Martin Schroeter
Analyst · Scotiabank. Your line is open. Please go ahead.
Sure. Thanks Divya, and thanks for joining the call. So when we talk to our customers about AI and their plans, we do a lot of work to get them ready, their data architecture ready. We do a lot of work to help them design and test different opportunities. And then when they're ready to go, and I'm going to come back to that ready to go point in a second. When they're ready to go, we help them put it into production, doing all the things that have to be done if you're going to embed AI into a process, you have to understand where your assets are, you have to understand how to transform that application landscape. You have to understand the configuration management. So going from a POC to a run environment is very complex. That's why customers rely on us, because we know most about their systems and our run and transform approach allows them to scale these things. Now the DeepSeek [ph] innovation, if you will its part of what customers are struggling with. But on the list of what their challenges are, are really – they need AI skills; probably number one is how do our customers get the AI skills they need to even try these POCs. They need to understand the data privacy and the security constraints that sit around what they might be trying and there’s a regulatory element to that as well. They need to figure out how to integrate this stuff. And then there is – then there – ultimately, there’s a business case. And to the extent that DeepSeek or somebody else has figured out a way to shorten the training time, sure, that would be a tailwind to a new business case, but there are so many more things happening around the AI space that our customers need to address that it’s just – again, it’s just one of the elements. All of this points to, as I said earlier, all of this points to an increased rate of innovation, which is an increased rate of complexity, which means customers need to deal with the vulnerabilities of their infrastructure and invest with us, as you see in our signings growth, invest with us to be ready for the future. So we’ll see what happens with DeepSeek will see what the world learns about it. Everyone, I think, is trying – our customer base is trying. We’ve helped there. Customer base with machine learning, embedding machine learning into their processes, embedding Gen AI into their process, embedding agentic AI into their processes. So a good tailwind for us. But again, we sit at the base of what has to happen in order for them to take advantage of the opportunities they see.