 So to come together and see thousands of people talking and walking into a room of diverse age and diverse experience, it feels good and it makes me hopeful about the future because people with the greatest challenge to data science is going to be in. We need a diversity of data scientists to have multiple models that are completely diverse and we have to be very responsible when we start to create. Creators are, by default, have to be responsible for their creation. It's a way to get the information out there in a visual way because people, they hear the word data and they like, they probably just play over. I start, yeah, with the zeros. As they see it connected with a cartoon or drawing, it humanizes it for them a little bit and if I can do that, that's great. So collaboration is extremely pivotal. It's extremely important for us to put ourselves in other shoes and see, look at the problem from a different perspective and collaboration as a key to be able to be successful in data science domain as such. You try to do different things only then you find out where your passion lies and just don't be scared of throwing yourself in a situation which you have never dealt with.