Practical writing on getting data and AI into production, from the senior practitioners doing the work. No hype, no boilerplate.
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Data & AI Strategy
Most mid-market AI initiatives fail not because of the model but because of what feeds it. Here are the four d…
Data Engineering
AI pilots rarely fail because of the model. They fail because the data foundation underneath it is not ready.…
Data Architecture
Government financial data follows fund accounting rules, GASB standards, and compliance overlays that modern a…
Data Engineering
Between 20 and 40 percent of portfolio company cloud spend is waste. Here is where the leaks hide across Datab…
Data & AI Strategy
I have now done this three times. Each time, the specifics were different but the pattern was the same. Here i…
Data Engineering
The Databricks docs show you how to enable Unity Catalog. They do not show you what breaks when you roll it ou…
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