DBTB INT Roland Tritsch

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