Priya Venkateswaran

Enterprise CRMs offer deeper governance; AI natives capture cleaner data and stronger live access.

Stale and ambiguous data from Dynamics 365 corrupts the AI models Salesforce inherits.

Catch retrieval failures before release by monitoring embedding drift against production data.

Tracing training data back to its sources reveals hallucinations before they reach customers.

Rubrics decompose quality into verifiable criteria, replacing opaque scalar scores.

Blocking eval gates in CI/CD catch model failures before production.

Catch model degradation before production with automated gold-set testing.

Accuracy masks which failure modes your eval set actually covers.

Eval datasets drift silently from production; version control and lineage tracking catch it.

Stratified sampling reveals regressions in rare subgroups that average pass rates bury.