PostgreSQL, AI Governance, and the C.A.L.M. Platform Test

AI governance failures in enterprise settings often originate not at the model layer but in the data layer beneath it. Using a real-world example from a financial services organization, the post introduces the C.A.L.M. framework — Changeability, Assurance, Leverage, Measurability — for evaluating whether a PostgreSQL-based data platform is genuinely enterprise-ready for AI workloads. Each dimension is explored with concrete PostgreSQL patterns: logical replication for governed changeability, Row Level Security for access enforcement, pgvector for inheriting governance in vector retrieval, and pg_stat_statements with pgAudit for observability. The framework surfaces four diagnostic questions technical leaders should answer before approving AI use cases.

Nguồn: https://postgr.es/p/9pc. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.

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