So here at the bakery we're running an enterprise AI event because the thing with AI is everybody talks about it but there's very little practical application. We work with some of the best early stage tech companies, some of the brightest AI talent in the world who have built amazing products on the ground. It's just a bunch of these corporates we've got here today, don't know about them. And the thing that we're going to do is we're going to really focus in on the commercial and practical applications of AI right now that people can take to market, not some future R&D stuff, stuff they can use right now. Hi, I'm Miguel Martinez from Signal Media. We saw a lot of large corporations but also a lot of startups and how they together can bridge the gap between the amazing machine learning and AI, Danny London and the business problem that large corporations still have. For me one of the coolest things about these types of events is to begin to look at how companies can actually begin to experiment with these technologies before they're at scale. So to find problems where we can begin to prove the value of these approaches and it's great to be able to have a forum where groups from the tech side and from the business side are coming together to look at some of these applications. So the key insights that came out today was firstly the amount of training data needed to create genuinely self-learning algorithms in AI and the second some of the challenges about getting the data sets that people need. The really great news is A, there's some great tech companies right there who can solve some of those problems right now. Secondly, we've got a big data conference coming up in a few weeks time to look out for that. Cheers.