Design Technology Leadership: Data Integration and Visualization Using Autodesk Platform Services

RAVI RAY WOOD: Welcome, welcome, everyone. This is the session for Design Technology Leadership. We are at AU 2024.

Thanks, everyone, for being here and being part of this session. We really acknowledge your presence, and we are grateful for you for that. Today, we have a lot of things to cover, and we are going to do the whole session about data integration and visualization using APS, which is Autodesk Platform Services.

But before I move forward, I have my very, very good friend, Enrique, with us. And he is not only the Dynamo ninja, he's the APS guru. I'm so honored to have him here with us for the session. And with that, hey, Enrique.

ENRIQUE GALICIA: Yes. Hello, everyone as well. I'm happy to be here within this presentation, Data Integration and Visualizations using Autodesk Platform Services.

So let me introduce our speaker, Ravi Ray Wood. Ravi is an expert BIM manager in architecture with projects across USA, Canada, Europe, Middle East, Singapore, and India. He's been a top-rated speaker at Autodesk University 2019, 2021, and 2023.

He's a member of Autodesk University Advisory Council. He's been a top-rated speaker at HKIBIM 2016-- Hong Kong BIM-- an award-winning speaker at RICS IFMA 2018 Sweden, and successfully lead over 150 projects in BIM globally up to $1 trillion. So he's also a great friend of mine, and I'm happy to work with him within this presentation.

RAVI RAY WOOD: Thank you. Thank you, Enrique. That's very kind of you.

And let me introduce you to Enrique Galicia. He is my good friend. And more than that, he is the Dynamo Ninja. He is the APS Guru.

If you have a question about APS, Enrique is that person. So with that, Enrique, he's not only a BIM specialist, architect, software developer, he has more than 17 years of experience. And he has worked globally, he has worked in USA, Canada, Europe, and Middle East.

I think, for me, we first presented in 2021, and it's been a great friendship since then. And I think that's what AU is all about. His expertise in Autodesk tools and programming drives innovation, particularly in AI integration. If you have any AI-related question, he's the person. He has a lot of online courses.

He does a lot of teaching. He has more than 30,000 students globally. And we are all learning.

That's why we come at AU. And if any one of you wants to lead the path of continual improvement and learn more about Dynamo or programming in our construction AEC space, Enrique is the person. All right, Enrique, over to you.

ENRIQUE GALICIA: Yeah. Greatly appreciated, Ravi. So let's go over the objectives we're going to see in this session. We're going to learn about the creation of a design technology vision for digital transformation. And within that, we're going to look upon how to do a reimagination of business goals using Autodesk Platform Services.

RAVI RAY WOOD: I like it, the vision part. But then more than the vision with our objectives, the second objective today is to learn about the processes. You guys are here. You want to know how it's to be done, and we're going to work together to learn those processes. How can you transform your business and create digital success using Autodesk Fusion, Autodesk Forma, and Autodesk Flow?

ENRIQUE GALICIA: Right. And third objective is to learn how to implement an early-stage planning for results oriented towards creating sustainable projects.

RAVI RAY WOOD: That's awesome. I know early start is always a key thing. I really like this slide. And call it self-love, self-care, but most of my presentations are based on R.A.V.I.

We did a session in 2019. It was R.A.V.I 1.0. It became a top-rated session at AU, so I just kept doing it. And this will be the R.A.V.I 3.0.

Basically, what it is, is we have divided the whole presentation into four chapters and four parts. And each acronym, we'll learn more about it as we go. There's a lot of fun things.

There's a lot of fun facts. There's a trivia at the end of each section, so don't go to sleep and keep being interested. So with that, R.A.V.I 3.0.

The four chapters, how we have broken this down and trying to connect the dots are R for Reimagine, A for AI and ML, which is the buzzword today in the industry. V is Value. We are all here to get some value out of the session. And at the end of the day, it's all about the Impact.

And the way we look at it together is that it's all about four Ps. It's not just two peas in a pod. It's four Ps-- the People, the Processes, the Profit and the Planet. And with that in mind, we're going to try our best to make the session very helpful for each one of you.

I just wanted to say that next year I'm going to write a book as well, which is coming out. It's also about R.A.V.I 3.0. Same thing-- R for reimagine, A for AI and ML, V for value and I for impact. So that's how we have broken it down.

ENRIQUE GALICIA: I think it's great separated on that way because now we can have the four chapters being separated and how to establish a well-designed strategy for becoming technology strategist. So first chapter happening to be Reimagine, and yeah, you can go for it. Awesome.

RAVI RAY WOOD: All right. So before we start anything, we tell the whole world is between two worlds, dream and reality. So first, to make anything possible, we need to have a dream. We need to have a vision. And with this approach, we are going to work towards-- you guys are all leaders in this space, and we want to just share our experiences, how we created our visions and then brought it to fruition of reality.

And in that aspect, we have two things. We believe that design technology has two things. One is the spatial characters, which is like the body of a building.

And then there's the information, which is AI and ML-driven. This is like the heart, mind, and soul of the building. With that in mind, we will try to work towards bringing the body, and the mind, and the heart, and the soul together.

With that, we also have the five core principles of the vision. And I'll just go through them quickly, and I'll let Enrique delve into them more. What we have tried to do with the five core principles is that these are user-focused, and then we have tried to connect those dots. They align to the business principles. We want to make AI as a main catalyst.

We have taken a human-centric adoption. We totally believe in it. And we are looking forward. We are looking for the future. We are planning for the future, not for the past. So I'll let Enrique delve more into this.

ENRIQUE GALICIA: Yeah, let's go for those five principles. The first one being called is the User Focus, the Connect the Dots. And that refers that there is no this technology vision happening upon if we are not taking care of the user experience. So creation of a user-centered digital workflows, it's emphasizing the importance of understanding the needs of behaviors of the end users.

RAVI RAY WOOD: Absolutely.

ENRIQUE GALICIA: Yeah. So, Ravi, could you put the next slide?

RAVI RAY WOOD: Yeah, yeah. Sorry.

ENRIQUE GALICIA: That's all right.

RAVI RAY WOOD: And before we go-- yeah, and these slides are so critical, so crucial. We are going to have trivia based on these slides. So keep your focus, and you'll get questions out of those. And it's going to be a lot of fun.

ENRIQUE GALICIA: Yeah, exactly, exactly. So as I was telling, user focus is connecting the dots is knowing how does the company work around and how everything being user-centered can make a huge difference. If the people is getting used to on a particular way of working, that's how technology is going to come handy. So within this approach of connecting the dots, it's been successfully implemented in organizations to lead better outcomes and to have an engaged workforce. So being that one of the first core principles, let's go to the next one.

The next principle is aligning the technology with the core business principles. We know that there are several technologies happening, several tools we can be applying to that one. But it requires to be aligned to the core business principles. Successful design technology begins with deep understanding of the core principles of knowing which is the type of business we are in, and how is the market share happening, and how does the technological efforts will get aligned with all these innovations?

RAVI RAY WOOD: I really like it. And I always believe breakthrough happens when great mind thinks together. They can be thinking different things. But I think that's why our presentations click a lot, and I think great minds thinking together with that.

ENRIQUE GALICIA: Yeah. Yeah, sure it does. So the next core principle is working as an AI as an integration catalyst. And AI is not just a tool. It's been a lot of buzzwords happening, like AI solving a lot of things.

But it won't make a difference if it's not aligned or it's not something that becomes as usual, right? Like having the LLMs, having prompting, having machine learning working towards the processes. So within the technology, I will say that the practices needs to go as a catalyst so that information is flowing. And how those align to the core business is crucial.

RAVI RAY WOOD: I agree with you, Enrique. It's like AI is a transformative force.

ENRIQUE GALICIA: Therefore, with that one, we have this image that actually we both like it upon when we were creating this slides because it relates on how is the brain being connected, but it's also depending that the decisions wouldn't be accurate if they don't have the right information, like continuously protecting the privacy, but as well, being something we can handle on so that we feel familiar, and we can do some other decisions.

RAVI RAY WOOD: I really love this slide. It shows how the data and everything is in different directions. It's all crude. It could be rustic. But the intelligence at the heart or the mind, that can really make the difference.

ENRIQUE GALICIA: Yeah. Connected to that one will be all the automation parts that are not separated from the AI. But it's also a crucial part when a process is becoming from being very crafted into something automated. So within this image, it resembles that all the processes that are on the workflow, if they get into a standardized version, they become doing automations. And therefore, automations can work on a process that can be using AI.

RAVI RAY WOOD: Awesome. Yeah. I mean, I totally agree with you. Repetitive tasks drain the creativity. Whereas AI and these algorithms-- which you master.

I mean, you're really good at these algorithms. They can help automate these processes, and that can really bring in the efficiency and drive productivity home. So yeah.

ENRIQUE GALICIA: Yeah. We're extended a little on this core principle of AI. But because it has so many components inside of it, there's a completely set of unlocking insights beyond reach within the use of AI because information goes gradually increasing. It's a lot of data that can be managed upon different models, data sets, bylaws, types of rules, and compliance. And within the use of AI on technology design approach, it's critical that that can get very dismantled.

RAVI RAY WOOD: Yeah. And before we go further, it's a dumb question I'll ask, Enrique. What's the difference between AI and ML?

ENRIQUE GALICIA: Yeah. Within the AI, you have a complete realm of things that are happening. It's like a common word for refer to something that you're teaching on a computer.

So machine learning, deep learning are concepts that are within the AI. So it's been said that within what we're referring to AI normally, it's like when you're talking about generative AI, most of the cases. But in this, we're just using the two words at the same time.

RAVI RAY WOOD: Awesome. Yeah, no, I never knew that difference. And I was like, I always hear them together. But yeah, this is great to know.

And also, we can create some smart workflows with AI and APIs. And you have done a lot of them, right?

ENRIQUE GALICIA: Yeah. I mean, within having smart workflows depends on how you have your information very standardized so that it can get queried so that when you're looking upon information on using an ACC cloud service, using some certain files and they are connecting to the APS, you can query using APIs, which will mean that you are looking for that information. And then it doesn't get floated within information if it can be processed by an LLMs, which is a Large Language Model.

RAVI RAY WOOD: I really like that concept of real time. I mean, these days, we want everything now and everything because we want to know what's happening in the world as well. Everything is happening at a speed of not so. Real-time adjustments is key.

Also, I wanted to go through this next aspect. As we adopt this new technology and every day things are changing, I think it's always good to keep the human part alive and the center, the core principle for us because that's our North Star. We are working for the people. We want to make sure this contributes to the success of the people.

Everything that comes up is a challenge. It's an issue. But we take it as an opportunity, and we overcome those barriers. And at this core principle, we also believe that we win together. There is no individual win.

ENRIQUE GALICIA: Yeah. Human-centric technology adoption is a key part of it. The technology by itself wouldn't make a difference unless we are taking advantage of it.

RAVI RAY WOOD: True. And why we are going through these aspects is because when we're creating this vision, I truly believe that it should reflect in our vision that we are these core principles that we have that respect for everyone, being inclusive, being humble. These are very close to our hearts. And that's why we really work so hard on it. And I'll let Enrique delve on the next ones.

ENRIQUE GALICIA: Yeah. Being innovative, like within the sparkle that goes within things like within the forums like AU, you're having a set where the candle can be lighting up. And within that one, a lot of things can happen in the future. Each time, it grows with new ideas, with new ways of connecting. It changes.

And it also goes within the next one, that it's a continual improvement because things do not always go on the same way. They will keep on working better. And yeah, within that one, there's no innovation without collaboration. The more we get it connected and knowing each other's needs, then the better we can get within new approaches.

RAVI RAY WOOD: I totally agree with you. My favorite word is "together." If you say "I" or "you," it's better to say "together." And that's great signs of great team.

ENRIQUE GALICIA: Yeah. Yeah, it is. So for the next part, we have some case studies. We

Put some case studies that can lead upon this design technology vision so that we're thinking that within those recommends and things, they can be very quick type of workarounds that it can be implemented to have a quick win and working around. So the first one we're talking about is the use of ChatGPT for construction, using it for fast takeoffs. And within the challenge comes that you have a lot of information that is floated, and it's happening within a CDE accommodate environment using perhaps ACC.

And within all those documents, if they get clustered or they get analyzed so that data can be queried upon on a vector database, then the process aims to find the specifics about takeoffs, specifics about requirements compliance within that solution being implemented. And the result can lead into savings and also better support upon the data we're having. RAVI RAY WOOD: That's awesome. These days, I started learning ChatGPT, and I do use it every day. And it's just so-- I can't understand if I'm learning from ChatGPT or ChatGPT is learning from me.

ENRIQUE GALICIA: Yeah. At this point, I will say that both are learning at the same pace because it becomes a type of relationship in which data is flowing. I will just take apart from that one that it needs to be clustered so that the privacy is not an issue.

RAVI RAY WOOD: Awesome. Yeah, those are great points. And that's a great case study as well. I mean, imagine having a ChatGPT in-built into your construction domain or engineering or architecture domain. That's great.

We have a lot of case studies, and I know people will have questions for them. We request that we keep the questions for the end, and we'll be more than happy to answer them. With that, we have the second case study coming up.

ENRIQUE GALICIA: Yeah. The second case is by using design technology for digital twins to optimize facility management. So the idea behind it is that the challenge is that you have a lot of things happening when the building is being finished. You have the databases of therefore having maintenance. And within the solution is that having things on a cloud platform can become a vectorized database so that we can know from there what are the odds or what will be the challenges that need to be solved around.

RAVI RAY WOOD: Awesome. Yep. This is my favorite case study.

ENRIQUE GALICIA: Yeah. Within that one, it's been within [INAUDIBLE] workarounds. It's early design studies by using a Stable Diffusion. So a Stable Diffusion called an type of generative AI.

It helps creating images from things that you're already just sketching. But in this case, the problem was, yeah, we want to have early design visualizations without compromising that whatever we're getting from the images is not complicated to be modeled. So within that one, the best solution was to connect multiple LLMs.

And by doing a multiple connection, it's not just about prompt getting into an image, but also image to image, image getting into somewhere else in between segmentations, getting components, adding a setting. So the final solution of this case study was an application. I mean, at this point, it's available on Autodesk App Store, but it's still within the improvement and reviews that it's getting.

It's also going to a lot of different spots and hopefully with that, will also be part help. So I will say that the recommend from this case study is that any type of use of language models that can aim to introduce a faster pace for resolution could be something for a quick win on a design technology strategy.

RAVI RAY WOOD: Wow. And it's available on Autodesk App Store, right?

ENRIQUE GALICIA: Yeah, it is. Yes.

RAVI RAY WOOD: Yeah. Mirar is like a miracle, so yeah.

ENRIQUE GALICIA: Yeah. You were asking about where does Mirar come. And it's within the aims of that to be pushing. So how can you have visibility of what's happening in the future? Yeah. No, go for it. Go for it. Yeah.

RAVI RAY WOOD: The case study 4 is about APS data integration. The challenge here was we discussed, building is the 3D spatial body. And APS can help connect the data inside intrinsic it built into the buildings and then with those LLMs. And we can reduce the risk and also save time.

ENRIQUE GALICIA: Yep. Yeah, exactly. So yeah, I mean, we will see it upfront within the presentation because we're talking about Forma, Flow, and also Fusion. And within all those three flavors, we have the APS working in the middle around it so that the things are getting connected, and we therefore that connecting to LLMs as a complete set of ideas that we think give you background of a design technology strategy.

So just going to point out on this case study, the case study number 5 is about Andiamo Assistant. It's a tool that is already available as well. It's useful on Revit, also have it on desktop applications. We're aiming that one to happen on mobile.

And the idea is that instead of having things separated so that you have your model or things and you're querying on a GPT, or just querying on a Gemini, or doing some Copilot things, you just have it inside of the same application so that, therefore, it can help you on whereabouts I'm getting stuck on the Revit use, where I'm having some reviews from PDF files, or from those getting different types of information for a compliance review. So the impact goes that you have it just at handy. And therefore, you can review what's needed.

RAVI RAY WOOD: That's amazing. So we'll have the solutions to Revit problems at the touch of our phone. I mean, these are great case studies. We saw about visualization. We saw about connecting data, Mirar, I think the Andiamo. These are just great. And facility management using digital twin-- I think this is great, great session. Trivia time.

ENRIQUE GALICIA: Yeah, so let me do that one. I mean, the first question from the trivia will be, which great pioneer and innovator said the term, "connect the dots?"

RAVI RAY WOOD: Well, so we'll give everyone some time and the answer. And the good thing is we are not giving answers in the recording. We'll give in the live session. And the good thing is the winners will get some prizes. They'll get some books.

ENRIQUE GALICIA: Awesome.

RAVI RAY WOOD: All right. With that, we move on to the next session, which is A, which is about AI and ML. We saw what the difference is. And we're going to elaborate more. And Enrique is going to lead us into that.

ENRIQUE GALICIA: So within a-- yeah. Talking about those two engine models happening in the middle, we're having this process-driven approach in which we have a first pilot that is going automations that is having a standardized having workflows. It means if a practice can be tell upon for the computer to run it about an algorithm, that's the first step of getting it to use from a-- yeah, from an LLMs or using machine learning so that it can have a specific tool.

The second part of that one is using the analysis. Analysis will lead that information that is flowing there can have exploration, training and digestion so that it can lead into more specific results at the end. And the last part of that one will be augmentation, that it's the connection and user experience as a key factor so that the people is actually using it. It's not just about having technology, but how technology is part of everyone's day life.

RAVI RAY WOOD: Yeah, I'll agree with you. And Autodesk Forma already excels at unifying BIM workflows. And I'll let you talk more about it.

ENRIQUE GALICIA: Yeah, sure. From the Autodesk Forma platform, it's been great since it's already been out. It's a very nice tool to have within the review of a general context. Within the three topics that we are placing on the slide is the scenario generations because you can have elements being crafted very quickly within an idea of the context, having some predictive analysis using energy, sunlight, wind. But also, within the great applications that you can use Dynamo, you can use also your own scripts.

And it's also working on a front-end environment using web services. So that makes it very easy to flow around and to be using it on a different type of computer. And lastly, from that one, it's also a real-time integration. If you have things happening from a database or some IoT devices, they can also be predicted upon the use of Forma. So these are three things that it can be implemented upon the use of Forma for projects that are going from a architectural perspective.

RAVI RAY WOOD: Yeah, I agree with you on the real time. That's crucial.

ENRIQUE GALICIA: Sure. Sure, it is. Then we have the second one that it's about Flow.

I mean, Flow, it's much more related to services that are happening within the media industry, but it still will be applicable for things that need to be shown. And particularly, when we're using the space for doing simulations for the environments or XR type of applications-- so asset management for creating images, videos, the sample we were seeing about the Stable Diffusion becoming three-dimensional elements, having videos or images. Content optimizations using machine learning to have high-quality elements so that we are not wasting upon things that are not being used and also within automated animations.

RAVI RAY WOOD: Yep. I agree with you. It's very important to optimize the content. Otherwise, it becomes too long.

ENRIQUE GALICIA: Yeah. Even though, even if it's a specific from an industry type of perspective, it blends very nice because it's also like some uses from the media industry happens to the AEC. And also, as we're seeing on this last sample, also things that are happening from the manufacturing goes within that reference, depending on the type of project.

We have here references from the Autodesk Fusion when it's using AI for generative design, using some interactions so that it gets geometry based upon constraints using predictive maintenance and quality inspections. But those are also principles that apply if you're using an architectural project that requires specific connections, specific pieces to connect between timber type of frames, or also structural engineering elements.

RAVI RAY WOOD: Yes. And I love these dashboards. I mean, these are like if there's a manufacturing happening, and the person at the quality inspection can just see those dashboards, can get the data, what's going wrong. And hopefully with the 3D element of data, I think they'll have a faster solution, I believe, than compared to a regular 2D work environment.

ENRIQUE GALICIA: Yeah, yeah. I agree with that one. Yeah, very, very nice from that perspective.

RAVI RAY WOOD: But what happens-- Enrique is often enough-- still, not everyone is great or is an expert at AI, and ML, and automation. How do those people or companies-- if they want to bring in this transformation, are there consultancy services available? And how to go about that?

ENRIQUE GALICIA: Yeah. I will say that that would be the best chance because there's a lot of things happening, and they change so fast. We're on a period where LLMs are emerging every time, and there's a lot of services happening, new technologies heading in that way. My best suggestions for that would be asking for support and as well having a strong foundations on the things that are being invested because in that way, things that are used, they won't get outdated very quickly. And they will also have within fresh perspectives and the workflows that are aiming at very specific formula that will lead to have a better business outcome.

RAVI RAY WOOD: Awesome. Yeah. I mean, it's always good to reach out to an expert for help. And who better expert at APS than you, Enrique?

ENRIQUE GALICIA: Thank you. I appreciate it. Yeah, sure, it can be helpful on that one. So we're putting it here.

Now we have seen the three flavors happening, working on Flow, Forma, and Fusion. But then the role of APS comes in handy because it's integrating any of those flavors with all the other software working around it. And it's still, within that one, it'd be connected from some API connection.

So from design to construction, using the changes between files, using APS integration, so that therefore if the data is being centralized, or it's being queried upon a large language model. It can also be retrieving back some information that will help for decision taking, having a real-time connectivity, and also within those-- yeah, having information on the proper time. It's a completely game changer.

RAVI RAY WOOD: Absolutely. Yeah. And this seems too complicated. I mean, this is-- how do you simplify--

ENRIQUE GALICIA: Yeah, we'll say that from that image that we're seeing at this point is a sample of something that you might actually be looking upon in APS because you can also query information without needing to open the files. That will be a sample of a data exchange type of visibility within using some SQL GraphQL from that.

But I mean, on the high level and on the level that we wanted to just explain it so that it works around is that information can flow very quickly if we know what we want to find for. If we know that the workflow is relying that information is already available from a model and therefore can be reviewed, that's the way it should be working.

RAVI RAY WOOD: Awesome. So if I have a query on these SQL databases, these queries, I can reach out to you, right?

ENRIQUE GALICIA: Yeah, as well-- yeah, as well as those can be crafted on a different database being working around and yeah, yeah. I mean, there's a lot of things happening in there. But we just wanted to give you heads up on things that can be easily implemented for our design strategy technology-- technological strategy.

RAVI RAY WOOD: Yep, yep. No, awesome. With that, so now I told you who to reach out to.

So the second question of our trivia-- one of the presenters in this session is also known in the industry as Dynamo Ninja or APS Guru. You need to tell us who it is. And as I said, there are prizes for the right answer.

So fill in the right answer. And at the end of the session, we'll have some books as prizes. All right. That brings us to the third chapter, which is the V, which is Value. Take it away.

ENRIQUE GALICIA: Yeah, yeah. From this chapter, it goes like, OK, we have discussed how we reimagine. We have discussed tools that we can have it on some samples from the case studies. Now, getting into the value, I will say that this is type of a strategy that I will find a great advice, like having any type of design technology strategy working from a low-hanging fruit effort.

This means that you are not trying to have a lot of things happening at the same time or just aiming for a big pot, but actually just looking upon which ones with a low effort can be implemented quickly so that the return on investment can be found. And I think the graphic goes very nice because it's like a type of machine working around finding just this lowest fruit that it's very close to the tree. And therefore, it can just easily be pushing the design technology strategy forward.

RAVI RAY WOOD: Yeah, it's good if there's a robot who can pluck the fruit from the tree because I'm lazy. So talking about-- we have some case studies on this aspect. The idea about these case studies is we are wanting to show how these can bring value, how this can bring more profits, and can create the business strategy around it. With that in mind, we will rush through them. But if anybody has any questions, feel free to reach us.

All right. Our first case study is about leveraging AI to keep projects within budget. And staying in a budget is a big, big challenge for everyone, Enrique.

ENRIQUE GALICIA: Yeah. Well, I will say that-- I mean, this sample goes that if the budget is being aligned and the information from models or from different structures is already on the same database, then from that one, it's easy to query and then also to have some type of semaphores when it goes within a forecast that might be leading into some challenges somewhere that it will become dangerous or, as well, it will be like forecast is presenting that suddenly the price will be higher than expected. So therefore, we can just take adjustments on early stages, right?

RAVI RAY WOOD: True, true. I agree with you. Staying with budget is always a good thing. All right, our next case study is about using APS for data connectivity and extraction. And this graphic is cool, right?

ENRIQUE GALICIA: Yeah. I mean, with that one, I was selecting that from the idea that, yeah, you already have things happening on every environment. You're using already the tools. You're using APS so that you can connect.

And therefore, within the APS you're leaving exposed that so that it can be working upon the LLMs. So within that being a good type of data available, it wouldn't be-- I mean, it would be a great use of that one to have analysis to integrate it to have it a centralized connector and get advantages for that for the next projects to happen. So yeah, it's like having this use happening from the APS getting all information together.

RAVI RAY WOOD: Awesome, awesome. Trivia time.

ENRIQUE GALICIA: Yeah. So for the trivia time, let me go for the third question. The third question is, "One of the speakers of the class has a series of top-rated sessions at Autodesk University after his name. Which speaker are we talking about?"

RAVI RAY WOOD: Yep. Thank you. Thank you. And now we'll go to our fourth chapter, which is I for Impact. And impact is about sustainability. Why is sustainability so critical?

The current trends show that the businesses are more and more focusing on using AI for sustainability as well as it has become a revenue driver. If you can save energy on a building for the next 10 years, that's profits. That's having low maintenance cost. Also, if we can reduce our waste, plant more trees, I think we are all talking about making a better world.

That being said, we wanted to give you the scenario-- yeah.

ENRIQUE GALICIA: No. Go for it. Go for it. Continue, yeah.

RAVI RAY WOOD: The early-stage planning and sustainability is critical. The reason being, if good decisions are taken early in the design phase rather than at the end of the commissioning, I think it helps. And you can make good, solid decisions.

Let's say there is a glass facade building. And just by changing the U value of the glass, if we can save the energy cost for five or 10 years or 15 years, I think that's a big saving right there. So good design starts early. With that in mind, we want to make sure that we talk about how to make buildings harmonious with climate as well.

ENRIQUE GALICIA: Yeah, I will add to that one. If it's going easier, I mean, and the reason within that becoming the impact is we're having a design technology strategies, then design technology is happening to be using AI as a main motor because that can also lead to change. And if we get that approach, that AI can enables types of studies for sustainability on the early stages, then it's an impact that will be higher. It doesn't necessarily needs to be on a return of investment.

But it will also be changing the way of working. And within that one, it can be applying that a lot of information happen for sustainability might be complex if we are just using it by our own hands. If we're doing it on a normal basis, reviewing documents, reviewing things, and therefore trying to implement it on the design stage probably wouldn't be something that happens very quickly unless it's compulsory happening.

But if we have the AI component within the digestion of information, we also have specific environments such as Forma, Flow, or Fusion that are already working upon the data we want to pull, then things like the ones we're showing, like the dynamic design adaptations, using climate change, climate-resilient architecture, checking upon the UB materials, also trying to reuse some of those characteristics, then that can also be an additional game changer for the workflows and also within having an impact on sustainability.

RAVI RAY WOOD: Yeah. I totally agree with you. Any building should be in harmony with the climate. That's so critical.

Also, we have seen that AI can be used to do carbon credit auditing. Carbon auditing is a lot about having the right footprint, monitoring the data, monitoring the carbon offset, the air quality, different emissions. It's so much data in wastage and usage being tracked and monitored. It's critical that we use AI for good decision making, also analysis, as we saw earlier. So we really wanted to bring the slide out and showcase that.

ENRIQUE GALICIA: Sure from that one. So leveraging Autodesk tools-- I mean, now the next couple of slides are just connecting the dots in between what we saw on the first part that is the reimagining part within the motor happening and then just trying to connect everything so that the conclusions we're heading up to at the end of this presentation we'll be working around.

And within that one said, let's go for the first one. We will be enhancing decisions by using AI with Autodesk Forma, knowing that Forma is connecting already within the APS. It's already being connected with AP requests. And it can also be using some Dynamo scripts. Very simple samples that can be used on that one can be scenario generation, predictive analysis, and real-time data.

RAVI RAY WOOD: Yeah. And we can reduce the carbon footprint as well, right, in Fusion?

ENRIQUE GALICIA: Yeah. Within Fusion, I mean, we're putting that one because on the manufacturing type of things, the reducing carbon footprint will be within the changes on materials, the review on how those can become very local or also within generative designs so that the geometry is very optimal for the analysis. Then, there's also-- yeah.

And then therefore going forward upon with Autodesk Flow, it will also be within the assets that we have on a digital world, like digital twins happening within a copy that it's telling us that the performance can be improved, computational optimizations that can lead upon different types of fluids happening on the space, also within an energy efficiency.

We do not need to test them on a real environment if we already having the good conditions for that to give us a prior overview on how the project might work. And as well, we're going in this level on a high level because we're already set up the ground, setting some elements, some additionals. And now we're just heading up within the top type of performance, right?

RAVI RAY WOOD: Yep, yep. And this session is about giving that overview, that big, big holistic view, big-picture view. And if somebody wants to go in more detail, they have your sessions to go to tomorrow.

ENRIQUE GALICIA: Yeah, exactly. Exactly. And I can be contacted, or you can also have some reference from the handouts.

RAVI RAY WOOD: Awesome. Yeah. And also, we can use to integrate with the local procurement and efficiency in Autodesk projects.

So I think that having that one-stop shop where we can have that collaboration with everyone-- I think that's a big win with APS, and that can really help balance the sustainability with the cost because not only we are not printing, saving paper, doing all those good things, but bringing everyone together on a collaborative environment and then using the latest techniques, like automation, to serve. I think this is a great, great step forward in the future. So all right.

ENRIQUE GALICIA: Yeah. So yeah, I can go for this one. So the last question from our trivia is something very related to Autodesk, is like, where was the first Autodesk University hosted?

RAVI RAY WOOD: Yeah, that's a really tough question, and we'll ask people. So what we ask is the trivia-- submit your answers. Leave it with us, and we'll touch base with you. We'll select the winners, and we'll reach out to them.

We wanted to thank everyone who came out. And what we also wanted to give you is the take-home session from this-- take-home message from us in this is that design technology is like a Swiss army knife. You can have different tools for different purposes, different results. We spoke about how to have a vision and how to use these processes for those getting those results. So it's like a Swiss army knife.

ENRIQUE GALICIA: Yeah. And also, design technology is the rock star that turns ambitions, ideas into reality. So we need to embrace it, leverage it, and let it drive our projects to a new height.

RAVI RAY WOOD: Awesome. Yeah. I mean, Swiss army knife with the rock star or the rock star with the Swiss army knife.

Either way, our goal is to make this world a better place. And that is our endeavor, and that's what we really are passionate about. And we truly believe Autodesk is also in this pursuit, and we want to build a better world together.

You can reach to both of us. These are our link to social media, LinkedIn, Twitter. Just scan us, and we'll be glad to meet you guys.

ENRIQUE GALICIA: Yeah, and as well to have some feedback as well, any questions, things around it. Yeah, great minds think alike. And as doing collaboration, things can go forward, right?

RAVI RAY WOOD: Yep. Great minds think together, think alike. Do vote for us. We request you because we do put in a lot of hours. A lot of effort has been put in to bring this AU together, this presentation together.

And we really appreciate with a very humble heart that you came and you you're listening to us. But we appreciate your feedback. And please do vote for us.

ENRIQUE GALICIA: Yep. Excellent. And yeah, I will say, thank you. Also, thank you to you, Ravi. And yeah, it's been a great presentation working around it. So hopefully, yeah, everything is--

RAVI RAY WOOD: Yeah. Same here, man. Enrique, this has been great. Mucho gracias. Thank you so much. And everyone, let us know. Merci. And anything else we can be help to you, please let us know. Thank you. Have a great AU 2024.

ENRIQUE GALICIA: Thank you very much.