EW: When you're looking at overall technology trends within procurement systems, ERP systems or whatever kinds of enterprise systems these days, you're going to have to get your head out of the weeds of individual pieces of functionality and realize that the way of "tomorrow" is to be able to take advantage of these technology advances like AI, machine learning and even beyond that, prescriptive and predictive analytics, and pure benchmarking. But all of those technologies have data as a basic prerequisite -- and not just some data, but gobs and gobs of data because these machines can't offer predictive insights if they don't have tons of data to consume. They can't actually prescribe actions unless they have a full set of data on which to make those predictions. That's why we say the first thing you'd better be thinking about when considering enterprise systems (whether P2P or back-end ERP) is, "Can it and does it capture all of that transactional data necessary, and is it architected in a way that not only allows you to get value from your transactional data, publicly available data, as well as the transactional data from many, many other enterprises because that's where AI and similar technologies are truly going to provide a lot of value.