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thank you so much Iris and welcome also from my side
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it's an honor and also really a pleasure
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to have the opportunity to speak to you
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um today at the GTC
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and also that there is
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quite some curiosity in the audience
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uh for this topic um the time is a little bit tight
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um I could maybe speak 2 hours about this one
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but anyhow before we start I would like to
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give you a few minute or minutes or a moment
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to think about
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what we heard in the last days
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I guess many of you also participated in the sessions
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there are many innovations many applications
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state of the art technologies and things
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which we want to apply in the future
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in the manufacturing business
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but if we think about this one
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and series production large scale series production
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there are many
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let's say
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problems or challenges how to apply those things
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so if you take a moment and think
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about what in your industry
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maybe at your company
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is the biggest
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challenge for this one
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maybe you found something
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maybe some of you work in the automotive industry
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and at least from our perspective
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large scale application is one of the biggest things
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simulations are already there since decades
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AI to a certain extent already
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we are speaking about since years
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gen AI is the new platform so these are things
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which are not completely new
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still in many industries
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we are not doing them yet from end to end in a really
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sophisticated and daily business
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today in the next 23 minutes I would like to show you
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one way how we believe this is possible
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this is for sure not the way but is a possibility
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so before
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let me put this shortly please into perspective
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where are we coming from
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why are we doing this who are we
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as mentioned I work on before Continental
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and we are an automotive supplier
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in total with 200,000 employees all around the world
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and specifically I'm working in the business area user
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experience and we like to say
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user experience is the new horsepower
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some years ago
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when you bought a new car most probably
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you looked at the engine
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maybe the fuel consumption things like this
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today what many people
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look at when they buy a new car
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is how connected is the car
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what kind of features does it have
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what kind of automated driving possibility
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these are our products and what you see here
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is a sophisticated product called pillar to pillar
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this is our one of our core products
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but for sure also head up this place
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and full digital clusters
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this is important to say because
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in Germany at least many
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many people when you say I'm working for Continental
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they think oh you do tires
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no we are doing much more than tires
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basically everything
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a part of the car which you can think of
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we are producing besides an engine
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and the chassis
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the rest somewhere we have business for this as well
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and this is especially important because
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in this electronic manufacturing environment
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we have challenges which for example tire industry
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does not have
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most of our OAMs produce a new car vehicle or a new
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model variant every 2 to 3 years this means for us
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new manufacturing pros as as new technologies
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in order to build this
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a display is no longer just hardware
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the most complexity of our product is in the software
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so also a transition is happening
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that we are becoming
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more and more from a hardware company
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to a software company
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and we need to adjust on this one
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so this means putting all into perspective
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there are different
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needs in our factories
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needs on the shop floor
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and as I was mentioned I'm working in the industrial
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engineering area
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so everything what I'm telling you about today
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is focusing on shop floor is on operations and on
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let's say in general producing parts topic
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real time data for sure
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is something which is already on their
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since years as well
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still many companies have difficulties with collecting
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really end to end
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everywhere from
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anywhere at any time
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all their real time
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data and if they are able to collect them
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they are maybe not yet fully able to fully utilize them
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so these are challenges
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especially in the automotive industry
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which are now some general statements but I guess
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if you are working in this industry somehow
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you can relate to this
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out of this
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we have certain requirements and these requirements
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bring us now from a more
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reactive manufacturing approach to a
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predictive manufacturing approach
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this leads to some of the biggest things
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which I'm trying to present to you today
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is that we need to start speaking about intuitivity
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how can we transfer all of these AI things simulations
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into our business into the daily work especially
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when our factories have to produce every single day
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parts this is what they are doing
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the right part in the right amount of time
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at the right quality to the right cost
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and
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this we need to bring also to that engineering people
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so the best simulations will not help us
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if we are not able to transfer them
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into business into the real doing
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and this is what we are trying to achieve
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so we need
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kind of a digital factory platform so that we have
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not only a digital twin
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not only a process
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not only one stage which is there
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connected to real time
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we want to have a full factory connected
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I want to be able to sit wherever I am
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in Germany in Frankfurt theoretically on the moon
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I want to be able to collect
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connect in real time
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to the factory and see what is going on there
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and this is a real shop floor use case
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for shop floor people
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for focus factory people for managers
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who are there to operate the shop floor
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we found a solution
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for this topic
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and this is the one I would like to present to you
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and for this
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we have a very simplified overview of an architecture
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so there are different
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things from where we are collecting the data on the
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shop floor there are factory data
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where we also have really sophisticated systems
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like in general and Mas system and manufacturing
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execution system where
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a lot of holistic data is in the quality data
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product data and so on and so forth
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we have product a data
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coming from our R amp
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d department
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and that's what I say when I speak about end to end
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really following an entire product lifecycle
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from a quote process until the product development
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and then the development of
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how I need to produce this product
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so
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these are both things which we want to consider here
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also then after serious production the aftermarket
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and then for sure
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and this is the biggest thing
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I guess here in the center
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so on the left side still sorry
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the line and the station data
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and here we are speaking about
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real time data
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from process and machine
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torque pressure temperature
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you name it all of these kind of things
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then go into let's say a cloud based data lake
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in which we are combining
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all kinds of data so that we have basically
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a baseline set
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this is what we try to achieve here
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because without the data
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a simulation or
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an AI model for sure will not be able to operate
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in the end and this is now where we are using Omniverse
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is as a kind of an aggregator or a platform which
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allows us for the very first time
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to have multi
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platform and cross
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platform cross discipline collaboration also
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and we are using different cornerstones of
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the Omniverse and for sure
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we are also investigating right now into
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some of the new things which have just recently been
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mentioned
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but how does this come to life
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and how is this really going into an engineering
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application where
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engineers can work with the tools they know
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there are solutions on the market also from some big
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German simulation providers as well
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which offer already something like this
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an entire toolbox from end to end
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however if you go into such a solution
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you take a product from the shelf
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and you cannot adjust it
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you are
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related or reliable on one supplier
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you are dependent basically
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and also this is the most important
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aspect from our side
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you have an engineering team
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across the world who have own tools
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own processes own workflows so it's almost impossible
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to
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switch from one day to another without losing all your
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overall equipment effectiveness
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from one tool
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to an entire tool landscape from one specific supplier
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so this is the big advantage here
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that we are basically open source we can
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just program our own plug ins
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with an omniverse
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we are not using this so much for this
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nice rendering and photorealism
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this is all good and nice
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but this is for us at least right now
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the cherry on the cake
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what is for us much
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much more interesting is the aspect of USD
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of the compiler that basically
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any engineer no matter with what tool he is working
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can
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transform his data into USD
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and then interexchange data
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from one discipline to another
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from one tool to another
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and by this you are reaching really an end to end
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approach from product design into series production
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but nice lights are good and for sure I could
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maybe sell you here the world if I'm smart enough
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but I'm not a salesman
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I'm an engineer
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but videos and pictures and
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use cases I guess explain much
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much more than just slides
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so I'm really happy to introduce to you what we call
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the controversy
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so the naming
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the naming is most probably not
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you don't need to be rocket signs for
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metaverse omniverse contiverse
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but omniverse it is
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so what is contiverse
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and this is a video out of our live application
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so what everything what you see here is live
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so it's live on
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our service basically
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even if you would have the link and the continental
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email address
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you would be able
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directly today to access this one
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so what we see here is a way
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how we want to bring
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Omniverse with a graphical user interface to engineers
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and it starts with you log in
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and you have your Avatar
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we see here questionize one of my employees
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and what does questiona have here
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now he has certain activities in the middle
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things he want to do
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he can achieve rewards he can do participate in audits
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so he has certain roles now
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which he can select out in his daily work
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depending on the tasks which he has
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he has
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reviewer mode a planner mode a visitor mode depending
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on what exactly is today
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on his agenda
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out of this
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he is now basically able to select and
291
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in our controverse
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depending on the role you are selecting
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you have now the access to different features
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different functionalities
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different applications
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if we go next and this is now bringing this
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idea to live what I mentioned
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we see a world map
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easy like Google Earth I guess everybody knows it
300
00:11:20,066 --> 00:11:21,500
here you see our current
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producing factory network and the intention is
302
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as I mentioned before
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from anywhere and anywhere
304
00:11:28,200 --> 00:11:31,200
you can access a digital twin factory
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we have the pilot for our
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new mega plant in Novisat Novisat is just
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went life
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into series production one and a half years ago
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so the intention is you click
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you see the most important information of the location
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you see how many employees you see what products
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you see what is the volume you see what is the overall
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effectiveness of the plant
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so you have all of the information of one factory
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at hand in one side
316
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you log in and you see and this is nothing new for you
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it is basically an industrial metaverse platform
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you get and once again
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the focus from our side is not so much on the visuals
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the focus is on the functionalities to have
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an interface which is accepted and intuitive
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to use from engineering
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so we have an Avatar system so
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directly integrated in the Omniverse
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so this means you can meet with colleagues
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you can come together
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you can join one session
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you can group up
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you can interact with this and this for sure
330
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allows not only
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shop floor and engineering use cases this is
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the tip of the iceberg
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00:12:38,666 --> 00:12:41,500
this allows use cases for basically any discipline
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00:12:42,500 --> 00:12:44,300
but we want to focus on the shop floor
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and we want to start with a virtual Gemba
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00:12:47,133 --> 00:12:48,366
on digital twins
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Gemba for those ones who are um
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00:12:51,500 --> 00:12:53,133
familiar with the shoplore environment
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Gemba as a typical term comes from the Japanese
340
00:12:56,100 --> 00:12:59,533
means basically go and see so with your own eyes
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00:12:59,800 --> 00:13:01,066
and virtually
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00:13:01,400 --> 00:13:02,600
we can do this and this was
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especially a thing in Cojona
344
00:13:04,133 --> 00:13:06,700
which starts now to allow us bringing
345
00:13:06,733 --> 00:13:08,733
experts remotely
346
00:13:09,000 --> 00:13:11,333
from basically anywhere in the world together
347
00:13:12,066 --> 00:13:14,166
and this is what you see here now
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00:13:14,766 --> 00:13:17,133
our factory in Novisat
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we were
350
00:13:18,200 --> 00:13:21,733
able now also not only to have one station or one line
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00:13:21,733 --> 00:13:23,366
in the omniverse
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we have the entire factory
353
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and everything so this is fully scaled
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and
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some of these stations and some of these lines
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which you see here
357
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are already connected via opcua
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directly to the network so these are not all
359
00:13:39,733 --> 00:13:41,666
just moving based on a simulation
360
00:13:41,800 --> 00:13:43,500
they are moving based on real time
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00:13:44,166 --> 00:13:46,400
but this we are not doing it for everything
362
00:13:46,400 --> 00:13:48,166
so not everything is here fully connected yet
363
00:13:48,166 --> 00:13:49,166
what we are seeing
364
00:13:49,200 --> 00:13:52,333
but some of the stations as pilots we already connected
365
00:13:52,333 --> 00:13:53,200
to the real world
366
00:13:53,200 --> 00:13:56,100
so full digital twins when there is a line stop
367
00:13:56,200 --> 00:13:57,266
this system will stop
368
00:13:57,266 --> 00:13:59,766
when the line is producing 1,000 parts an hour
369
00:13:59,933 --> 00:14:02,000
this system will produce 1,000 parts an hour
370
00:14:02,933 --> 00:14:04,066
we see here also
371
00:14:04,500 --> 00:14:06,900
something which we cannot do in the real life
372
00:14:07,266 --> 00:14:09,900
with one click access to performance data
373
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you click a line you click a station
374
00:14:12,133 --> 00:14:16,100
you are able to access the performance and not with VR
375
00:14:16,500 --> 00:14:18,133
VR is nice they are
376
00:14:18,266 --> 00:14:20,733
for sure AR and VR use cases
377
00:14:20,766 --> 00:14:22,266
but I don't need to go in the
378
00:14:22,266 --> 00:14:23,766
VR to walk through the line
379
00:14:23,766 --> 00:14:25,466
this is a nice gimmick
380
00:14:25,733 --> 00:14:27,366
but if I do this on my computer
381
00:14:27,366 --> 00:14:28,566
like in a computer game
382
00:14:28,666 --> 00:14:30,900
it is much more intuitive for an engineer
383
00:14:30,900 --> 00:14:32,166
much more accessible
384
00:14:32,866 --> 00:14:34,866
you see one of our own dashboards
385
00:14:34,866 --> 00:14:36,566
you see Powerbi integration
386
00:14:36,566 --> 00:14:38,566
so basically now we have the chance
387
00:14:38,800 --> 00:14:39,600
really to
388
00:14:40,066 --> 00:14:44,000
plug and play any tool you are using also in such a
389
00:14:44,166 --> 00:14:45,600
environment because it is
390
00:14:45,600 --> 00:14:47,366
with the different plugins which you have
391
00:14:47,533 --> 00:14:48,133
basically
392
00:14:48,133 --> 00:14:50,533
completely scalable and completely adjustable
393
00:14:51,400 --> 00:14:54,266
what we have developed with our partner t systems
394
00:14:54,766 --> 00:14:57,566
is also this Avatar system as I mentioned
395
00:14:58,266 --> 00:15:00,700
you have to now have the chance to invite users
396
00:15:00,700 --> 00:15:02,100
you see who is online
397
00:15:02,100 --> 00:15:04,500
who is currently in the contiverse platform
398
00:15:04,500 --> 00:15:06,566
and you can invite somebody just with a click
399
00:15:06,566 --> 00:15:07,900
and then there's a pop up page
400
00:15:07,900 --> 00:15:09,500
do you want to accept my invite
401
00:15:09,900 --> 00:15:12,766
and together with the person you are able now to go
402
00:15:13,333 --> 00:15:15,166
to the shop floor virtually
403
00:15:15,533 --> 00:15:18,300
check certain stations where are the problem shooters
404
00:15:18,300 --> 00:15:19,466
where are the troubleshooters
405
00:15:19,466 --> 00:15:21,733
you could now click again on the line
406
00:15:21,733 --> 00:15:23,000
see what is the data
407
00:15:23,266 --> 00:15:25,066
and you also have the possibility
408
00:15:25,066 --> 00:15:26,966
but this is right now still the first version
409
00:15:27,400 --> 00:15:29,800
to get feedback what do we have to change
410
00:15:30,000 --> 00:15:33,133
you can send out of this system alerts or pings
411
00:15:33,133 --> 00:15:34,966
to the experts which are maybe not yet
412
00:15:34,966 --> 00:15:36,333
able to join you in person
413
00:15:37,466 --> 00:15:39,333
so this is the first advantage
414
00:15:39,700 --> 00:15:41,066
the second advantage or second
415
00:15:41,066 --> 00:15:43,200
use case which I would like to introduce to you
416
00:15:43,366 --> 00:15:45,700
is editing new lines
417
00:15:46,800 --> 00:15:47,466
with Omniverse
418
00:15:47,466 --> 00:15:49,133
we have achieved as I mentioned before
419
00:15:49,166 --> 00:15:51,966
a direct connection of our engineering tools
420
00:15:51,966 --> 00:15:52,966
with the platform
421
00:15:52,966 --> 00:15:55,800
what you see here is a 1 to 1 correlation
422
00:15:56,000 --> 00:15:58,500
on the right side our engineering tool
423
00:15:58,700 --> 00:16:00,200
on the left side omniverse
424
00:16:00,200 --> 00:16:02,366
so everything what we are doing on the right side
425
00:16:02,366 --> 00:16:03,800
what an engineer is doing
426
00:16:04,000 --> 00:16:05,100
in real time
427
00:16:05,200 --> 00:16:08,466
is accessible for anybody who is in the contriverse
428
00:16:08,466 --> 00:16:10,133
imagine use cases like you are
429
00:16:10,133 --> 00:16:12,600
planning your shop floor you are planning a new line
430
00:16:12,766 --> 00:16:14,733
you need to change the layout that these are
431
00:16:14,733 --> 00:16:16,366
easy things layout topics
432
00:16:16,366 --> 00:16:18,500
but if you want to change a process
433
00:16:18,666 --> 00:16:19,866
a robot movement
434
00:16:20,333 --> 00:16:22,166
we heard a lot about this yesterday and
435
00:16:22,166 --> 00:16:23,366
also in the keynote
436
00:16:23,666 --> 00:16:24,700
digital twins
437
00:16:24,700 --> 00:16:26,400
when you want to do an offline programming
438
00:16:26,400 --> 00:16:27,900
and you want to validate this
439
00:16:28,966 --> 00:16:30,500
changing the robot sequence
440
00:16:30,500 --> 00:16:32,400
clicking upload goes and
441
00:16:32,400 --> 00:16:34,100
directly transferred into the tool
442
00:16:34,466 --> 00:16:35,266
this is
443
00:16:35,266 --> 00:16:37,866
where a real application use case comes out of it
444
00:16:40,100 --> 00:16:42,933
creating new line concept in a collaborative mode is
445
00:16:43,066 --> 00:16:43,300
another
446
00:16:43,300 --> 00:16:45,366
use case which I would like to introduce to you
447
00:16:45,966 --> 00:16:46,766
this is
448
00:16:47,566 --> 00:16:49,166
showing a capability
449
00:16:49,500 --> 00:16:53,100
how open omniverses how open conteverses
450
00:16:53,200 --> 00:16:56,000
because we have an internal web application
451
00:16:56,000 --> 00:16:57,966
we call this internally ESRQ
452
00:16:58,700 --> 00:17:00,533
imagine ESRQ like Amazon
453
00:17:00,533 --> 00:17:02,933
but you cannot buy books or TVs or whatever
454
00:17:03,100 --> 00:17:05,166
you can buy equipments
455
00:17:05,566 --> 00:17:08,266
so here we have a standard equipment library
456
00:17:08,266 --> 00:17:09,566
it is our platform
457
00:17:09,566 --> 00:17:11,366
you see the equipment and you can create
458
00:17:11,366 --> 00:17:13,366
often out of the different equipments
459
00:17:13,400 --> 00:17:14,933
drag and drop align
460
00:17:15,166 --> 00:17:17,000
this is what we are doing here in our
461
00:17:17,000 --> 00:17:18,366
web based application
462
00:17:18,933 --> 00:17:19,866
engineers
463
00:17:20,666 --> 00:17:23,366
planners persons in the quote
464
00:17:23,566 --> 00:17:24,000
just
465
00:17:24,000 --> 00:17:27,366
drag and drop a new manufacturing line in the system
466
00:17:28,133 --> 00:17:29,366
and the basic 2d lay
467
00:17:29,366 --> 00:17:31,966
it seems simplified but the basic 2d layout
468
00:17:31,966 --> 00:17:32,966
and this is now what this
469
00:17:32,966 --> 00:17:33,766
important thing is
470
00:17:33,766 --> 00:17:36,300
the basic 2d layout what we are creating here
471
00:17:36,733 --> 00:17:38,000
with two clicks
472
00:17:38,333 --> 00:17:40,600
we are able to upload into the omniverse
473
00:17:40,766 --> 00:17:41,933
so this means
474
00:17:42,066 --> 00:17:43,466
somebody from a sales team
475
00:17:43,466 --> 00:17:45,200
somebody from an engineering team who
476
00:17:45,200 --> 00:17:47,333
maybe is not a simulation expert
477
00:17:47,500 --> 00:17:50,900
can say okay this is how the line should look like here
478
00:17:51,000 --> 00:17:53,133
clicks on transfer
479
00:17:53,133 --> 00:17:54,100
and somebody who is
480
00:17:54,100 --> 00:17:56,100
able to use a simulation tool suddenly
481
00:17:56,133 --> 00:17:56,500
already
482
00:17:56,500 --> 00:17:58,766
has the basic line concept and now can do the fine
483
00:17:58,766 --> 00:18:00,066
tuning and the fine planning
484
00:18:00,300 --> 00:18:01,100
this for sure
485
00:18:01,466 --> 00:18:03,900
especially when we are speaking about engineering ours
486
00:18:03,966 --> 00:18:05,366
is a massive reduction
487
00:18:06,100 --> 00:18:07,900
for sure we have the standard library
488
00:18:07,933 --> 00:18:08,800
from our ESRQ
489
00:18:08,800 --> 00:18:10,900
platform also connected to the simulation tool
490
00:18:10,900 --> 00:18:13,400
so that it's really one workstream
491
00:18:13,566 --> 00:18:16,066
and this I can really not emphasize enough
492
00:18:16,366 --> 00:18:17,166
the main
493
00:18:18,066 --> 00:18:19,966
importance of this application
494
00:18:20,533 --> 00:18:22,766
is not the avatars is not the
495
00:18:23,000 --> 00:18:24,166
surrounding it's not
496
00:18:24,166 --> 00:18:26,666
the possibility to connect it with AR or VR
497
00:18:26,666 --> 00:18:28,366
glasses the main advantage is
498
00:18:28,466 --> 00:18:29,700
the workflow behind
499
00:18:29,966 --> 00:18:31,366
that for the first time
500
00:18:31,700 --> 00:18:32,733
at least for us
501
00:18:32,966 --> 00:18:35,000
the simulations AI
502
00:18:35,166 --> 00:18:36,800
data is coming together
503
00:18:36,800 --> 00:18:39,266
in a tool which can be very intuitively and
504
00:18:39,266 --> 00:18:40,400
easily applied
505
00:18:40,533 --> 00:18:41,866
from engineering people
506
00:18:43,333 --> 00:18:46,200
virtual improvement workshops is our third use case
507
00:18:46,366 --> 00:18:47,500
um is basically
508
00:18:47,500 --> 00:18:50,733
something which we are doing in our business daily
509
00:18:51,300 --> 00:18:54,100
that we are reviewing lines which are either
510
00:18:54,100 --> 00:18:55,133
still in the concept
511
00:18:55,133 --> 00:18:56,733
or also that we are reviewing lines
512
00:18:56,733 --> 00:18:57,866
which are right now in the
513
00:18:57,866 --> 00:18:59,100
series production already
514
00:18:59,100 --> 00:19:00,400
we meet we go there
515
00:19:01,566 --> 00:19:04,566
we go to the troubleshooter stations we try to check
516
00:19:04,666 --> 00:19:06,700
the data why are this
517
00:19:06,933 --> 00:19:08,000
screwing station or whatever
518
00:19:08,000 --> 00:19:09,200
why does this have a problem
519
00:19:09,766 --> 00:19:11,900
this is with the high fidelity
520
00:19:12,566 --> 00:19:14,300
which is for sure nice to have it
521
00:19:14,800 --> 00:19:17,266
also good we can go into
522
00:19:17,500 --> 00:19:20,133
areas which normally a human being could not be going
523
00:19:20,300 --> 00:19:21,733
if the line is right now producing
524
00:19:21,733 --> 00:19:22,566
in serious production
525
00:19:22,566 --> 00:19:24,800
but only you see the issue when it's in serious
526
00:19:24,900 --> 00:19:27,066
you cannot put your head inside of the cabinet
527
00:19:27,066 --> 00:19:30,000
and check what the robot is doing here you can
528
00:19:32,166 --> 00:19:35,100
and lastly or not lastly but one
529
00:19:35,333 --> 00:19:37,600
other point which comes hand in hand to this
530
00:19:37,933 --> 00:19:41,700
is with a few clicks you can start comparing lines
531
00:19:41,700 --> 00:19:42,666
with each other
532
00:19:43,500 --> 00:19:45,200
we have here a selector
533
00:19:45,333 --> 00:19:48,166
in which all the lines from Novisat are in
534
00:19:48,333 --> 00:19:49,566
we just select those
535
00:19:49,666 --> 00:19:51,400
for sure they are now a little bit randomized
536
00:19:51,400 --> 00:19:52,666
at different customer projects
537
00:19:52,666 --> 00:19:53,733
we have at the plant
538
00:19:54,066 --> 00:19:57,133
you compare and you get an easy overview
539
00:19:57,700 --> 00:19:59,066
on what is the line performance
540
00:19:59,066 --> 00:20:00,400
what is the layout of the line
541
00:20:00,400 --> 00:20:01,600
how much top floor space
542
00:20:01,733 --> 00:20:02,866
what is the OEE
543
00:20:03,000 --> 00:20:04,900
how many stations do we have in there
544
00:20:05,100 --> 00:20:08,666
what is the individual performance of every station
545
00:20:08,666 --> 00:20:09,800
what is the output
546
00:20:09,933 --> 00:20:13,166
how much OK parts versus how much NOK parts
547
00:20:13,166 --> 00:20:14,066
what was the plan
548
00:20:14,166 --> 00:20:15,400
so all of these things
549
00:20:15,466 --> 00:20:17,466
and this is especially for us important
550
00:20:17,700 --> 00:20:18,733
because we try to
551
00:20:18,733 --> 00:20:21,100
standardize our lines as much as possible
552
00:20:21,366 --> 00:20:24,000
so we try even though for different customers
553
00:20:24,000 --> 00:20:25,733
to standardize line concepts
554
00:20:25,733 --> 00:20:27,133
and just to exchange the equipment
555
00:20:27,133 --> 00:20:28,900
so then we can start seeing
556
00:20:29,100 --> 00:20:31,500
which standard concept is the best one
557
00:20:32,533 --> 00:20:33,400
and lastly
558
00:20:34,666 --> 00:20:36,266
the detailed planning
559
00:20:36,466 --> 00:20:41,200
also fully connected to Omniverse means that
560
00:20:41,366 --> 00:20:42,166
if you want to make
561
00:20:42,166 --> 00:20:45,300
changes or if you want to test a different scenario
562
00:20:45,966 --> 00:20:46,866
you have it here
563
00:20:47,133 --> 00:20:49,700
and there is no versioning anymore there is no
564
00:20:49,800 --> 00:20:50,800
oh sorry sorry
565
00:20:50,800 --> 00:20:52,466
somebody is right now in vacation
566
00:20:52,466 --> 00:20:53,766
but has the file on his
567
00:20:54,000 --> 00:20:55,266
personal desktop computer
568
00:20:55,266 --> 00:20:58,666
I'm over exaggerating this now but I think it's
569
00:20:59,266 --> 00:21:00,300
everyday business
570
00:21:00,300 --> 00:21:02,333
and here everything is in the cloud
571
00:21:02,333 --> 00:21:03,600
everything is accessible
572
00:21:03,900 --> 00:21:07,333
from anybody at any time from anywhere
573
00:21:12,200 --> 00:21:15,866
yeah as I mentioned contiverse for us is an ecosystem
574
00:21:16,400 --> 00:21:18,400
and this ecosystem is
575
00:21:18,533 --> 00:21:21,400
compiled out of many many many use cases
576
00:21:21,500 --> 00:21:24,266
and this is something where I'm also quite proud of
577
00:21:24,666 --> 00:21:26,966
we are no experts for omniverset
578
00:21:26,966 --> 00:21:29,000
we are no experts for AI it
579
00:21:29,366 --> 00:21:32,366
but we are experts for our production
580
00:21:32,400 --> 00:21:34,133
we know what problems we have
581
00:21:34,133 --> 00:21:35,966
we know how we want to solve them
582
00:21:35,966 --> 00:21:39,200
and we are the ones who have the ideas how we can
583
00:21:39,200 --> 00:21:42,366
bring AI simulations together
584
00:21:42,566 --> 00:21:44,966
and for that reason the four use cases
585
00:21:45,300 --> 00:21:48,133
I just showed you is for us just the beginning
586
00:21:48,333 --> 00:21:49,366
there are many more
587
00:21:50,266 --> 00:21:52,166
maybe next year the GTC there is
588
00:21:52,400 --> 00:21:55,133
another possibility for us to present even more
589
00:21:56,100 --> 00:21:57,200
last but not least
590
00:21:59,400 --> 00:22:01,600
for sure I also would like to speak a little bit about
591
00:22:01,600 --> 00:22:03,966
where do we see the biggest advantages of this one
592
00:22:05,966 --> 00:22:07,800
for sure it comes mainly down
593
00:22:08,133 --> 00:22:12,500
to cost to invest and to engineering ours
594
00:22:12,866 --> 00:22:15,300
as I mentioned the platform is about
595
00:22:15,733 --> 00:22:17,900
to focus on a workflow
596
00:22:18,600 --> 00:22:20,766
so when we see the biggest benefits
597
00:22:20,866 --> 00:22:23,400
it's firstly and most obviously
598
00:22:23,500 --> 00:22:26,066
that we are able to save engineering hours
599
00:22:26,066 --> 00:22:28,200
along the entire planning process
600
00:22:28,466 --> 00:22:29,566
from start to end
601
00:22:30,200 --> 00:22:32,666
but once we are having more and more data
602
00:22:32,666 --> 00:22:35,100
and also AI tools connected for sure
603
00:22:35,266 --> 00:22:36,566
we are expecting
604
00:22:37,200 --> 00:22:39,100
operational performance to increase
605
00:22:39,166 --> 00:22:41,133
cost for shop floor to increase
606
00:22:41,166 --> 00:22:44,700
energy cost to decrease in this case
607
00:22:44,900 --> 00:22:46,500
all of these kind of benefits we are
608
00:22:46,500 --> 00:22:49,166
expecting and we have also made some estimations
609
00:22:49,266 --> 00:22:50,733
with our experts together
610
00:22:51,100 --> 00:22:54,300
and with this I would like to come to an end
611
00:22:54,866 --> 00:22:55,666
and
612
00:22:56,733 --> 00:22:58,733
I hope and I'm really curious
613
00:22:59,166 --> 00:23:01,466
about your questions maybe you have some comments
614
00:23:01,500 --> 00:23:03,100
but I would also be very happy
615
00:23:03,100 --> 00:23:05,900
if you use the QR code and we connect
616
00:23:05,933 --> 00:23:08,200
I'm here still today tomorrow full day
617
00:23:08,366 --> 00:23:10,100
so I would be really open
618
00:23:10,500 --> 00:23:13,766
for an exchange on any of the topic thank you very much
619
00:23:18,333 --> 00:23:20,866
thank you Benjamin for this awesome presentation
620
00:23:20,866 --> 00:23:24,400
now let s open up for a quick Q amp a any questions
621
00:23:24,466 --> 00:23:25,266
in the room
622
00:23:28,900 --> 00:23:31,166
just it's a peripheral question actually
623
00:23:31,933 --> 00:23:34,366
the German automotive industry is building
624
00:23:35,166 --> 00:23:37,500
a certain data interchange standard that
625
00:23:37,533 --> 00:23:39,733
seamlessly connects all vendors
626
00:23:40,566 --> 00:23:43,800
pretty much all exchange of data takes place seamlessly
627
00:23:44,400 --> 00:23:47,100
um I was curious how that place alongside
628
00:23:47,100 --> 00:23:48,466
Omniverse I mean is that
629
00:23:48,933 --> 00:23:50,866
standard built into Omniverse today
630
00:23:50,866 --> 00:23:51,566
can you use it
631
00:23:51,566 --> 00:23:54,733
can vendors plug into your Omniverse or controverse and
632
00:23:55,266 --> 00:23:58,466
are you specifically referring to Catena X
633
00:23:58,466 --> 00:23:59,733
Catena X exactly okay
634
00:23:59,733 --> 00:24:00,566
I guess so
635
00:24:01,133 --> 00:24:05,100
yes so absolutely so Catena X is there Catena X is just
636
00:24:05,666 --> 00:24:07,366
a short Catena X is
637
00:24:07,866 --> 00:24:08,966
an automotive
638
00:24:10,333 --> 00:24:11,366
standard basically
639
00:24:11,366 --> 00:24:13,533
um funded also by the German government
640
00:24:13,533 --> 00:24:14,800
and the intention is
641
00:24:14,900 --> 00:24:15,866
that with Cartena
642
00:24:15,866 --> 00:24:18,366
X there is a seamless data exchange from
643
00:24:18,500 --> 00:24:21,733
basically all suppliers vendors Oems
644
00:24:21,766 --> 00:24:23,866
so this is what Cartena X is in a nutshell about
645
00:24:24,133 --> 00:24:26,366
so and the answer is yes
646
00:24:26,666 --> 00:24:29,300
but um we want to open this
647
00:24:29,300 --> 00:24:32,566
uh controverse in the future also to OMS uh to
648
00:24:32,566 --> 00:24:33,600
our suppliers
649
00:24:34,000 --> 00:24:37,300
um but for sure we have to think about cybersecurity IP
650
00:24:37,600 --> 00:24:40,066
not everybody can do everything in here for sure
651
00:24:40,066 --> 00:24:41,733
and but the intention really is that
652
00:24:41,733 --> 00:24:43,000
there is a seamless data
653
00:24:43,000 --> 00:24:44,200
exchange possible
654
00:24:44,566 --> 00:24:47,366
from our equipment producers
655
00:24:47,666 --> 00:24:50,100
towards us and then towards the OEMA
656
00:24:50,166 --> 00:24:50,666
because
657
00:24:50,666 --> 00:24:53,700
we are thinking about demands of forecasting or supply
658
00:24:53,700 --> 00:24:55,766
chain then for sure there are
659
00:24:56,366 --> 00:24:58,900
thousands of use cases where such a system would be
660
00:24:58,900 --> 00:25:00,700
amazing to come into places
661
00:25:02,366 --> 00:25:03,966
thank you for your question next one
662
00:25:04,666 --> 00:25:05,533
yeah does
663
00:25:06,100 --> 00:25:08,400
whatever happens on the plant floor and the controverse
664
00:25:08,400 --> 00:25:09,366
ever get out of sync
665
00:25:09,366 --> 00:25:11,600
and do you have process to prevent that from happening
666
00:25:11,600 --> 00:25:13,500
or making sure it gets back in sync on
667
00:25:13,500 --> 00:25:14,666
like the same state
668
00:25:15,933 --> 00:25:17,766
so so you're referring um
669
00:25:17,766 --> 00:25:19,166
basically when there is any
670
00:25:19,166 --> 00:25:21,366
out of sync from real time data happening
671
00:25:21,566 --> 00:25:22,566
yes exactly so
672
00:25:22,566 --> 00:25:23,166
for sure there
673
00:25:23,166 --> 00:25:25,333
needs to be some kind of security strategy
674
00:25:25,333 --> 00:25:26,533
some backup plan happening
675
00:25:26,533 --> 00:25:27,566
what happens if
676
00:25:27,766 --> 00:25:29,333
then there needs to be a shutdown
677
00:25:29,533 --> 00:25:31,600
um but since we did not yet fully roll this out
678
00:25:31,600 --> 00:25:33,533
to a large scale we are currently
679
00:25:33,533 --> 00:25:35,133
doing this for one factory
680
00:25:35,133 --> 00:25:36,300
and as I mentioned before
681
00:25:36,300 --> 00:25:38,200
this real time data connection is we have
682
00:25:38,200 --> 00:25:39,666
established I think in total for
683
00:25:39,666 --> 00:25:40,933
two lines fully
684
00:25:41,000 --> 00:25:42,666
and one or two additional stations
685
00:25:42,866 --> 00:25:44,800
this we are currently monitoring still there
686
00:25:44,800 --> 00:25:45,766
so there is no
687
00:25:45,966 --> 00:25:48,400
possibility that somebody is now accessing and
688
00:25:48,400 --> 00:25:50,266
yet there is a standstill or whatever happening
689
00:25:50,266 --> 00:25:52,266
because currently it's still on the monitoring process
690
00:25:52,266 --> 00:25:53,933
but this definitely is on our radio
691
00:25:54,900 --> 00:25:55,400
so there is
692
00:25:55,400 --> 00:25:57,733
right now not a technical solution yet implemented
693
00:25:57,733 --> 00:25:58,733
to answer your question
694
00:25:59,900 --> 00:26:01,266
thank you for the question
695
00:26:01,500 --> 00:26:02,933
any other questions
696
00:26:05,366 --> 00:26:06,166
yeah
697
00:26:10,100 --> 00:26:15,466
yes
698
00:26:17,066 --> 00:26:18,400
yes exactly
699
00:26:18,400 --> 00:26:20,266
this would be this would be the next step for sure
700
00:26:20,266 --> 00:26:22,266
our factories everywhere have sensors
701
00:26:22,400 --> 00:26:23,666
safety sensors
702
00:26:24,366 --> 00:26:25,766
not exactly sure late laser
703
00:26:26,666 --> 00:26:28,900
curtains I think light curtains is the right word word
704
00:26:29,166 --> 00:26:31,700
yes this we have but it's not yet in there
705
00:26:32,266 --> 00:26:34,133
I mean you can go from
706
00:26:34,400 --> 00:26:37,100
large scale to the last tiny bit of sensor right
707
00:26:37,533 --> 00:26:39,200
but the intention really is that this
708
00:26:39,266 --> 00:26:41,533
that this platform is scalable to this level
709
00:26:41,533 --> 00:26:43,366
so that you also have a safety stop
710
00:26:43,500 --> 00:26:44,966
but maybe you don't even want this
711
00:26:44,966 --> 00:26:46,933
because if I walk there as an Avatar
712
00:26:47,533 --> 00:26:48,500
maybe I don't want
713
00:26:48,566 --> 00:26:51,466
the robot to stop maybe I want to exactly see
714
00:26:51,666 --> 00:26:54,133
from an ankle which I normally are not able to see
715
00:26:54,166 --> 00:26:56,066
so it depends a little bit on the use case
716
00:26:56,066 --> 00:26:56,866
which you have
717
00:27:01,200 --> 00:27:02,366
and how much
718
00:27:02,366 --> 00:27:03,333
how much time and
719
00:27:03,333 --> 00:27:05,900
how many people did work on the on the project
720
00:27:06,000 --> 00:27:08,866
from from the initial IDS to
721
00:27:09,800 --> 00:27:11,166
the demonstration that we have
722
00:27:11,600 --> 00:27:13,266
so to be completely Frank
723
00:27:14,200 --> 00:27:16,600
contiverse is an idea which we already have since
724
00:27:16,933 --> 00:27:18,366
a year one and a half
725
00:27:19,533 --> 00:27:21,133
it took us quite some time
726
00:27:21,333 --> 00:27:23,700
to find out what the right platform for this is
727
00:27:23,700 --> 00:27:25,133
there are many many many
728
00:27:25,600 --> 00:27:28,533
let's say industrial metaverse platforms around
729
00:27:28,600 --> 00:27:29,666
which we tried
730
00:27:30,100 --> 00:27:32,900
until we finally reached Omniverse
731
00:27:33,133 --> 00:27:34,733
and what you saw today
732
00:27:36,333 --> 00:27:39,500
taking now the idea itself so that just the technical
733
00:27:39,500 --> 00:27:41,466
implementation
734
00:27:41,933 --> 00:27:44,133
is from October
735
00:27:45,533 --> 00:27:48,000
until today and the amount of people
736
00:27:48,766 --> 00:27:49,766
in my team we have
737
00:27:49,766 --> 00:27:52,200
three people working on this but also not full time
738
00:27:52,300 --> 00:27:55,300
and as we are collaborating with R amp d we have here
739
00:27:55,966 --> 00:27:59,066
the main development team also behind I would say
740
00:28:00,266 --> 00:28:01,066
8 people
741
00:28:03,500 --> 00:28:05,200
6 to 8 people but not full time
742
00:28:06,333 --> 00:28:08,200
so maybe F for FT
743
00:28:09,000 --> 00:28:09,800
something like this
744
00:28:11,066 --> 00:28:13,933
thank you for your question any other questions
745
00:28:16,400 --> 00:28:19,500
cool that's all we have today with Benjamin
746
00:28:19,500 --> 00:28:22,266
thank you so much for attending today's session
747
00:28:27,900 --> 00:28:30,400
feel free to thank you for joining this session
748
00:28:30,866 --> 00:28:32,900
please remember to fill out the session
749
00:28:32,900 --> 00:28:34,866
survey in the GTC app
750
00:28:34,933 --> 00:28:37,733
for a chance to win a 50 dollar gift card
751
00:28:38,100 --> 00:28:40,566
if you are staying in the room for the next session
752
00:28:40,800 --> 00:28:42,600
please remain in your seat
753
00:28:42,600 --> 00:28:45,000
and have your badge ready to be scanned by our team
754
00:28:45,000 --> 00:28:46,266
which one your power point
755
00:28:46,866 --> 00:28:47,866
um it will be
756
00:28:48,100 --> 00:28:50,966
as far as I know the presentation was recorded
757
00:28:51,066 --> 00:28:52,866
and after 72
758
00:28:53,100 --> 00:28:53,766
hours or something
759
00:28:53,766 --> 00:28:56,300
it will be uploaded to whatever Nvidia
760
00:28:56,400 --> 00:28:58,166
we can check it with Iris regulator
52020
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