Topic
16 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
2022
Mehrotra says that in November 2022 and before, about 90% of models organizations used were homegrown or built in-house.
“November 2022 and before, 90% of the models that you have that any organization used to use, uh, was really homegrown or inbuilt”
Undated
Prashant Mehrotra describes his role as Chief AI Officer at U.S. Bank through four E's, including evangelizing, educating and enabling.
“I look at my role as the chief A I officer in in four E's.”
Undated
Mehrotra says U.S. Bank reviews hundreds of AI ideas that it intends to deploy.
“we have hundreds of ideas uh that we review and we are intending to deploy.”
Undated
Mehrotra says AI that supplies information to agents during live customer calls has significantly raised customer satisfaction at U.S. Bank.
“how we get the information while the customer is on, uh, you know, in in in moment and is on the call with us.”
Undated
Mehrotra says U.S. Bank's AI code review tool, after the pilot, analyzed and reviewed code at a rate much higher than 50% faster.
“when we moved out of the pilot, we were much higher than 50% faster rate of being able to analyze and review our code.”
Undated
Mehrotra says generative AI prompts for contact center staff cut the time to answer client questions from multiple minutes to tens of seconds.
“we saw what used to take us minutes, multiple minutes in providing the answer and a solution to our clients. Uh, we are able to bring it down into tens of seconds”
Undated
Mehrotra says U.S. Bank reduced the time needed for governance and approval of AI capabilities over the preceding six months.
“we have actually been able to cut down in the last six months that time it takes for us to go through the governance and approval process.”
Undated
Mehrotra says risk approval times for some AI capabilities at U.S. Bank were cut in half.
“in some cases, the the approval and the risk approval times being cut down in half”
Undated
Mehrotra says the AI code review tool is now in the hands of thousands of U.S. Bank's code developers.
“right now, it's in the hands of thousands of our code developers.”
Undated
Mehrotra says scaling AI pilots at an enterprise requires addressing issues such as disaster recovery and change management.
“scaling requires tackling enterprise, uh, you know, size constraints, and, you know, things like, uh, you know, disaster recovery, being, you know, change management.”
Undated
Mehrotra says U.S. Bank is rolling out AI learning programs to its entire workforce, from leaders to frontline associates, tailored to roles.
“we are making sure that we are rolling out learning programs for our entire workforce.”
Undated
Mehrotra says human-in-the-loop review is U.S. Bank's driving principle for AI-driven customer contact.
“we have, you know, human in the loop in the place, which I would say is our driving principle”
Undated
Mehrotra says AI leadership at U.S. Bank centers on a core group of the chief AI officer, the chief data product officer and the chief technology officer.
“We have a core group between, you know, the chief, uh, I already mentioned, uh, as chief A I officer, our chief data product officer, and the chief technology officer.”
Undated
Mehrotra argues that AI without a trustworthy data foundation is itself a hallucination.
“A I without data itself is a hallucination.”
Undated
Mehrotra says U.S. Bank works with hyperscalers and also with startups on niche AI problems such as guardrails.
“we are working with a lot of, uh, uh, you know, uh, startups and entrepreneurs”
Undated
Mehrotra says generative AI is the first technology that lets the bank use external models at scale without modifying them.
“for the first time that that we are able to leverage external models at scale without modifying them.”
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