Enterprises are concerned about AI Costs, Governance and Trust

**Brian Gracely** (0:04)
Good morning, good evening, wherever you are. Welcome back to The Enterprise AI Show. I'm your host, Brian Gracely. And today, I had a chance, I want to dive into, I had a chance to both keynote and be part of a couple of panels for an AI event up in New York City. So a little bit focused on financial services or things. Financial services adjacent this past week. And it was a good opportunity, it was probably several hundred people, but got a chance to really sit down with a couple of companies who were doing some stuff. I won't go into their names or all the details of what they were doing. But it was interesting to look at where they were from a charity perspective, where the broader audience was from a maturity perspective. Obviously, there's going to be unique situations in any market and any industry. But I thought I would dive in a little bit into maybe seven or eight observations I made from seeing what was going on with some of these companies, who you would look at them and you would say, hey, they're at the forefront of their industries. They are well-known companies, well-established operations and so forth. But looking at how they were adopting AI, specifically generative AI, and just holistically where they saw what they were doing, how it had evolved over the last couple of years. We're going to dig into that right after the break.
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And we're back. And as I mentioned at the top of the show, I had a chance to be part of an event this past week up in New York City. Both did sort of a keynote as well as a couple of panel, kind of roundtable, fireside chat types of conversations and some dinners and stuff. And it was a good opportunity. Again, I get a chance to talk to a lot of different companies from around the world, in different industries for part of my day job. And some of those things obviously we can't talk about here on the podcast for obvious business and confidentiality reasons. But sometimes when I get a chance to do some stuff that's kind of out in the public domain, it's useful to use it both as a way of gathering inbound signals, what's going on in the market, what types of challenges do people have, but also as an opportunity to use it as a baseline for where are we, at least where is the segment of people that turned out for this event, where are they from a maturity standpoint, how much is the reality versus the headlines aligned or misaligned or mischaracterized and so forth. I thought it would be interesting to dive in. I think I wrote down about 10 or so observations from the event.
This is not intended to be an event summary, but I think it was a good way of both confirming some things that we've talked about in the show, but also that we've been seeing in the marketplace, and also to get some nuance of, okay, what do those use cases, what do those case studies, what do they look like in ways that might become valuable to you as you're listening to that.