AI generates a lot more data, AI consumes a lot more data, but of course, is also probably the only way how you can keep up with that demand. So, think there's really two vectors I see that is kind of shifting how data in B2B is kind of working. One is a shortening of cycles. So the demands on data teams, the demand on data is increasing at a rate that I think is unprecedented. Now with AI, unstructured data becomes available for analytics and so on. So there is this huge need for data to be available much faster, more up to date, more frequently. The other one of course is AI. So now both for the data to be used by AI, for AI to be transforming data, and of course for AI to be part of creating or modifying the data. AI generates a lot more data, AI consumes a lot more data, therefore driving this huge increase in supply and demand for data. But of course, is also probably the only way how you can keep up with that demand by using AI in order to transform and select and make available the right data for a process. And so I think those are the two trends which of course are closely tied together.