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[Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] more sustainable the operational Engineers who make the world’s factories more efficient let’s hear it for the people who lead the companies that innovate for the next generation and the homeowners who run their homes on Smart Energy these are the individuals the organizations who impact our daily lives to them it’s not just about balancing progress with sustainability it’s about bridging progress and sustainability for all through Automation electrification and digitization if we’re going to do more with less every single step counts big and small let’s hear it for the makers let’s hear it for the impact makers [Music] for that reason it’s my pleasure to switch into English and to express a very warm welcome to our Hannah Versa press conference of Schneider Electric and aiva we’re here joined by many people on the booth and we’re also streaming live um it’s my pleasure to be walking you through the press conference my name is Rella OD and today we will be sharing insight on our industrial technology leadership Mega trends that are shaping the world we’re operating in and how Automation electrification and digitalization are making an impact to increase productivity efficiency resilience and competitiveness of industrial companies with that it’s my pleasure to also introduce our speakers for today we will have Peter hervik our CEO of Schneider Electric followed by Barbara fry our Executive Vice President of Industrial Automation of Schneider Electric and then kaspar harzburg our CEO of Aviva after that we will have a Q&A session of which we will hope to have inspired plenty of questions uh we will ask you to keep it to one question per person we want to give as many people as possible the chance to engage and with that I’m my pleasure to hand over to you Peter thank you very much forella good good morning from my side happy to have you at the Handover Fair it’s always an exciting moment for people that are in the industry to come to the world largest exhibition now um of course I want to introduce you to um to the first impact maker that we had in our booth this morning the German Chancellor and the prime minister of Norway um y sto both of them actually operated some of our software that you’re going to be able to see inside of of the booth that is so decisive because software and AI uh paired with Automation and electrification you can will be the impact maker for many of our Industries but let’s talk for a moment what is Schneider all about what’s our purpose why we’re here why we’re here for our customers uh it’s decisive at the moment because uh we need to find a good balance with our clients to um to help them Bridge sustainability and progress in particular in Germany this is decisive at the moment for the German middle stun that we help them to bridge uh the the ideal usage of resources in a cost effective way to in order for them to drive down cost and have the same or more output Edge Neer we call this life is on and uh we’re the partners for our clients in respect to electrification digitization um automation all to drive sustainability and efficiency now um if we take a little bit of a step back and saying what are some of the big schemes that that are happening in the world the mega Trends and I talk about those for a couple minutes because I think they’re very relevant also for the industrial companies here in the country some of the trends are very important in the country but many many of the companies in particular in Germany that is so export oriented this makes a whole lot of sense for companies to focus on that and we’ve said also just to share for our company our own ambition uh that is very high in respect to becoming a company of 50 billion Revenue in um in the foreseeable future we’ve uh we didn’t put an exact day to it but maybe 2027 would be a good thing time to think about this uh and we want to do this of course in a profitable way for um for us and our client because that also means sustainability but let’s talk a little bit of the mega trends that are reshaping and shaping the world because this is decisive to understand I start off with what we call the new Global equilibrium what what does it mean it it means we’re in in a world where we have trade barriers where import taxes um material flows have become much much more complicated and many of our clients are thinking about how can I operate in a world that’s decoupling where economies are decoupling but where I can also resore in order to have resilient operations many many clients uh many many customers out there actually 80% of meaningful companies are thinking of the power of two when they build their supply chains and it’s important when we come to digitization to see how you can connect those because you want to have the same productivity in every facility that you have now the um the evolution of um of wealth is of course driven to a large extent by a growth of population in the world so until 2050 we’re expecting that roughly 1.5 billion more people will be born into a planet Earth plus another 700 million people that will move to urban area so if we’re thinking where this will happen it will happen mostly on the southern hemisphere of the planet those will be large cities that will will be built large infrastructures that will be built of course all digital because today none of the youth will accept a non-digital environment if these numbers ought to happen then we should expect that in totality we will probably need to build a working living manufacturing space of 100 billion Square met and to give you an idea this is whatever has been built in Europe and China combined just to put a perspective on it how big it is and how sustainably sustainable it needs to be needs to be driven it needs to be driven sustainable because of what’s going on with our climate the increase of temperature has been rapid 2023 was the hottest year um since we’re recording temperatures and actually in January this year the the first time in 12 consecutive month the temperature has been 1.51 1.52 uh% above the the pre-industrial temperatures that we had on Earth CO2 plays a big role in it and we’re talking today also how we will drive down CO2 by automating and by digitizing in in that respect and also by the way um at the same time Drive uh drive down the cost uh today already 3.6 billion million people on the planet so half the the the world population is affected by the topic of climate change um how do we resolve it digitization and AI will be a great enabler from from that perspective and it is a great enabler and it will also require that we build a lot of data centers it will require that we put AI into our products it will require that humans and AI are Act together and kaspa will show you later on how we’re doing it in some of our software products this is decisive because it will drive sustainable outcome at a reasonable cost by the interaction of humans and machines last but not least of course all of this converges into the energy transition or energy Transitions and they’re different from country to Country and they’re decisive in particular when we’re looking at Germany and since we’re in Germany a couple words to it the um the the German middle but also the larger companies worry about the cost of energy that is there and we’re talking too often about the supply side of energy so how is energy generated as opposed to discussing how is energy used and can we used technology to drive down the energy usage with the same output this is what we discussed this morning with with the chancellor and some of his ministers we’re doing this for ourselves Schneider in his 160 factories we have an energy consumption of roughly 1.1 ,000 terawatt hours and last year alone we saved roughly 133% of that energy by Energy Efficiency means while our production grew that means 13% of 1.3 1.1 terawatt hours is roughly rough roughly 13 gwatt hours of energy how much is that that’s 10 hours of 10 nuclear power no it’s 10 nuclear power plants for one hour that’s the amount of energy we saved with our own Technologies inside the company and it can be done with many from that perspective extremely extremely important and you can see the savings that have been estimated by the world economic Forum uh that one can have in this period of time uh less than 10 years payback periods sometimes it’s three or it’s 5 years 10 payback periods so quite traumatic in respect to uh to to that one so that’s why we’re saying you know the simple equation to drive uh sustainability is digital with that we mean automation we mean software and we mean data industrial data is so important we combine this with um electrification energy management decarbonization and that means sustainability sustainability is is also it means efficiency it means productivity uh it means uh Greener and it means SM that’s uh what this is all about and that’s what Barbara and Kasper will be talking about further now before we get there um I I’ll give you maybe the three headlines just in German for those who who prefer it the in in in in dland is [Music] Eng there just a s short summary uh in in German since we’re here and sometimes I love to speak German so from from uh from that perspective it it’s important W with that um of course in that as we said you know we go uh digital digital means automation software and data so let’s uh talk and ask Barbara to talk about that element because she’s the expert in that regard Barbara all yours thank you thank you very much Peter so hello everyone it’s always a pleasure and I just recognized some faces from other events like the namur conference we had a more than half a year ago so digital transformation is key and the automation systems that are at the heart of industrial operations are really also key to that one so we claim to be a global industrial leader h technology leader in electrification Automation and digitization and why do we say that first first of all we are really leading with our industrial automations of their portfolio from Aviva and uh I think Peter showed it very nicely this morning to our chancellor who was even pressing a button to save energy secondly we are accelerating productivity in Industry with software defined Automation and thirdly we are bringing a unique domain expertise to our customers providing tailored solution based on their operations and business goals and in addition we are leading experts in energy management and electrification so companies are also managing the implications of the mega trends that Peter just presented so Advanced Digital technology artificial intelligence Automation and data are the key levers for that one however only 26% of the companies can really excel in this area and the rest of it is a bit stucked in proof of Concepts in Pilots and is not really getting the benefit of it at scale so to understand why we have to look into the reality of industrial operations let me draw a parallel imagine your it Department would just upgrade your new laptop every 20 years now apply this concept to Industrial Automation much of today’s automation technology was designed and installed decades ago before the massive computing power we have right now available thinking of a factory or a plant with hundreds if not thousands of pieces of Hardware all this equipment needs to work together seamlessly in production and each piece of Hardware comes with its own code to program so this is a lot to manage and a lot to maintain and the reason why industrial plants are only upgraded in very long intervals between 7 to 20 years so it is a must advancing upgrading and modifying of automation system becomes easier more flexible more agile to be also ready for the changing environment that’s occuring to us a new approach to automation is needed that enables industrial digital transformation and provides the agility to address the complex life cycle of these automation systems in the future soft defined and open automation is the answer as it simplifies the exist in complexity and at the same time protects the past so the objective of software defined automation is a solution that is fully designed to meet an industrial company’s business objective today and tomorrow what are the three elements which really distinguish the open automation from the traditional automation first of all it decouples the hardware cycle from the software cycle and it lets orchestrate the different system running in an addal operations and getting the data and the automation system and then the connectivity that brings the data created by the automation system to run analytics with additional software applications at the edge or even at the cloud so we started this journey back in 2020 with the launch of echostructure automation expert that you can see here now in the background with the different features and it was at that time a big bet we took this bold step because we listen to our customers and their needs to solve problems like compatibility issues across software a fragmented user experience which is leading to longer learning Cycles propriety data restrictions across tools that complicate systems management especially when you have increasing data volume you want to look at for further analysis and then of course skilled labor shortage as Peter mentioned before and the need to attract younger talents to conservative Industries today it’s not a bet anymore it has become reality so customers across Industries are starting to adopt it and in doing so they’re also simplifying their complexity while protecting their current investments in 2024 We are continuing the progress in simplifying and facilitating the transformation for customers with a single skill scalable Industrial Automation environment where the application is going from continuous to hybrid or discrep processes with multi-user access to for enable efficient collaboration so more Engineers over different companies can work together on the same automation project and then of course for process Industries it’s really utterly import to have high availability available for Mission critical processes and then of course an easy transition pass to leverage the benefit of asset Centric design which is really one of the key features when you apply open automation so we invite you to see ecost structure automation expert in action in each of the applications that you can find here on the booth demonstrating how software defined automation is accelerating this digital transformation we have great experts we can show you example in Water waste water in chemical in consumer packaged Goods across the whole Booth here so let me make here a short statement about software defined many players nowaday are talking about software defined automation however we are going even further and have chosen the open automation approach and it’s not only about using Open Standards but also expounding the approach to the old peration technology it has a disruptive element on it by itself therefore it was important to create an ecosystem of different users we call it the software defined automation approach which is supported then by Universal automation. org this is a community of users vendors system integrators who share a common source code to execute edge control application as well to share best practices and experience some facts and figures here so Echo structure automation expert has been the world’s first software defined Universal automation solution however in the meantime 11 supplier agnostic Solutions have been launched by the members of this Association and we started with nine members today in Universal automation orc we have 82 members and I just mention here some of the do members which is oium a system integrator in the energy space Beldon stal and Phoenix contacts besides others so now coming back to the domain expertise and look around this booth here we take here the life science Industries which is highly regulated and the complex production environment it is also faced with the need to accelerate their digital transformation attaining challenging efficiency and also they have to comply with the sustainability goals that are given this year at hanare Fair we have designed our booth as a digital and sustainable life science company compus demonstrating real life application of digital electric and automation through the lens of pharmaceutical manufacturers and across their ecosystem so not only the manufacturing of pharmaceutical products but also the whole chain which includes raw materials chemicals and of course also the utilities who provide the energy to it so you can see on our booth that choosing the right partner can really make a world of difference from digital transformation to navigating through change management to electrification and therefore also Automation and ultimately sustainability as I mentioned in the beginning many companies are struggling with the digital transformation and they are stucked in this in these kind of processes therefore we launched last year our industrial digital transformation Services a team of Highly specialized Consultants that help our customers be it a small a medium or a large company to accelerate the benefits of industrial digital transformation and increase of course the workpl productivity we usually start with one production side with few use cases that have measurable impacts like productivity efficiency or equipment availability when those use cases are proven successful we usually then start to roll them out to other production sites so in conclusion with software defined and open automation we help our customers to simplify their complexity and protect their past Investments which in a nutshell increases their competitiveness so together with them we really want to make an impact on yet you bar unified Operation Center for now don’t worry I will continue in English for those of you that uh that prefer that now um I just introduced Ava the software arm of the Schneider group of Schneider Electric Ava is um the leader really in industri Ral software Solutions with more than 25,000 customers pretty much everywhere you go all over the globe um Ava serves more another key thing to remember more than 90% of the world’s Fortune 500 companies spanning the world from energy power utilities all the way to mining to manufacturing to ship building pretty much anything Life Sciences as we see here pretty much any industry that you can think of now um Ava is driven really by three key enabling Trends one of them is the need not just to have not just to be efficient not just to show environmental performance performance against sustainability goals but also to prove and to document that you have done so there’s a difference you know between proving and just saying it secondly of course it is driven by the need and I’ll show that to you in the next slide uh to have increasingly interoperable connected digitally connected Supply chains a key driver of our growth and of of course thirdly the need to empower to train and to give the right solutions to our next Generation Workforce as they try to make sense of the world that we have created for them the world where the average Factory has 50 60 70 systems software systems through different generations with the Associated manuals and in all of this of course data intelligence actionable insights meaning information you can actually do something with um is key and here it helps us that we have 18 plus years of AI experience experience in using specifically linear models in artificial intelligence that we use to empower and to offer decision support to uh Engineers to decision makers in um in Industry now in the last years the amount of industrial data has grown to a level that is difficult to Faith them to understand 1407 zabt of industrial data is the number this year now for those of you who don’t know what a zetabyte is like me before I looked at this presentation it has 21 zeros I had to look it up it is a significant amount of data now what is even more astonishing with this amount of data is that almost two 2/3 precisely 68% are not used they just hang out somewhere on service this data and these are not all cat videos and Tik Tok videos this is industrial data time series data important data that we could leverage in order to be more sustainable to be more efficient to make progress against the very serious problems that Peter showed us earlier of climate change and so on yet the positive thing is that those companies that do use this data well which are the remaining uh um you know uh one3 actually outperform those that don’t with on average 7% growth or more meaning it pays for a company to be more efficient to be more sustainable very simple math uh it is better to connect to use this data than to just leave it unused both in your Enterprise and across your supply chain now let me give you two very concrete examples one of them is Duke Energy by One Singular type of artificial intelligence Predictive Analytics Duke Energy is a has saved $1 billion over 10 years simply by predicting when turbines are going to fail this sing single catch for this single company which accounts for only 4% well it’s great for them 4% of the US utility Market save them 1 billion so if you were to extrapolate that you would get 20 billion or more of the same savings across the US Energy generation sector likewise in Europe aiona Water Company by using the same technology to do two things one of them is have more efficient together with the Schneider um uh automation infrastructure to be more efficient in the energy consumption of the pumps and then combine that with Leak Detection yeah aiona was able to save uh 20% of their operational efficiency which if we uh put it to the same number as we did for Duke Energy over 10 years would be 100 billion or more of savings in the water sector so these are just two types of Technology two customers with very large numbers now the big question of course is especially looking at the uh the very serious challenge that the planet now has this how can we scale these type of um Solutions further and here our our mission is to allow the world of industry and infrastructure to easily consume all relevant software packages initially those of Ava those of eup in electrical design those of rib and infrastructure construction project and cost management those of some of our AI Partners like twin threads and others and in the future all of the world software packages all brought together on one platform one platform that we call connect it’s a simple name because it connects it connects the world of industrial and infrastructure software all in one place making it easy for for the customer the operator to use software and to switch between different packages to have the data move from one to another it’s open it’s agnostic and it is for everyone now um it will it is covering today with uh more than 177,000 active monthly users all Engineers using the software right it is it enables well it covers the world of uh build operate and optimize so the full life cycle of uh of software and it has many of the really important software such as the pi system the key time series historian of the Industrial World um it has Mees manufacturing execution systems it has the now newly launched Aviva AI assistant that I will demo in a second and many many other such softwares all in one place now how should you visualize how should you imagine this platform let me take you to a a demo an example here you see the unified Operation Center the best way to visualize to imagine the world of connect of a wind farm operator of a sorry of an renewable energy operator with two solar assets you see them here on the continent and a um a uh Wind Farm asset of the cost of uh of horeny in the North Sea now those of you who study wind farms as a business know that this is a uh low margin business on average 1.5 to 6% sometimes lower which means that predictive maintenance knowing when turbines will stop is incredibly important for two reasons one if they’re in the sea they’re hard to reach and secondly if you are in as is the case in Texas and you have Labor problems because your staff doesn’t want you know you don’t find enough people to climb the pylons to fix them so you have to schedule your maintenance very well and downtime is lethal when you are well it’s bad for your margin if if you are in a uh low margin business now here at this level you see um a lot of Enterprise data so this would be the CEO level if you like see you see the operational data summarized the key here is that you have lots of different data all coming together from the world of it this is sap from the world of OT from the world of Time series any type of data visualized in one single page we will now go into a demo where an operator an operator on the Wind Farm sees an issue an issue with a turbine so the Predictive Analytics that we uh use here basically says there’s a potential high temperature event it then analyzes uh the the issue uh the operator being New Uses the inter the industrial AI assist to ask questions if you notice the questions are not simple yes and no does it work does it not work these are objective driven questions and they basically give different options they then access with large language models the manual of this uh specific GE turbine and they summarize different options of what the operator can do with that it then goes to the asset information so this is the information of the actual Nell and goes into the the detail um of the nasel uh he can ask different questions and then the system automatically takes you back to the work order scheduling to sap which can either be automated or as a process step now the operator wants to go one step further and actually go into a simulated training environment in the metaverse to see what exactly needs to be changed in the nasell in this case it’s an electrical breaker and here he collaborates with a a lady uh fellow operator on opening the uh electrical box and replacing the life size depiction of the uh the breaker so what have I shown you here in a fairly attractive graphic rendering uh mind you yeah I have shown you many different Technologies all brought together in one place allowing you to predict well the system predicts to assess to summarize information right and then to take the remedy action both automated via the work order and actual via the uh well actually simulated in the training environment this concludes my uh short demo and uh Speech so in summary Ava the software arm of the Schneider group and I hand over to you thank you very take care um I would like to ask uh Peter Barbara and Casper to join me for the Q&A session may you please take a seat um for the Q&A very briefly if you raise your hand I will do my best to uh spot them in the order and sequence we will also be taking questions from the live stream so um we will have a mix of both please I said limited to one question ideally and also a quick reminder we are in a quiet period hence we will not be talking about financials but you can welcome to join the Q results call or later this week so with that please Frank N from automation magazine SPS uh kaspa you mentioned uh uh especially two impressive uh uh case studies where the companies uh yeah reduce the the the amount of spent money a lot but I doubt that it’s all about AI what would interested me uh is how much would have they uh uh reduce the cost with without the AI uh uh just for just with your Solutions your products is it just the isn’t the AI just a cherry on the cake uh no uh so great question you can hear me well yeah okay great question no the AI is not a cherry on the P because there are two types of AI here you have the Predictive Analytics which analyzes uh the time series data and that’s a core component of the early catches for example of the the Duke Energy example so it’s actually the Predictive Analytics that has given us uh uh uh this return what I showed in the demo then is the industrial assistant um the industrial assistant is key because it it significantly accelerates uh both both the time to knowledge of the of the worker of the engineer right and his his or her ability to deal with many different uh uh issues all at the same time but the case studies uh specifically the the first one is an AI uh case study yeah uh Lucian fororo Society world so just so I’m clear I get one question per speaker correct not Barber get your time my question is for U Kasper um you’ve mentioned you work with support 90% of the Fortune 100 companies and you’ve also shown example Duke Energy on saving $10 billion or x amount of billion dollars over the course of 10 years do you have any examples on small to midsize company 20 people or less on how AI can help or had helped in the past or any use cases that’s supporting the small to midsize companies so I have to look into the use cases on smaller andb we do work with uh of course with uh wonderwear and scada with most of the uh this is why our customer base is so incredibly large um I have to look into the uh the the case studies at this moment um on predictive whether also uh mediumsized companies are um are using it P you want to add something I I can uh I can add something that you know also in large companies many times at least historically they have started their efforts on a plant level and if you think about a plant level it is like a very small company and a large company they need to deliver on their production kpis while at the same time they have limited amount of capital to invest so this is how it started off many years ago of course today uh many large companies talk about digital transformation and you start talking to the chief digital officer and so forth and there’s more of a top- Down decision but many years ago when we started it was all from a grassroot activity if you will and then you know if you if you go into individual plants uh Duke actually started off in one plant the aiona started off in one plant I remember those and those are examples that are 10 years 10 years ago and the savings that kaspa was mentioning was a savings over 10 years of 1 billion and then he said this is 4% of the production in the US that’s how the 20 billion come together just a to put it into perspective and nevertheless as I mentioned the digital transformation consulting services that we are offering usually these are companies with less than 1,000 employees so this is exactly but they don’t like that we openly speak about their [Laughter] cases any question maybe taking a question from the the live stream Peter you were mentioning um Energy Efficiency earlier on examples um of uh how that can be a big impact um question being are there any other cases that you can give an idea of how Energy Efficiency can help companies increase their competitiveness and productivity sure actually actually quite a few interesting cases the this morning I was also talking about a Norwegian company since the prime minister of Norway was here and the company name is Elm they’re a silicon producer and they use exactly the software that we’ve shown to reduce the the amount of energy uh then some of the base technology that is used not with a fancy screen at the end of the day the screen is uh you know many times where um when people have large operating centers or maintenance centers that’s where they want to deploy it but the base of the technology I was also mentioning this morning is actually used in quite a few of the Ministries in in in Germany because we’ve many years ago also you know pushed them to do Energy Efficiency hankle is another example example in Germany that apply some apply some of the technology the the beauty is that meanwhile when we did the first installation probably 10 years ago it would take several weeks to do the installations today it can be done within days uh and it doesn’t matter what control systems are deployed at the client so it’s another layer of the existing infrastructure that’s put that’s put onto it to be able to do it fairly fairly quickly and cost effective so the the um the savings is a direct cash savings that you can use to deploy it thank you another question that has coming here Peter towards you um sustainability is clearly a priority for many companies but there might be also some that might see as competing priority um what is your view on that and how can companies achieve both so I think first of all I think we’re the best example of of doing both I think many people know that we’re considered as one of the top sustainability companies in the world for consecutive 10 15 years we’ve we’ve invested and if I said earlier last year we saved 13 roughly 13% um of of energy this is not the first year we’ve done it so there are years before and gets harder and harder but at the end of the day if you also look at the profitability that’s why I’ve shared it early it um I don’t think it’s an oxymoron quite the contrary I think managing uh and driving your company in a sustainable fashion uh is good for you now and it’s good for the future and it’s good for the for the future owner of of of the company so it it needs to be done no oxymoron I also given the payback periods and we know if somebody starts early um and has not done much on the Energy savings side I found it found it fascinating what what Barbara said haven’t upgraded your PC in 20 years or your factory or your building by the way that’s true for buildings as well the payback periods can be 3 years or 5 years and in three or five years payback period it makes sense even for a politician because that’s roundabout the time where yeah he’s in uh in office Barbara over to you we’re talking a lot about software defined Automation and open automation you elaborated on that already could you add a little bit more like where is openness come in what makes that different and uh and and more about how we as a company are taking this openness forward so when you hear some Wenders talking about soft defined you still have to remain in their ecosystem uh with the old automation standards and maybe you can apply Linux to make the programming or you you have certain um data transfer possibilities but it’s still within a given system now the open that we are looking for is based on I 61499 and that really means you have a different approach also when you program automation so you really go first with the solution the application asset Centric and then you think about how you distribute it on the hardware whereas in the traditional um PLC programming you first look what’s the hardware and then you start programming so it’s really a different kind of adoption how you do Automation and I would say one of the big benefits is really you can detach the software cycle from the hardware cycle so whenever you see a new feature specifically on the edge level that you would like to add be on the control on the compute part you can edit without changing the hardware and if you need more computing power you add the other to part the hardware without changing the rest so for me that’s clearly a big Advantage Plus of course than the openness to bring that data from OT to the it level seamlessly thank you very much for that just to see any hands here in the audience not we have a very engaged uh live um stream uh participants Casper a question um for you in terms of the AI capabilities you showed a great example um not sure how much you want to share already what’s going to be coming next but how are you going to be expanding on AI Solutions where do you see that road continuing so um our approach is to work by use case what that means is we look what is really needed and then we develop the capability that is needed we identify decision support so what I’ve demoed you and what you can see by Rob mcgrey by the way um uh in more detail here here in the in the demo area um as a core uh Missing Link right now in enabling the workforce so it’s the really the infusion of artificial intelligence and human intelligence right that that play together that is for us a core thing now we started doing that for the uh specifically for the pi system as a initial step and we will then roll that out across many of our other um software capabilities as well that’s a first step right now clearly as use cases evolve you you’ve seen the enormous amount of data clearly data services on connect is another big topic for us so uh uh uploading working with and downloading specifically time series and Manufacturing exe execution data in the cloud and then I can envisage AI playing a role in in managing this data for operators so if you want a more long-term prediction that would be one and Casper just one more in the context of Aviva connect question being you know what does the future look like also bringing other companies interconnect sharing data with suppliers with customers for instance to streamline supply chain disruptions yes what’s your view on that yeah our our vision is that connect is the place uh where you easily access data where you easily access software Solutions where you are able to exchange data between software Solutions where you can analyze this data right so I can see that becoming a Marketplace an ecosystem right an industrial ecosystem over the next couple of years the industral ecosystem Peter one more question that’s coming on the question of uh small and mediumsized Enterprises that don’t have the clout to perhaps invest into big steps um what else and what more can the smmes or the middle stun do to really increase that competitiv in these very challenging environments so one of the things we’ve also learned is how do how do we get in touch and how do we help people understand what’s possible and what’s the cost so we’ve we’ve developed what we call a little bit of a Consulting Serv Barbara talked about this very shortly in between what’s important is you know sit together look at the side look at what the challenges are and then propose solutions that are affordable and have a reasonable return on investment uh with that you have a little bit of Consulting expense in the beginning but you you come to a solution that uh is suitable for what you have at the end of the day the technology that we have it’s all about scalability from large from small to large um and um then one needs to look at what’s the actual application but the idea is you start a little bit with Consulting and then you move there as opposed to um you know jumping with both both feet into something that you don’t understand yeah Barbara switching to uh technology as AI machine learning for Automation and uh all of these being hot topics at the moment what does it actually mean for the people working with these Technologies in these environments in the factories and plants what what will that look like how will that impact them I I think there is two two aspects of it one aspect of it is we have customers telling us hey I don’t find any more people who want to work a night shift in a chemical plant so I have to go to autonomous operations and this requires artificial intelligence because there are certain incidents you cannot foresee and then you need these kind of features to make it happen so is it an easy journey I don’t think so there will be learnings and practice about it but that’s the trend there it goes the other aspect is I can augment my decisions and I can make my job also much more attractive so instead of then going through a lot of paper and a lot of uh let’s say asking different stakeholders or people in the plant to make a certain decision I can see it on a screen a proposal from created by by uh artificial intelligence and I can agree or disagree with it or we can improve over the time and I think that gives completely new Believers and also I think it’s a very motivational thing so that people would fear artificial intelligence would place workpl I don’t think at all it will create new opportunities and it will really Aug augment that’s the right English word the workforce in in in the plants and I guess also key topic indeed of attracting new talents absolutely and managing that abely absolutely true any last questions from the audience if not I would uh close the the Q&A um and thank um our speakers for their time at the presentations also remind of a couple of activities that are upcoming tomorrow we will have a press breakfast at 10:00 for uh for the media and analysts in our uh Cafeteria on the life science campus um we will also have a guided tour at quarter past 2 if you want to join it U right in the back we have a colleague standing so you can take a coffee and uh and join that and otherwise I think there’s a whole list of topics that will be coming we have um multiple learning Lounge sessions where you can dig deeper into multiple uh domains and uh and topics and of course please uh take the time speak to the colleagues they have a lot more to share with that thanks a lot it’s my pleasure you here thank you very much for being here [Applause] oh