It's definitely

a crazy world we're living in. And in your work, the book and reflecting on your experiences over your career, I'm wondering if you can talk to some of the most interesting or innovative or unexpected ways that you've seen business leaders and technical founders using data to be able to drive their vision.

Well, I think that what I found was that, you know, what I, to me, the biggest thing was what does it mean to become a data driven organization? And how do you change the culture of people? I guess the thing I would tell you is the thing I learned through that process is the most difficult problem is the cultural transition for people and making organizations data driven organizations, which is one of the reasons why I focus so hard on values throughout the book. You know, I found values to be an important part of running teams and leading organizations. And a crucial tool, frankly, in managing people and managing people and making the right things happen. And when you, with data, you know, you change the way you think about things because the first question you ask, I mean, literally, I get to the point where you've been a meeting at Snowflake and, you know, a couple of years in, we had our data in our centralized data warehouse and we had everything together. And you know, you're in a meeting and people are talking about things and say, what does the data say? And literally, somebody could run a query in that meeting and two minutes later you'd have an information and you'd put a chart up on the screen and everybody would talk about it. Now everybody converges. I do think data can help people reach agreement something. And the thing about it is, you know, I talk about data and knowledge and data is raw information. Knowledge is data that has been analyzed and a conclusion has been reached. And you know, the goal is always to get to knowledge and to have data translated into knowledge that allows you to make better business decisions and do things. Maybe, you know, that's always been a human thing in the past. You know, now that is becoming a machine thing where that knowledge can, and the intelligence can actually aid, that knowledge can actually do the analysis, the intelligence, artificial intelligence can help to do the analysis and create knowledge, but it can also apply the knowledge and take action based on knowledge. So it's becoming all the more important and values are integrated into all of these things. I mean, to answer your question, I think the thing that's been most, you know, to me it's always the people element that is the most challenging aspect of any of these things. But I have found that data is a tool that can facilitate agreements amongst people. If you believe the data, you've got to believe the data. And that's where the modern data stack is really helped because before three different people could be in a meeting and they could all have data and they could all have three different answers. And that really sucks. That really sucks. It's hard to get agreement. When three people are quite convinced that they have data and it's all different. And that's the way life used to be. And the modern data stack has really helped to correct that.

Yeah.