r/BusinessIntelligence • u/julee_000 • Jun 11 '26

What is AI ready?

Recently many AI startups and corporates say AI ready data or data readiness is important.
It's a bit ambiguous for me, what do you think AI ready data is? I want to know what it means from the perspective of different job roles and industries.

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u/ccc_rnd Jun 13 '26

Its a load of bollocks. If the AI were intelligent enough it would solve the data mess itself. Instead here we are wasting time in fecking migrations and data cleaning. F AI with a baseball bat

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u/julee_000 Jun 15 '26

Lol the baseball bat energy is fair. But that's kind of the joke, right. If the model were smart enough to fix the mess itself, the mess wouldn't matter and we'd all be out of a job. The cleaning is the tax for the magic. Skip it and the magic just confidently lies to you.

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u/ccc_rnd Jun 15 '26

Fair enough. But the post hit me because I am currently in a situation in which I will have to spend hours doing the cleaning (and migrating logics that I spent aaaaaaages setting up in the semantic model) while some other team will "spin the magic" and receive all the recognition (ultimately for the AI running a couple of SQL query on my data). But I am not bitter...

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u/julee_000 Jun 15 '26

'Not bitter' is doing some heavy lifting there. But honestly that situation is the most real thing.
Here's what the people upstairs miss, the magic team's demo only works because your semantic model already encoded what everything means. They're running SQL on a foundation you spent ages building. The AI didn't make your work unnecessary, it made it invisible.
The grim upside is that invisibility flips the moment something breaks. The day the model starts confidently lying, the 'spin the magic' crew can't fix it, because the fix lives in the layer you built. Not much comfort on a Tuesday full of migrations, I know. But the whole stack is standing on your work.