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Most CS teams aren’t failing at AI because the tech is bad.
They’re failing because their data is a mess.
For years, CSMs held everything together.
Missing fields? Call someone.
Conflicting info? Chase three teams.
Weird behaviour? Dig through five systems.
Humans could patch it. AI cannot.
AI uses the data you have, as is.Messy data means messy outcomes.
The twist?
AI is also the fastest way to clean the chaos. If your AI isn’t delivering value, the first thing to fix is your data.
By Daphne Lopes5
44 ratings
Most CS teams aren’t failing at AI because the tech is bad.
They’re failing because their data is a mess.
For years, CSMs held everything together.
Missing fields? Call someone.
Conflicting info? Chase three teams.
Weird behaviour? Dig through five systems.
Humans could patch it. AI cannot.
AI uses the data you have, as is.Messy data means messy outcomes.
The twist?
AI is also the fastest way to clean the chaos. If your AI isn’t delivering value, the first thing to fix is your data.

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