That’s a great question, Tim. You know, I’ve been in the tech sector for more than 25 years, and I’ve seen a variety of cycles of technology, significant technology all the way from proprietary hardware, software, internet, mobile, cloud, and these days AI, and those were the technologies of--an enabling technology that created a compound of innovation. I think we can all agree that what we are seeing with AI in terms of this rate of compound effect, you know, if you are not staying up to date for a week, all of a sudden it seems like a year passed by. We see that with AI. The beauty, going back to our business, is that since we’d started our journey much before, we started it several years back, but practically we started it much before two years back because the most important part and the most important thing in order to have AI working well is the data, a variety of efforts including data. It’s data, it’s knowledge, it’s media, it’s interactions, and the derivative information from all of those assets. NICE has a unique, unbeatable position where we have years of this data in the tens and hundreds of billions of interactions and knowledge assets and other things, so the answer--the short answer is yes, we are seeing a tremendous improvement in both the accuracy, the relevancy, and on top of that, of course we have more and more out-of-the-box models which dramatically shorten and simplify the deployment for customers. We have today more than 1,000 Enlighten models for every possible, or most possible CX scenarios, and that’s what we do for a living, so we are becoming a CX AI powerhouse both in terms of the assets and the technology. Of course, in order to focus on our core competency, where relevant and when relevant, we’ll leverage some generic technologies like gen-AI and others in order to focus our effort on the things that are unique for us and that are needed in order to take it and make it a viable option for the CX market.