The Sanity Check: Observability for AI Data Pipelines

David Aronchik

David Aronchik

CEO

Expanso

Video poster

When AI systems fail, the root cause often lives in the data — but most teams have little visibility into what’s actually happening upstream.

We explored what observability looks like for AI data pipelines, how to track lineage from source to prediction, and why monitoring freshness, drift, and dependencies is critical for trustworthy AI systems.