Transcript: DBTB INT Roland Tritsch

i'm rollin twitch I'm the vice president engineering at nitro so for me personally it's clearly the people so obviously we had already a lot of good networking going on and so all of the speakers and attendees are first class um so I think that for me it comes down to what you can do with it obviously we have done a lot of very interesting things let's say with software engineering and computer science over the last let's say 10 20 30 years based on a very good algorithms and very good user interfaces and so on but with the like the advances that we have made in the data engineering space over the last five years we are right now able to solve problems and to provide value beyond what people have been able to think about so far and I think it's not over yet it has barely started so I think that in the next let's say five to ten years maybe even 15 years the development in computer science will be dominated by figuring out how to make better use of data so as I said this morning and let's say it was a short talk and just called it I'm a lucky guy and at the end it's not necessarily that I'm a lucky guy I think we are a lucky guy we are at the right time in the right place if you have a degree in computer science and you want to make a difference you're looking at very very interesting let's say five to ten years that are ahead of us and i would say that for me it would be first that you are just curious you need to be a little bit of for a lack of a better word i would say a Sherlock Holmes where you are just observing like the weirdest things in your data and constantly ask yourself wait a second why is that actually in my data and then the second thing is after you are done with this inquisitive mind set and you have kind of squeezed the last ounce of inside out of the out of the data or potential inside out of the data the next thing is that in general I would say we need to say find ways to become even more customer-focused but that's almost true like for everybody who is doing like software engineering and or computer science so I would say first you need to be very inquisitive yeah to really dig deep have the ambition and the passion to understand your data like inside out and then let's say bridge the gap and let's say understand the customer that would be like the next the next thing you