Writing from the work itself.
Short essays on data product strategy, AI delivery, open standards, governance, and the operating models that make product work practical.
Context, loop, and graph engineering show why data products need governed meaning, explicit relationships, and controlled operating workflows for AI agents.
Read article 19 JUL 2026Golden Data Product PortfolioA Golden Data Product Portfolio helps leaders turn many separate data and AI ideas into one stronger implementation case.
Read article 25 JUN 2026Agentic Data Product Operations: The Next Maturity Layer for AI Data Product ManagementWhy data and AI product work needs a visible operating layer where humans and AI agents can share workflows, approvals, evidence, and governance.
Read article 17 MAY 2026The ODPS Family Is Becoming the Alphabet of Data ProductsODPS, ODPC, ODPG, and ODPV are becoming a shared language for people, platforms, and AI agents that need data products to work in practice.
Read article 16 MAY 2026Data Product Standards Must Become AI Agent NativeWhy data product standards need to become agent-native so AI agents can read, validate, connect, and operate them.
Read article 10 MAY 20269 Actions We Took to Make Open Data Product Vocabulary AI-Agent-FirstHow the Open Data Product Vocabulary was reshaped so people, tools, and AI agents can use the same product language.
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