Let me sort of give a big picture, and then I'll pass it off to Steve. Look, what we're going after, really, as I said in my script, is really going after those projects, which provide the best financial benefits. You've known me for a while, I've never gone for growth for growth's sake. So really, what we want to do is maximize shareholder value on a per share basis. So really, this is an upgrading of the quality of the growth, more than a greater numeric growth. Now I do think that it's very important to understand sort of what market segments we're in. We're in the corporate segment, but we're also very heavily into the data center segment. And this is something, again, we've been working on for many years. We have really very good relationships with key clients, and that is a demand that's growing very quickly. And certainly, that we don't mention in our speech, quite frankly, because it's very early times. But we're really going to go after artificial intelligence as an efficiency improvement in the company. And we have a big kickoff meeting that we're going to have in the next couple of months. But this is something I think we've taken in a very sort of strategic line. Inderpal Bhandari, who was the global Chief Data Officer for IBM until 2023 has just joined our Board, and somebody who is very knowledgeable in the area. We also have Janet Davidson, who's also a PhD in computer science. It's interesting. I mean, right now, with Inderpal, we have 5 PhDs on our Board, which has got to be one of the highest percentages in things that run from computer science to finance to economics of business. So that's what I wanted to put it in. What we're pursuing is returns, we're pursuing value per share. And I think we've been very systematic now for many years in positioning ourselves in a given sector and learning about and preparing ourselves for the new technologies which are coming. So, there's a lot of buzzwords of AI. Well, what's behind this is 5, 6 years of getting ourselves in a position to really utilize the data and have the understanding of the company. So, with that, I'll pass it off to Steve to answer the other parts of your question.