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Data governance isn't sexy, but it's what makes or breaks your AI strategy. In this episode, Sam and Mac tackle the tactical reality of what happens inside companies trying to comply with AI regulations while keeping data governance practices intact.
What you'll learn:
Key frameworks covered:
✓ Data lineage and chain of custody
✓ Audit trails throughout the AI lifecycle
✓ Model cards for documentation (used by Google, Microsoft, Meta, Amazon)
✓ Post-deployment monitoring: data drift, concept drift, and bias detection
✓ Human-in-the-loop requirements for consequential decisions
The unsexy truth: Compliance as a service companies are emerging to help startups navigate these requirements. Trust isn't just a nice-to-have—it's becoming a competitive advantage.
By Mac & SamData governance isn't sexy, but it's what makes or breaks your AI strategy. In this episode, Sam and Mac tackle the tactical reality of what happens inside companies trying to comply with AI regulations while keeping data governance practices intact.
What you'll learn:
Key frameworks covered:
✓ Data lineage and chain of custody
✓ Audit trails throughout the AI lifecycle
✓ Model cards for documentation (used by Google, Microsoft, Meta, Amazon)
✓ Post-deployment monitoring: data drift, concept drift, and bias detection
✓ Human-in-the-loop requirements for consequential decisions
The unsexy truth: Compliance as a service companies are emerging to help startups navigate these requirements. Trust isn't just a nice-to-have—it's becoming a competitive advantage.