Why enterprise AI fails without a strong data foundation

By Rohit Kumar, COO, SCIKIQ

Almost every large company wants AI now. The board has asked, the CEO read something on a flight, and there is usually money set aside before anyone has worked out what problem they are solving. So, a team picks a model, builds a pilot, demos it once to applause, and nine months later it has quietly dropped off the steering committee deck. Nobody calls it a failure. It just stops coming up.

After twenty years building data platforms in banks and global enterprises, the pattern is hard to miss: the model is almost never what broke. It was everything underneath it.

People treat AI like a fortune teller. It is not. It is a very fast reader that believes whatever you put in front of it. Give it a mess and it reads the mess back fluently, in good English, with a confident tone, and...

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