Machine-speed analytics requires machine-enforced policy, identity, masking, filtering, and audit controls.
Apache Iceberg v4 discussion should focus on planning cost, metadata layout, and object storage round trips, not vague claims about faster tables.
Lakehouse transactional analytical processing is useful only when teams define freshness, isolation, and workload boundaries clearly.
Enterprise AI advantage increasingly comes from governed context, semantic models, and operational data contracts, not only from model choice.
