Ai
184 posts filed under Ai.
Hybrid Governance Implementation
The 3-part governance model that actually gets adopted.
Read →Hybrid Data Governance
Your governance is either a bottleneck or ignored. The data says 80% of companies can't find the middle ground.
Read →Metadata Management ROI
Engineers losing 10-20% of their time to repetitive questions. Most teams don't even measure it.
Read →Technical Debt Productivity Loss
Every data engineer on your team loses 2 days per week to technical debt. That's time they can't spend building.
Read →Building data platforms for technology instead of teams
The data platform nobody asked for is the data platform nobody uses.
Read →Event-driven architecture coordination tradeoffs
You adopted EDA to reduce dependencies. You just traded runtime coupling for design-time coupling.
Read →Data Architecture vs Data Engineering: What's the Difference?
Architects design the blueprint. Engineers build the system. Hire the wrong one first and you'll hire both twice.
Read →The Alignment Tax: What Misalignment Costs Per Sprint
Your team's velocity isn't slow because they're bad. It's slow because they're building the wrong thing right.
Read →The AI Readiness Checklist Nobody Uses
Every company has an AI roadmap. Almost none have passed their own readiness checklist.
Read →The Reorg That Made Everything Worse
They reorganized the data team three times in two years. Each time, things got worse.
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