9. Synthetic Data Governance for AI: Proving Data Provenance
TL;DR Synthetic data governance for AI comes down to one question: can you prove the data your model saw is the data your generator produced? The question…
8. Data Engineering for AI Agents: Pipelines, Real-Time Sync, and Vector Search
TL;DR Getting a data pipeline right is one job. Data engineering for AI agents is a different job. The agent has to actually consume that pipeline’s output,…
10. Model Risk, Agentic Risk Management, and the Observability Gap
Model Risk, Agentic Risk Management, and the Observability Gap TL;DR We govern our five-agent lending platform in three ways: review scoring models, set limits on what agents…