Cloudera CEO Charles Sansbury discusses findings from their State of Enterprise AI study on how enterprise adoption is outrunning IT governance.
Prediction Not checkable as stated
Sansbury: AI gains will outpace losses via tiny group of massive winners
“Certainly, there's a lot of money that's going to be lost in these investments. But I think what's going to happen is actually different, in that I think there's going to be, you know, a lot of companies that turn out not to be successful, but a very small num…”
Opinion
Sansbury: Autonomous AI agents operating without humans create unmanaged enterprise risks
“The concern, especially as you move from generative to agentic AI, where you have autonomous agents moving through your systems doing stuff without checking back in with a human, I think it creates risks that we haven't got our hands around yet.”
Insight
Sansbury: Moving All Data to Cloud Sacrifices Proprietary Enterprise Context
“What our perspective has been, the answer can't be you take all that data and move it to the cloud so it can run very neatly on these cloud-based models, because then you lose kind of control over that enterprise context that you built over years, the transact…”
Assertion Not checkable as stated
Sansbury says an AI agent replaced a 1,000-person banking fraud team.
“And it's allowed them to basically take a team of a thousand and repurpose the majority of those people to other functions within the bank. So that's a savings of tens of millions of dollars and a more efficient process and better for the customer who gets his…”
Opinion
Sansbury suggests base AI models are hitting an asymptotic performance plateau.
“Models are getting better, but maybe they're approaching this kind of asymptotic barrier where are thirteen billion parameters really that much better than twelve billion parameters, right? Maybe nine is good. Maybe five. We, someone mathematically has done th…”
Prediction Not checkable as stated
Sansbury: Threshold for Human Intervention in AI Workflows Will Keep Rising
“I will tell you if the improvement in the large language models that I use is an indication, the line's going to keep going up. The technology is iterating very fast and getting better much more quickly than I would have thought.”