Enterprise AI Deployment
topic on 4 shows · 5 statements across 5 episodes
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5 statements about Enterprise AI Deployment, every show
Zhang: Enterprise AI Rollouts Should Be Piecemealed, Not Deployed All at Once
“One of the things that we really try to do is, you know, kind of take the project and piecemeal it. So we're not just deploying across every surface area, every use case at once.”
Lample: Mistral initially underestimated enterprise model deployment complexity
“What we underestimated initially is the complexity of deploying this model and connecting them to everything to be sure it has access to the company knowledge.”
Fitzpatrick: Enterprise AI deployment will take a decade, not two years
“I think that whole process is in the first inning in the enterprise. I think it's going to take a decade, not two years.”
Enterprise AI deployment is hindered mostly by non-AI organizational hurdles
“Even deploying AI there's a lot of things that have nothing to do with AI itself. Like, you know, to get you know, procurement authorization and compliance and all the things. So you know, far from killing us all just like deploying it in your department is is…”
Narayanan: Enterprise AI deployment will be very slow
“It's got, you have to actually deploy AI to be able to get to certain types of learning, and I think that's gonna be very slow, and I think the a good analogy is self-driving cars, of which we had prototypes, you know, two or three decades ago, but for these t…”