Great question. Yes, we have -- this is something that we're super excited about. So we already announced a slew of product enhancements that leverages AI. What we realize, and this is now a new analysis and thesis is that AI is ultimately the new UI. So when you properly blend AI across your offering, leveraging the complexity and richness of our back-end framework, data structures and all the signals that we collect, we can offer essentially infinitely customizable services to our customers. We already have very large customers that actually come to us and say, "Hey, we actually like your data layer and can you also offer that as a service to us, again, leveraging AI as a super flexible way to curate and extract intelligence from those data layer. So that's something that we're super, super excited about to come out with new offerings that does that. So we also have in beta preview already, for example, our records solution, completely removed any manual work from there where you interact with the software, automatically actually identify for your, for example, geo, for your industry, what kind of regulation there are and automatically suggest the proper taxonomy and labeling for your data set and also go out and do zero-shot auto discovery and allow then users to actually provide additional feedback, so it refines. So this removes a ton of manual work and even base level knowledge, tediousness of record management out of it. So these are just a few examples of leveraging AI in our product. Internally, we are absolutely leveraging AI. Nearly all of our -- well over half of our developer population are now using AI accelerated IDEs, and we see very good productivity from that, not only from a code development perspective, but also from a QA automated testing cases perspective. So -- and of course, lastly, I would say, is from a cloud security and CloudOps perspective, that's also an area where AI continue to play now an ever-increasing role to automatically identify risks and potential infiltrations. We, like many enterprise-grade SaaS vendors, we have instances around the world. We manage hundreds of petabytes of data ingestion on an everyday basis. And we're also monitoring attacks on an everyday basis. So leveraging AI to help us speed up that response rate is something we are also actively deployed. So we're actually very excited about both internal use cases of AI as well as infusing into our product to push out for external use cases. Ultimately, this will generate much more added value for our customers to be able to truly leverage the power of the entire platform instead of just use specific point products.