NICE Ltd. (NASDAQ:NICE) Q4 2022 Earnings Call Transcript

Barak Eilam: And I will add to that, that specifically we saw it in the second half last year and even more so in Q4. Beth mentioned that both our NRR, net retention rate, our ARPU and our monthly active user all grew very nicely in Q4 and at a higher percentage than we’ve seen before, and you’ve seen it in the sequential growth in the Cloud between Q3 and Q4.

James Fish : Many thanks.

Operator: Thank you. Our next question is from Rishi Jaluria with RBC. Please proceed with your question.

Rishi Jaluria: Wonderful. Thanks so much for taking my questions. Barak, I wanted to start by going a little bit further down the AI path. I know we’ve had a lot of discussion on the call today. But I wanted to ask specifically about ChatGPT, you have made some announcements around that. Maybe can you give us the longer-term vision for how you intend to incorporate some of ChatGPT’s technology along with your own AI and what that looks like? And maybe how that can end up actually being a competitor advantage because obviously ChatGPT can be used by other competitors out there, but I’m sure being able to combine it with your own AI systems starts to be a competitive advantage. So maybe a little bit more color there would be helpful? And then I’ve got a follow-up for Beth.

Barak Eilam: Sure. Thanks for that. So yes, we were the first to announce several weeks back the integration of ChatGPT. We are always happy to be the first to announce and see others rushing to follow our direction. And the reason why we’ve managed to be the first one is the fact that we have ENLIGHTEN fully embedded in CXone and we’ve been working on that for several years, and we have pretty mass adoption of ENLIGHTEN, which allows us to relatively easily integrate a variety of tools like Google Dialogflow, that is kind of a different thing, but obviously ChatGPT and I will mention or into the fact that don’t forget that we also have a pretty unique partnership with Microsoft, which I think hinting to also certain elements down the road that we can do on this combination.

Specifically, about why customers will choose or choosing to adopt ChatGPT for CX purposes for CXone is the reason is that if they just try to use ChatGPT as is in the contact center, it’s not going to fly or not going to help much. And the reason for that is that CX is a pretty unique environment and we are using the subset of ChatGPT that allows us €“ allow our customers to benefit from some of the strength of ChatGPT, but at the same time, using our unmatched data repository to have a subset of well-trained ChatGPT with the frontend €“ unified frontend and that we have both to the customer as well as, by the way to the agent in order to access information in a very easy way. So a customer really gets here a win-win situation between the two.

And I can tell you that since we introduced it to the market, we had some alpha customers and then with the announcement itself, we have a lot of interest and already engaged with multiple processes with customers. And as I said before, I believe it’s just the beginning, and ChatGPT is just one, I believe of multiple generative AI solutions that will come up in the market.

Rishi Jaluria: All right. Wonderful. That’s really helpful. And then Beth, apologies if I missed this earlier, but when you think about the guidance for 2023 and specifically the EPS guidance. Can you help us understand what are you assuming in below-the-line adjustments in financing and other interest and all that? Just trying to better understand if you think about the EPS numbers, how much of that is going to be driven by EBIT margin expansion versus below the line adjustments? Thanks.