory in AI as it transitions from chatbot to teammate.
We talk about the real shift happening as AI moves from chatbot to teammate, and why persistent memory is the make or break layer for useful automation. We dig into governance, data hygiene, and practical workflow design so AI output gets better over time instead of turning into expensive noise. • moving the show toward YouTube and a more educational format • why memory matters when AI becomes a partner or agent • how regulated industry thinking exposes weak spots in busine...
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