Writing
On the decisions that shape enterprise AI, data platforms, and technology organizations.
Why We Chose dbt Over BigQuery Dataform
JavaScript supply chain risk, SQL-first philosophy, multi-warehouse portability, and what actually matters when choosing a transformation framework in a regulated enterprise.
ReadWhy Most Enterprise AI Programs Fail Before They Start
The failure mode isn't technical. It's organizational. Most enterprises skip the operating model and jump straight to tooling — then wonder why nothing scales past the pilot.
ReadData Vault 2.0 in Banking: Architecture for the Audit That Hasn't Happened Yet
Why insert-only modeling, hash keys, and full lineage aren't academic exercises — they're survival patterns in regulated environments where every record must be defensible.
ReadThe AI Center of Excellence Is Dead. Long Live the AI Operating Model.
Centers of Excellence centralize capability. Operating models distribute it. The difference determines whether AI scales or stalls at the enterprise level.
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