Content by KimVaddi (2)

KimVaddi explains why many oil & gas AI initiatives stall on inconsistent business meaning rather than data volume, and argues that the “meaning layer” is the real readiness bottleneck. The post connects OSDU, Azure Data Manager for Energy, and Microsoft Fabric IQ’s preview ontology capability as a practical path to governed, cross-domain reasoning.

KimVaddi lays out a reference architecture for governing “agent sprawl” with a multi-region AI agent landing zone on Azure, using layered control planes to enforce policy, safety, evaluation, and observability across agents, models, and tools.