Amar Maletira
Analyst · BMO.
Sure. Thank you very much, Bradley. I think listen, as I said, I mentioned to Kevin we are very optimistic about the opportunity ahead of – for us with Generative AI. Now the deals that we have been closing are modest in size from both revenue and bookings perspective, but that's what we expect, right? Generative AI is that its infancy, it's evolving very rapidly. We are at a very early phase, which we call it the discovery and the incubation phase probably, discovery is – is ideation phase where we basically have consulting services and workshop with our customers, identifying the use cases. We are about – we have identified in all about 512, 513 used cases in the last two months across multiple functions and across multiple industries. Roughly around 12 domains, so that's the early phase. Once we identify the use cases for the customers the second phase we call as the incubation phase where we help the customers look at different foundational models look at whether they have the right data architecture and help them also work out the integration with their, with their current processes. So that's the incubation phase. So most of the projects that we are seeing are in those early phases of discovery, or ideation and incubation. I think when this moves into what we call as industrialization, which is moving into the production phase, that’s where we will start see seeing the scaling in terms of the deal sizes, et cetera. And that's the area where there is a lot of monetization. That's why we are so excited about it because ultimately these workloads it’s all – it's workloads and workloads have to run on infrastructure, and there will be a massive requirement of infrastructure across compute, storage and networking. And that's what we are very good at doing. So, listen, I think, we have in less than two months, just to give you a little bit of more color here, as I mentioned my prepared remarks, we have roughly about 250 leads in the pipeline, we have qualified opportunities that are over 50, and we have closed three deals across multiple industries, and in fact, we are closing two more deals by the end of this week. So very good traction. I think the key hurdle for any customer is identifying those use cases Generative AI has foundation as it is, it is going to impact every single function. So there will be massive number of use cases. So identifying those use cases, then the biggest challenge is do they have the data ready. And the third challenge is where are they going to run both their and the training models as well as inferences? And that's where we believe it's going to be on multi-cloud infrastructure, both public cloud as well as private cloud.