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The Power of Demand-Driven Facility Management with Autodesk Tandem Digital Twin

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Description

In today's dynamic business landscape, facility management plays a pivotal role in ensuring operational excellence and cost effectiveness. However, traditional approaches to facility management often fall short in meeting the evolving needs of modern organizations. Enter demand-driven facility management—a shift that prioritizes responsiveness, flexibility, and efficiency. This session will explore the principles and practices of demand-driven facility management, showcasing how organizations can use real-time data, technology, and proactive strategies to optimize their facilities' performances. Participants will explore the key components of demand-driven facility management, including space utilization analytics, energy management, and sustainability initiatives.

Key Learnings

  • Learn about the fundamentals of demand-driven facility management.
  • Learn about enhancing space use through analytics and flexible workplace strategies.
  • Learn about harnessing technology for proactive, energy-efficient, and sustainable practices in facility operations.

Speakers

  • Avatar for Marius Jablonskis
    Marius Jablonskis
    Marius is passionate about the technology and the way how it can be leveraged to challenge the “status quo” in order drive transformative innovation in the industry. Being an analytical thinker, he is driven by curiosity to get to the bottom of things and has capacity to that from both micro and macro perspectives. Constant search for new challenges resulted in more than decade long international experience within digital transformation, technical and business consulting for architecture, engineering and construction industries. He has unique problem solving and decision making abilities when operating in highly dynamic environments, while remaining focused on balancing risk reduction and innovation to maximize value.
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      Transcript

      SIVA KOPPULA: So welcome to the session. Our title for the class is "The Power of Demand-Driven Facility Management." I'm Siva Koppula. I work as a customer success manager within the Tandem team, which is our Digital Twin product.

      And with me I have Marius and Frode, who are from Norconsult. They will introduce themselves when they start talking or presenting the topic. Next slide, please.

      So this is our safe harbor statement. Most of you might have seen this many times, just to say that during this presentation, we might be making some statements which are more of our intentions and plans, and hence any purchasing decision should not be made based solely on this presentation.

      So you all might have heard about the Digital Twins. So the thing is, what is the context? Why is it such a big thing or why is such a big deal? And I just wanted to cover some basic use cases that we are hearing from our customers, particularly from owners and operators.

      So first thing we hear or first thing we want to address here is lack of data continuity across different phases. As you all know, a typical building life cycle includes planning, design, construction and build, operate, and then moving to renovations during the next capital planning project phase. The BIM has more or less addressed the challenge between plan design and build phases. I think we do have more matured workflows that are ensuring data continuity from design to construction phase.

      However, when you move from build or construction phase into operate phase, we still see the workflows are broken. Traditionally, what gets handed over during operate and maintenance phase is a bunch of documents, like Excel files, Word documents, JPEGs, videos, PDFs, drawings, Revit models, BIM data, and so on. And the operations team has actually no idea about what to do with this because they are not BIM technicians, they are not BIM managers. They don't understand the complexities of the data, particularly the complexities of detailed engineering data that gets handed over to them.

      So that leads to issues such as fragmented data across the different project phases. And as a consequence, that is creating inefficient workflows for updating and managing project information, difficulty in maintaining a cohesive project history, and so on. Next one, please.

      The other use case we hear is limited BIM knowledge and expertise, and that acts as a hindrance for the project collaboration. So for most of the people who are listening to this may be coming from BIM background, in which case you would be familiar about visualizing the 3D data, but for those who are working in the operating maintenance field, it is not so easy. It's not so obvious.

      It's quite hard, and quite often they don't know what to do with this massive BIM models that they get handed over with. And consequently they remain unused. Most of the data is remaining unused after the handover.

      And we all know the design build phase is really a very small part of the asset lifecycle, maybe 5 to 10 years, depending on the size of the project. But for the rest of the 50 years or 100 years the asset is doing is in operating maintenance phase, and that's what we would like to use this BIM data throughout the asset maintenance life cycle. And also, what we wanted to say is, we don't expect people in the operating maintenance phase to be BIM experts, just like when you're using Google Maps, you're not expected to be a mapping expert. You're not expected to be expert in traffic network analysis or something like that. You just visit your Google page, specify from the location, and it does the rest of the things.

      We think the Digital Twin should do a similar thing for the owners. So it should hide all the complexity, all the difficulty of understanding and managing BIM data, and it should simply be a simple to use user application for owner operators. Next slide.

      So visualization might seem something like an obvious thing, particularly for people coming from BIM background, but it is not so obvious in the owner/operator field. Quite a lot of facility managers, quite a lot of operations managers lack these basic tools to visualize their entire facility in context. As a result, they still use very traditional methods of diagnosing the issues, finding the information, and so on.

      Because they lack these visualization tools, that leads to issues such as reduced collaboration, and they can't engage the senior management. And they are still relying on traditional methods to convey the information, which is actually quite a challenge. And as a result, that leads to delays in decision making.

      And also, quite often, all of this data is handed over to the owner/operators after the construction, during the handover commissioning phase. And up until that point, they had never seen this data. Consequently, that leads to decreased trust or lack of trust in the data as well. So having a tool like a Digital Twin that allows them to have an early access into the project data would go a long way in not only building the trust, but also ensuring the use of this well-designed BIM data beyond the construction phase.

      And I'm sure most of you would be familiar with this, the challenge of data handover. It's almost always an afterthought. And when it comes to data handover, there's a lot of panic. How do I share all of this information with my client, with my owner?

      It's not only stressful. It's also delay in sharing the information. And it's difficult to get all the information across to the client. Now, I'll pass it on to Marius.

      MARIUS JABLONSKIS: Thank you, Siva. So definitely, everyone most likely has their own experience with this issue of handover. I have a first-hand experience. It's a funny story.

      That was one of my first jobs I had as a summer intern. While I was studying, I worked in a construction project, building a huge plant, and I got the task, as a student gets tasks, to work with commissioning of that plant. So my task was running around with a bunch of folders, printed documents back in the day, and looking up in 7-meter high ceilings, trying to find install components and make sure that they're coming from a right installer. So apparently I did the boring job good enough, so I got the job offer.

      But I had to decline it because, that didn't align with my ambition, so I think that's the kind of a problem we've been sweeping below the carpet. Somebody has to do it, and it's not a fun job to do if you don't have a structure in place, or the right tools, for that matter. So talking about insights, how do you understand what is happening in your facility?

      Here is an example of another project. It's a operation lab where we actually employed many different tools. State of the art sensors, the room is packed with that. In addition to that, we're running CFD analysis and others. So you can see that to understand the data in this kind of a busy [INAUDIBLE] is not really simple task.

      And even if you try to remove the noise and say, OK, but let's focus on this particular part here, it's not necessarily clear from the first moment for the others that you try to convey this data to. Like, what are we actually talking about? And then connections between those points often are made manually, so then, again, it introduces a potential for both error and potential for misinterpreting the data in a wrong way.

      And again, state of the art facilities, automated workflows, very often you still actually control those things with 2D schematics. Like, nobody has, Shiva was mentioning earlier, not necessarily outside of the how to say BIM environment, not necessarily expect to have [INAUDIBLE] and everyone learns to use schematics. And part of the problem, again, is there it's not directly insightful. You need to familiarize with those schematics to understand what you're looking at because it's not how it looks in reality.

      And the other part is, again, the data flow. So those sensors produce a constant flow of data. And without actual insight and focusing on what you want to look at, it's just the noise. So it's too much of a data.

      So again, the digital twin, we keep on saying the word, but do you really agree what it means to us? And how do we gain value from using it? So one of those little examples that was kind of an eye opener for me was, OK, so graphs, they're great. You can overlay them, you can look at a different things, find different patterns in them.

      But in the same moment, just bringing it to the 3D world, first of all, it looks like it's built. The second of all, it gives new possibilities to trace and find the cause of the problem, saying, OK, but if I have a heat-related issue on one side, I can actually visually trace those systems back to its cause and really understand the cause and effect way better.

      Again, we're not saying that the graphs are obsolete by any means. Still they have a great possibility to overlay multiple things and look and gain insight from the graphs. But in addition to that, the contextual aspect, when you look at, for example, heat maps pinpoints you straight to the point where you need to be focusing on. So that really provides value, value for both communicating and understanding what's being communicated. And we talk about Tandem Connect, and here over to you, Frode.

      FRODE TORRESDAL: Yes, thank you. Yes my name is Frode, and I work as a developer in Norconsult. So we're going to touch into something that is not quite development, but I will come back to that.

      There are two challenges to making digital twins repeatable. The first is having good, clean asset data, and that is done with Tandem. And the second is establishing bidirectional connections to the myriad of solutions an owner uses in their operational ecosystem.

      This is a significant gap that the Tandem Connect technology helped us close. Tandem Connect include a big library of built-in plugins for existing systems, such as Schneider, Johnson, Disruptive Technologies, and interfacing with systems that use typical protocols, like MQTT and BACnet. And the next slide.

      And by using Tandem Connect, you can securely manage the data across complex and fragmented business systems, protocols, networks, and formats. And Tandem Connect is an integration platform. It connects information technology and operational technology to Tandem, and it removes the technology barriers with a no code/low code environment for data pipeline authoring.

      And here is where my coding experience also come into play because you have to do a little bit of coding to get these things working, but not a lot, a lot less if you do it in any other way. And it is one secure place to manage your data. And instead of a one-time cost plus maintenance, you will have a predictable monthly payment, making costs much more manageable.

      And on the next page, we get you an idea of how Tandem Connect works. Let's run through a very simple example. We will use a free Norwegian Weather Service, where we can get both current and historical weather conditions.

      So in a typical Tandem Connect flow, we will start with scheduling how often the flow should run and some data to Tandem. Could be every minute, once per hour, once a day you choose. And next.

      So then we call the HTTP service, getting the weather data from a specific location. We see how this can be done in this slide. It's very simple. It's just a simple URL call.

      And then we transform the data from the Weather Service, typically with some simple code, to a format that we can send to Tandem. And finally, we use the Tandem Connector to send data to Tandem, and here we specify what facility to send it to. It is also important to notice here that to send data to Tandem, you will need to have defined an Autodesk Platform Services app. That is the application that connects everything together. That next slide.

      And when the flow is set up, it automatically appears in the specified Tandem facility. All the sensors information in one portal makes the digital twins both repeatable and accessible. Before Tandem Connect, we typically use the Microsoft Azure IoT. It's a lot of different Azure services to set up and questions about who should own the Azure account, who will administrate it, and who will maintain it, what will it cost.

      Using Tandem Connect takes away a lot of these technical pains. You don't have to maintain the code. Everything is maintained by Autodesk.

      The one pain that, though, still remains is to get access to the sensor data from the building owners, and do not underestimate how difficult that could be. We now see that we use more time getting access to the data than actually setting it up for the digital twin. So this is a brief overview of how Tandem Connect can simplify your digital twin, and now it is back to Siva.

      SIVA KOPPULA: I just wanted to talk a little bit about scan to BIM process. As you know, most of the buildings are already existing, so the new construction is relatively a small percentage compared to the total number of existing buildings, at least in the Western world. So I just wanted to cover both the workflows on how you go about creating a digital twin.

      So if it's a new build, then you're typically going through the process of design, construction, installation, handover, and operate and maintain. The traditional workflow, or in the traditional workflow, most of the time the handover is the stage when you actually transfer the data to the owner. And the traditional thinking is also that's when the digital twin is getting created.

      But actually, what you can do with technologies like Tandem is once you create your BIM data during design phase, you can use that data to create your digital twin. And when I say you can use that data, you are literally just connecting, pointing to the data and connecting to the data. There's nothing else involved or nothing else required. So there is no extraction, conversion, translation, importing, exporting, none of that. You just point to your data, and then Tandem creates the digital twin for you.

      And then if there is a design evolution happening, you can also use Tandem to automatically update the digital twin based on the changes that are happening during the design phases. It's just a single click button. You get notified of the changes in Tandem, and then you just click a button and update the data or the digital twin.

      But I think the greater value of digital twin is during the construction and installation phase, where you are now generating new information on those assets. For example, if you are installing lifts, then you would want to add information such as the lift installation date, what is the warranty, what is the manufacturing spec on it, where is the certificate that says the installation was done to the standards and so on. And all of this information in a traditional workflow is probably emailed or sent through paper copies that gets filed in filing cabinets and so on.

      But with digital twin solution, like Tandem, what you could do is you could expose a view for the lifts, for the subcontractor who is working on the lifts. And this is just a web browser link, so they don't need to learn any complex software like BIM or anything for this, so they just use a web link for that. They go to the link. They only see the lifts and any other contextual information you might want to show them.

      They click on a particular lift and add the metadata against that. So that could be who installed it, when was it done, where are the documents, upload the pictures, images, videos, whatnot. Everything can be done by themselves. So thus you are now able to capture the information at the point of creation and also by the people who are actually responsible for the information.

      All of this means your handover process is now happening in a continuous way, right at the time when the data is generated, and also by the people who are responsible for the data, which means there's a much lesser scope for errors and data quality issues and so on. And also, since you are able to show this to your client right at this stage, they will have a greater trust in the data when they finally receive the digital twin during the commissioning process.

      So during the handover process, you could still use the digital twin for some data validation exercises. There are tools within Tandem that will help you to validate the data completeness checks and so on. You could use those things to build further trust in the data to demonstrate compliance to your customers that you have actually providing the information and they can actually check here.

      And then as an add-on service, you could then say, during the operation and maintenance phase, we will help you to connect different things, smart technology, like sensors, like IoT devices, like VMS systems, and so on to this digital twin so that then they can do some real-time and remote monitoring of data of assets, and then use data-driven decisions for that. So that's for the new build.

      But if it's an existing structure, the way you would do that is you will scan the building. And then while you're scanning, also make sure you are capturing 360 images, which is fairly normal, fairly standard. In these days, whatever scanning technology you are using, most of them allow you to capture this 360 images as well.

      And then depending on the use case, and that's where the requirements become important, you start creating your BIM model. So you don't need to have a 100% complete BIM model. The BIM model should be suitable for your requirements.

      So if your use case is more around indoor climate monitoring, like you want to monitor temperature, humidity, CO2 levels, and then you want to monitor space occupancy and access control and so on, then you only need a model of something like 200 or 250 LOD, or Level Of Detail, and that's fairly less effort intensive to create those things. We have tested this workflow on our own office buildings in Birmingham, UK, and we spent all the way from scanning to creating a BIM model for LOD 200, 250 level in about two, 2 and 1/2 days. So it's not such a big barrier as people think to create a BIM data from scan or even to scan technologies to allow you to scan decent size buildings within half day to one day effort, actually, especially the wearable ones.

      And then from there on, you can also augment your BIM data with some mesh objects. So mesh objects, you could use data that is not critical but still required for your, I don't know background information or contextual information with realistic mesh objects and rendering. So you don't need to spend the entire effort of converting that into BIM elements because they are only there for background or context, and hence you can use mesh objects. And even for these mesh objects, you can augment them in Tandem with additional attribute information if required.

      And another key thing to remember is when you're creating a BIM model for owner/operators for maintenance, you just make sure that you are only adding basic information in the BIM model to identify the asset. This could be a unique tag or asset ID, and that's all you need in the BIM model because the rest of the information, you can add that in Tandem. And because it's an existing building, it's very likely that you have that information already in some other systems, maybe in Excel files, maybe in some other databases. So what you can do is you can extract that information from the systems and directly import that into Tandem, and hence you don't need to add all of that metadata information in BIM, except for the basic identifier.

      And once you do this, then you can connect your sensors and smart technology to the buildings as well, same as you would do in other use case, and then continue to use it during the operating maintenance phase. And then I pass it on to Marius.

      MARIUS JABLONSKIS: Thank you, Siva. Again, I feel like we're living the story. So talking about existing facilities, a lot of them, actually, are already built, and this is one of the examples. Again, it looks like I'm relaxing here. What I'm actually doing in the picture, I'm controlling the laser scanner.

      And that's existing facility where, yeah, there's a lot of pipes. And again, I would call it very traditional way, so scan the twin. You can make a scan, you can actually explore it in multiple tools, you can extract the dimensions. Then you can add that in your authoring tools.

      There is automated routines to extract pipes. There is a possibility to model it from the scratch. And then once you have your model, as Siva was saying, you can actually send it over to Tandem, as simple as that.

      In addition to this traditional way, I would say we've been employing mesh possibilities more and more lately, meaning that in a complex environment, sometimes we don't have the capacity or the time, for example, even spend a day or two for modeling up the systems. So instead of that, we're able to take in direct point clouds, and many of those tools, they have possibility to export the elements that you select or the areas or the building into a mesh. There in the bottom, you see an example of the cable bridge. Instead of remodeling everything that was not value adding. In that particular case, we just needed to have a context to lay out other pipes, process industry project around it. And that was exactly what we needed, just extracting the mesh and using it in further modeling tools.

      That both, again, provides us with millimeter accuracy towards making sure we're not making and reducing unnecessary collisions. But in addition to that, in the operation and maintenance context, we can actually connect the metadata directly to the mesh geometry. So again, it's for functions as well as it would be an actual model.

      And as I said, it's actually a really great tool when you need to come up with solutions fast without focusing on all of those, it's so difficult to build the model, and there is a big area, and et cetera. But let's focus on what's really important. And as Siva was saying, it doesn't have to be complex. We can be going in a matter of several days.

      And again, open integrations, so what does the owners really want? I think it's kind of a leading question, but owners really, what do they need is efficiency. Nobody has time or budgets to spend on technology use here to implement something and wait if we'll be able to see any effect. Everyone wants to go in and refurbish their, for example, existing facility to the point where they can draw operational insights in a better way than they been able to do that earlier.

      And again, we've been sort of struggling with that many years ago when we were saying, OK, so the concept is not new. We can do this and we can do that. But in reality, for example, for our company, consulting company, we're not centrally authorized to install things when it comes to electricity. We're not able to lay, how to say, sensors and connect cables to them.

      And even if we would, the price of a cable, the electricity cable, as soon as you connect hundreds of sensors in a building, that's quite significant cost. But again, times have changed. So there is many sensors that is battery driven, small, nail-size sensor that can be placed that costs nearly nothing. It can be placed wherever you want. And in addition to that, the battery lasts for, like, 16 years, so digitalization strategies are shorter than the battery span on these devices.

      And what customers really we see, how to say, started to focus in on is they don't want to rely on one supplier that provides both sensors and platform and the hardware and the rest of the components. They really want to have flexibility. They wanted the solutions would be open and easy to integrate. If they decide to switch to a new sensor, they want to have it simply done because maybe the change or the needs have changed over the time.

      So again, what this really, how to say, helps us once you integrate your facilities with sensors and connect all of the parts in one open database, enabling digital thread that Siva was mentioning earlier, that's kind of a key. And this unlocks really a new potential. So instead of looking and drawing the conclusions from the data you have, like one power meter and then square meters in the whole building, now you can really actually explore different ways, like saying, OK, so what's actually occupancy of that building? What's the usage? What is the different aspects.

      And you can really gain insights from the data in a new way and way faster than before. And the fun part, again, in addition to that is that additional technologies, once you have the entry points, as it was called, BIM or the model, you can really explore the whole, how to say, additional options. This is one example from our building where we actually sit. So the building was refurbished and we got lots of open spaces, and our facility managers, they got complaints from people in particular floors complaining about the noise from ventilation.

      And facility managers were scratching their heads like, first of all, they said, OK, do we know what was built, what's behind the ceiling? The second part was like, OK, but why do people complain here and there, but not in the floors in between? So then, again, once you have those models, it's very simple to export it and integrate it directly to, for example, the XR environment.

      And then really can look into the different solutions, look into one floor, see what's behind the walls. And what basically facility managers realize, that actually the piping, even though you assume that they were exactly the same, it was different. It was some particular dampeners that was not present in certain areas. And there was, how to say, insight gained by technology.

      And from there, again, we unlock additional value. So let's talk about twin transition. So again, it's sustainability and demands that we need to reach with the sustainability. It's not easy. We need to really go a little bit beyond just measuring things and reporting.

      So we see that digitalization or the digital transition really is kind of an accelerator for sustainability. It's really, how to say, important to look at those both things together. So with that, we say it's not only the energy consumption that people kind of focused on, only saving money here and now. Of course, it's a big motivator, but in the same moment, we need to be smarter about how we reuse materials, how we look into, how to say, our buildings. And how do we derive the difference.

      So let's say you have the model built out, and it's very easy to just query the data from a different perspective. Let's say I want to look at a windows. I want to really understand what type of windows, window frames I have in my building because I need to exchange them. Or, for example, I have a possibility to reuse some materials due to the reconstruction.

      So again, it's really different possibilities once we have the model already there, looking into how to derive additional value. So Tandem, we see, it's a great media that is kind of fusing those both sustainability demands and IoT part together, enabling the twin transition. Over to you, Siva.

      SIVA KOPPULA: OK. Thank you, Marius. So continuing from what Marius was mentioning earlier regarding the drivers or transition or uses for [INAUDIBLE] another thing on the continuing the sustainability thread is around, how do you calculate both embodied carbon and operational carbon. And there have been some methods today, but most of them are pretty crude, to put it in those words. And mostly, they are relying on energy bills and things like that to calculate what is the operational carbon.

      With tools like Digital Twin, like Tandem, what we can now do is we can be more granular and more detailed in the way we calculate these things. For example, the embodied carbon one, of course, you can use the facility templates with in Tandem, create all the parameters you need for the embodied carbon, and then populate the information yourself if you want to do that, that's obviously there as an option.

      But they have gone even one step better than that. So there are tools like EC3 tools. Maybe some of you are aware, otherwise you can just Google them, and you will find there are dedicated resources who are actually capturing this embodied carbon information for different materials. So you could then specify, OK, I'm using doors of this material or this make or other construction materials, and then they will tell you what is the embodied carbon for those materials.

      So you could link up those things directly with Tandem so that your embodied carbon calculations are now more, let's say, industry accepted or based on industry standards. And all of that is coming automatically into tools like Tandem for you. And when you talk about the operational side of the carbon, then most of the people, like I said earlier, are using very crude methods for that, and mostly only based on energy meter readings or energy bills and so on.

      With Tandem, you can be very, very granular. First of all, you could calculate the energy consumption, not only across the building, but also across within different parts of the building, so you have a much better insights on what's happening. But energy is only one parameter or one factor that is contributing to the operational carbon.

      There are other things, for example, like water consumption, like for example, occupancy, how many people are in the building, and also even things like car parks, so how many people are driving to the workplace and using their own transport for that. So all of these can be now factored in when you are doing your operational carbon calculations, and hence they are much more realistic and much closer to the real world. Next one, please.

      So I just want to give you a little bit of more insights onto what is happening in terms of the Tandem and the Digital Twin product itself. Today, this is a five-step maturity model. Some of you might be familiar with this because we use this fairly standard or when we do our presentations around Tandem and digital twins.

      So the descriptive twin is basically a byproduct of your BIM process. So if you're doing BIM in the right way, then you almost end up with a descriptive twin as a byproduct of that. So descriptive twin has all the geometrical elements with all the metadata that has been collected or created during the design phase and the construct phase, and also ideally the installation and commissioning phase, so all the element parameters, basically.

      The informative stage is when we start connecting the digital twin with the physical asset. And this connection is happening using operational technologies, such as sensors, IoT devices, and also using technologies such as VMS systems that may already be in place, lighting management systems that may already be in place and so on. So this is where the informative twin, where it gets connected to the physical asset using these various OT technologies, operational technologies.

      By the way, you can also connect your digital twin at this stage with IT technologies, more traditional systems, like CAFM systems or FM systems or IWMS systems or databases and so on. So you can do both IT and OT integration at that stage. And as Frode was explaining earlier, the barrier to do this integration is really lot less now using tools like Tandem Connect, which Frode had shown earlier during this presentation.

      So the next thing, what we are working on this year is going up the maturity scale to predictive twins. So predictive twins is where we are trying to focus more on insights. So now that we are able to collect all of this data in real time, we want to use this data and draw some insights in the first place. So drawing insights is using how can we visualize this information in a easily consumable way, which is what Marius was explaining earlier, how there has been a change in the industry and how information is being consumed over the decades.

      We started off with charts and documents, then moved on to pie charts and graphs and so on, and now the trend is to visualize the information in context or contextual visualization of the information. So a lot of predictive phase will focus on that. And also we will continue to work on that using technology such as machine learning and AI will be also part of this. So that's the focus for maybe this year or next year as well.

      And then thereon, we'll be focusing on simulation capabilities that will come in as part of comprehensive digital twin. And autonomous digital twin is when it's able to do some analytics based on predictive insights, run some simulations, and then take action automatically, and then inform the owner of the actions that are taken. So that's future. That's not now, but that's our journey in terms of our digital twin. OK, over to you, Marius.

      MARIUS JABLONSKIS: Thank you, Siva. So again, we've been working, as you seen in the, how to say, chart before that Siva was showing. It's not new. It started years ago, and we had some good time to actually approach the market and look into possibilities across different spectrums.

      So Norconsult, we're a multidisciplinary consultancy company, so we operate in all of the energy infrastructure, buildings, and all of the other market areas. And you can see some multiple examples. Here again is where we apply the Tandem, so everything from process-based factories to actual buildings, where would it be comprehensive hospital buildings or even research facilities. So we've done those things, and we see that, the value is there.

      And by focusing on not creating this huge, very complex thing that takes time and needs strategies for implementing, we acknowledge the following things, like technology is actually here. So the technology is in place and it can be used today. And it's way easier than before, not even to create, but even to reuse and maintain the data. So once you've built, for example, integration for your weather data, you can simply use very simply the same workflow to another project.

      The way how we communicate with the stakeholders, that changes as well. So it's not a 50-page report that needs to be sent, but actually you can gain insight. In addition to that is we talk only about operation and maintenance, but actually, if you have a customer that is building similar assets over and over again, think about all of the lessons learned from operational experience that can be reused while designing a new facility or building a new building. So all of that value is actually locked in currently in the operation maintenance role, not leaving those Excel spreadsheets. Or if they leave, they leave in a form of PDF reports, as it was mentioned earlier.

      So now the possibility for the actual stakeholders to gain insight, because now everything is just web based, jump in and extract the data that is relevant for you. So again, there is not even a cost to get started. So again, that's how we started with Tandem. We went, oh, it's free to start until a certain number of assets you're using. So again, that makes it super easy.

      And again, the entry barrier now I feel is so low that you don't need to jump, basically, so there is no excuse for not trying anymore left. And again, please take contact with any of us. We would be happy in Norconsult, again, since we combine sustainability together with digitalization, it's not something I think we should be competing. So even if your competitor needs some advice, reach out and we'll help you.

      If you're a facility owner, you want to, how to say, reinvent the way how you're doing operation and maintenance, please reach out. We would be happy to help you. Thank you for the attention.