Why top AI researchers often fail at building practical AI applications

forward deployed engineer type, changing the processes and adopting the existing service processes to exchange it into software. So you either need to have a very strong technical person that understands the apply the AI, very practical implications of that. And it's sometimes different people from the top AI researchers working on the, let's say, fundamental models itself because application layer and the fundamental layer are slightly two different things. So you need to understand having the existing operational process, how can I reengineer that with, the most progressed existing technologies? So this is number two, and it can be very strong product person. It can be very strong technological person. It's amazing if you have someone that brings in some experience from that industry straight away because then you know already what you are solving and how you're improving that, and you know the kind of income and status quo. And then you write the skill set number three that is required is capital strategy. Capital fundraising, debt to equity,