Microsoft Fabric agentic analytics is a reminder that schemas, semantic models, and governed lakehouse design now shape AI behavior.
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.
