Enterprise AI requires flexible orchestration over risky model lock-in
A reckoning is underway in enterprise AI. Chief executives who spent two years bolting frontier models onto their businesses are now asking harder questions.
What did we actually get for the money? Where does our data go when it flows through someone else's model? And when the model we standardized on last year isn’t the best one this year, how much of our business have we quietly handed over to a vendor we don't control?
That last question is the one that should keep leaders up at night, because for most companies, the honest answer is: far more than they think.
VP, Commercial, Veritone.
The conversation about AI has mostly been about which model is best.
That’s the wrong question.
In a field where leadership changes hands every few quarters, “best model” is a snapshot, not a strategy.
The question that actually matters is architectural: when the state of...
Copyright of this story solely belongs to techradar.com. To see the full text click HERE
