Ai

201 posts filed under Ai.

We scored a client's pipelines on cost against consumption. About 1 in 5 had a monthly bill and zero consumers.

Duplicate invoices came from the recovery, not the outage. The retry replayed 40 minutes into a double-counting sink.

A company at 40 people needs senior data judgment about 2 days a week. Full-time is the wrong container.

Nobody owned the orders table. Everyone had opinions about it in the incident channel.

Your engineers are already learning AI at work. The only question is whether it's sanctioned.

A failure that cost one dashboard last year now takes out 40 downstream jobs. The platform grew. The alerts didn't.

Half the "Head of Data" searches I see are two different jobs wearing one title.

Every AI roadmap I review gets the same first check: whether the data could go in a board deck unchecked.

One pipeline quietly consumed a full data engineer. On a team of 5, that's 20% of capacity feeding one job.

A 60-person scaleup asked me to design their data mesh. After the readiness check, we kept the central team.

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