Ai

243 posts filed under Ai.

Some broken pipelines only need duct tape and a ticket with a date on it.

Every sprint planning I sit in ends with the same item: the data fix.

The brief says the dashboards are slow. Day five usually finds the reason nobody asked about.

Most of the data debt I see at 40-person companies is three definitions of 'customer' written in SQL.

At 40 people, a lakehouse needs someone whose job is running it.

Your job post for a 'data person' describes three jobs. Whoever takes it will burn out doing all three.

Ask whoever builds your monthly report to list every manual step. The list is your platform gap.

Your data platform bill can go up without anyone on your team changing a thing.

Dashboard query time, pipeline failures per week, days to first data change. Pull all three this afternoon.

The first data hire usually lands a funding round later than it should have.

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