Beth Gaspich : Yes. Thank you for the questions, Chris. First, with respect to the product gross margin, you will see, of course, that our product gross margin will vary from quarter-to-quarter based on the mix of the products that we’re selling during the quarter. A lot of our products have now — we see the customers buying that in the cloud. And so the mix of what you saw in this quarter is probably a bit more typical of what you would typically see. However, it is a bit more deflated than what you would expect looking ahead. This quarter, in addition to the product mix, we also had some — a bit of onetime kind of nonrecurring cost in the quarter as well. So if you look back on the last couple of quarters in terms of product gross margin, that’s probably more typical of what you would expect to see.
Again, I’ll caveat that by saying it is dependent on the product mix, but that’s probably much more likely as a typical product gross margin in our business. With respect to the financial income that we demonstrated this quarter, of course, we have a healthy cash and investment portfolio. A couple of things to highlight. I would say here what was quite healthy during the quarter, it was a bit inflated. First, we have a revaluation of our non-U.S. denominated receivables and balance sheet accounts at the end of each quarter. So this quarter, we did receive a benefit that’s being demonstrated in that financial income that makes it a little bit higher than we would typically expect by more than — somewhere in the range of about $1.5 million. So you would have to kind of assume that, that will not be likely to recur.
And of course, sometimes that can go in the opposite direction for us. And so we always, of course, keep that in mind as well as we look forward. And then additionally, of course, as you look at the portfolio that we have, our investment policy generally looks for us to hold our positions until maturity. And so the bulk of our positions were invested at a time where the interest rates were much, much lower. So that also needs to be considered as you’re looking at the overall financial income. So those are the 2 key areas to keep in mind.
Operator: Our next question comes from the line of Tim Horan with Oppenheimer & Co.
Tim Horan : Can you just touch on the 2 or 3 maybe key technologies you used in AI to roll out these new products? And can you just talk about how much better the AI products are now maybe versus where they were a year ago? And if you can give something quantitative in terms of maybe success rates with digital interactivity or something like that would be great. I know it’s early days, but any color?
Barak Eilam : Sure. We use — first and foremost, it’s important to understand that one of the most important thing with AI, no disrespect to the algorithms of a specific product, is the data that you have in order to train and build your AI. And that’s the real key differentiator. Algorithms can, of course, improve it, but having the data, having the relevant data, having a clean data is really what make an AI solution a superior one. We have billions and tens of billions of historical interactions, both current and historical completely labeled, completely clean, verticalized for specific use cases. And that’s what makes Enlighten so relevant and so unique in the CX space. And actually, I don’t remember if we demonstrated that during Interaction.
