 company culture plays a big role. This is one of the reasons why we want way more diversity in these companies. It's not just to have people in decision-making teams that are more diverse, but the whole culture of the company needs to change so that these sort of skills, communication, empathy, big ones, all communication skills, presentation skills, visualization skills, negotiation skills, that they really are developed everywhere in the company's area. One of the issues is just simply the idea that data science represents this sort of wave of change of how do I analyze data, how do I make a difference, and the conference itself celebrating the fact that women are taking the step is hugely important. I mean, when I was a graduate student at MIT, I was the first black woman to get a Ph.D. in computer science from MIT, and you know, sort of no women, he really just didn't see women in this area at all. So when I come to a conference where it's huge, it's just huge to see all these walls broken down. I think it's a good surprise to see so much advancement in woman development in data science, comparing where we are and where we were two years ago. It's great to see so many woman speakers and leaders talking about their work in the data science space, applying data science to solve real business problems, to solve transportation problems, to help to solve education, healthcare problems. From that theme as well, from Bill's saying, tell me I can't do something and I will prove you wrong in spades. And I think it's an important message. There's still such a gap in diversity. Not just in diversity in gender and ethnicity, there's a diversity, there's a thought diversity gap that every industry is missing. That was another kind of common theme. And I was kind of a new term for me, thought diversity. I thought, wow, it's, it's incredibly important to bring in different perspectives.