@harshach
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Apr 30 · 5 min read · As organizations rely more heavily on AI to answer business questions, the demand for accurate, consistent outputs has never been higher. Other platforms today address this through context engineering
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Feb 5 · 5 min read · At Uber, we had over 300,000 datasets, and most of them were unowned. Engineers couldn't find the data they needed, and when they did, they had no way to know if they could trust it. Who owned this table? Where did the data come from? What did the nu...
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Jan 12 · 7 min read · Metadata is the foundation of modern analytics and AI. When schemas change, new tables appear, or ownership shifts, those changes ripple immediately through dashboards, models, and pipelines. If metadata lags behind reality, teams lose trust and syst...
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