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Author

Yogendra Sharma

Writes on semantic execution, the long-term shape of the enterprise data stack, and what it takes to make AI agents reliable on governed data.

Yogendra is the founder and CEO of Colrows. He writes on architectural shifts in the enterprise data stack: why the metric store gives way to the semantic execution layer, what an autonomous semantic system looks like in production, why governance has to move into the compiler, and what enterprises learn after their first agentic AI pilot fails.

His posts are grounded in production work at regulated enterprises in pharmaceuticals, BFSI, and travel retail. Technical claims are reviewed against the Colrows architecture; citations follow our editorial policy.

Areas of focus

Semantic execution Enterprise data architecture Autonomous semantic systems Compile-time governance AI agents SQL as compile target

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