As I think I said in my sort of scripted notes, and it's something I say a lot, AI has moved from theoretical to really starting in the boardroom. And what I'm seeing is the Board is saying to the CEO, what's your AI strategy? And then they're saying, and make sure that our data stays secure inside of that strategy. They then go down and they sort of yell at the CMO, what's our AI strategy and how do we keep our data protected and safe? And those CMOs are often calling me and saying, what do we do here, right? So when you look at our ability to put a CDP in place, which creates a closed ecosystem for the client's data, you're then able to append our data in. You're adding, in many cases, billions and in some cases, even trillions of data points to their data. And the algorithm can operate inside of their. So by way of example, you've got a lot of people talking about large language models. You've got some people talking about small language models. I like to joke, we're a midsize language model. We have the benefits of the large language models with the security, safety, and privacy of the small language models for our data. And every CMO that I'm talking to is asking for products, around efficiency for their business. And once again, you look at our new agent product, that is going to disintermediate very highly paid data scientists inside of our clients' ecosystems. And in some cases, it's not disintermediating anybody. They just can't even get enough bodies to do the work. So our ability to automate all of that and now sell it to them. And the way we look at it is, listen, if they're paying a data scientist $250,000 a year. Why not pay us $50,000 a year per instance? And you're talking $4,000, $5,000 a month on a subscription basis as you roll that out. And you just have to do that thousands of times, which is actually not as hard to do with the number of scaled and superscaled clients we have. So I would tell you, Jason, that this is becoming day-to-day conversation. But the solution that Zeta has by putting the CDP in place, allowing the algorithms to operate with their data in conjunction with our data, without ever risking their data going out into the environment or out into the ether, has been a game-changer in our conversations. And by the way, I think it's one of the reasons you're seeing that ripple through our numbers and ripple through our projections.