Notes for SQL developers past the hello-world demo
Most AI_COMPLETE tutorials stop right where the interesting work starts. You learn how to call the function, you get back a string, and then… what? How do you keep the output shape consistent across millions of rows? Which parameters actually matter and which are noise? What do you do when a row errors at 3am on a scheduled task?
This is the article you read after that one. We’ll skip the basics and go straight to the parts that determine whether your pipeline survives contact with production.
(more…)The companion piece for the people actually writing the SQL.
(more…)What every manager sponsoring AI analytics needs to understand before the project starts
How many times have you waited three days for the BI team to deliver a report you no longer needed by then? And how many times did you have to look up emails, complaints, and meeting notes just to understand what those numbers actually meant?
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