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Advancing Sustainable Architecture: Lake|Flato's Journey with Autodesk Forma

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Descripción

Join Miguel Elizardo, Daniel Stine, and Autodesk Forma Representative Andrés D'Silva for an engaging case study and industry talk on sustainable architectural design. This session will spotlight Lake|Flato Architects' application of Autodesk Forma in competing for commissions and achieving WELL Pilot Credits and WELL Platinum Certification on its own office remodel. With a focus on outdoor thermal comfort and wind pattern analysis, participants will explore how data-driven insights from Autodesk Forma help inform Lake|Flato's approach to sustainable design, leading to successful project outcomes and enhanced client presentations

Aprendizajes clave

  • Discover the strategic use of Autodesk Forma in a WELL Platinum-certified project and its role in achieving sustainability goals.
  • Learn about using custom templates for client engagement and project validation, building trust and transparency on performance.
  • Discover how Autodesk Forma alternative proposals showcase the design's environmental comfort and acoustic benefits.

Oradores

  • Avatar para Daniel Stine
    Daniel Stine
    Daniel John Stine AIA, IES, CSI, CDT, Well AP, is a registered architect [WI] with over twenty years of experience in the field of architecture. He is the Director of Design Technology and leads the internal research program at top-ranked Lake Flato Architects in San Antonio, Texas, USA. Dan has been appointed to a three-year term on the national AIA Committe on the Environment (COTE) leadership group. Dan has presented internationally on BIM in the USA, Canada, Ireland, Denmark, Slovenia, Australia, Scotland, and Singapore at Autodesk University, RTC/BILT, Midwest University, AUGI CAD Camp, NVIDIA GPU Technology Conference, Lightfair, and AIA-MN Convention. By invitation, he spent a week at Autodesk’s largest R&D facility in Shanghai, China to beta test and brainstorm new Revit features in 2016. Dan teaches graduate architecture students at North Dakota State University (NDSU) Dan is a member of the American Institute of Architects (AIA), Construction Specifications Institute (CSI), Member and Chair of the National IES BIM Standards Committee, and Autodesk Developer Network (ADN), Autodesk Executive Council - AEC, and is a Construction Document Technician (issued by CSI). He has presented live webinars for ElumTools, ArchVision, Revizto and NVIDIA. Dan writes about design on his blog, BIM Chapters, and in his textbooks published by SDC Publications.
  • Andrés D'Silva
    Andrés joined Autodesk through the Spacemaker acquisition. A mechanical engineer by training. He has worked with adoption of Forma in a wide range of clients from real estate developers, large architect firms and small practices. Now he is focused on scaling and enabling Forma's customer success in North America
  • Avatar para Miguel Elizardo
    Miguel Elizardo
    Miguel is the Design Performance Technologist in Lake Flato's Design Performance team, where he promotes technology and sustainable best practices. With a strong passion for sustainability and high-performance building design, Miguel believes that implementing best practices in these areas can significantly benefit the environment. He actively tests new strategies for building performance and analysis, focusing on design performance simulations for daylight, energy, and views, as well as in-house training and sustainability adaptation. Miguel earned a Bachelor of Science in Architecture from the University of Texas at San Antonio. He has a diverse professional background, with nine years of experience in Retail, Commercial, K-12, and Higher Education projects.
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Transcript

DANIEL STINE: Hey, everyone, thanks for coming to our Autodesk University 2024 presentation, Advancing Sustainable Architecture, Lake|Flato's Journey with Autodesk Forma. I'm going to do a quick introduction of myself, and then each of us will introduce ourselves. And then we'll get right into it.

Since we do have an Autodesker on the presentation, there's this brief safe harbor statement you should read and understand before making any purchasing decisions. Here's our agenda for today. I'm going to do an introduction of the firm. We'll do introductions of ourselves. Miguel has a couple of case studies to share. Andres has some Autodesk Forma development roadmap information that's really cool and exciting to know about.

So we'll jump right into it. I'm Dan Stine. I'm the director of design technology, and I lead the research program at Lake|Flato. I also teach graduate architecture students at NDSU. I have another class on using Autodesk Forma in academia, shameless plug. I'm on the Autodesk national-- I'm on the AIA National Committee on the Environment Leadership Group, and I've also written 19 textbooks. One of them is the number one book on Autodesk Revit in the academic market in North America. Miguel?

MIGUEL ELIZARDO: Thanks, Dan. Yeah, I'm the design technologist here at Lake|Flato in San Antonio, Texas. I have about eight to nine years of experience. I lose track sometimes. [LAUGHS] That's how long I've been already in the industry. I've been doing projects in residential, K through 12, higher ed and doing a lot of commercial retail work previously. But now I'm a design technologist, which is pretty cool, to be part of the design performance here at Lake|Flato.

And I've been here for about two years now. And I look forward to showing everybody what we have to show today. Andres?

ANDRES D'SILVA: Thank you. So my name is Andres D'Silva. I'm a part of the Forma team and joined in Autodesk through the acquisition of Spacemaker, the previous startup that sprouted this product. I'm a mechanical engineer by trade and been doing what is called, yeah, "adoption" with the new software in North America. And had the pleasure to get to meet Dan through this last year and very much looking forward to explain how they've been instrumental in creating such a good software.

DANIEL STINE: All right. Before Miguel gets into the meat of the information, I want to share a quick overview of Lake|Flato Architects, in case you're not familiar with us. We're based in San Antonio, Texas. We also have an office in Austin.

The firm has won the AIA National Firm of the Year Award in 2004. That was at our 20th anniversary. This year, at our 40th anniversary, our two founding partners won the AIA Gold Medal award, which is the highest award an architect can win in the United States. In 2019, Architect Magazine ranked us the number one architecture firm in the US in their architect top 50 list.

We've won the most COTE Top Ten-- COTE stands for Committee on the Environment-- Award, which is, arguably, the highest sustainable and design award a firm can win. And then we've been a member of the AIA 2030 Commitment since its inception.

We have five studios-- residential, learning, which is K through 12, higher education, eco-conservation and urban development. Our work is national. So about half of our work is regional, and the other half is national. We have projects all across the US and on three islands, two in the Pacific and one in the Atlantic, and a couple of projects at Cornell University and UPenn.

Here are a few examples of the 16 COTE Top Ten Awards that we've won. I always like to point out the one in the lower left, which is a really unique project type, a grocery store. In the lower right area is the World Birding Center, which was designed for deconstruction and also to have what was called "low-embodied energy" at the time. This is something like 15, 16 years ago. And now we call it "low-embodied carbon."

Basically, to give you an overview of our design performance strategy, it's our overarching framework of what Miguel is going to show in a little bit, is we have this design performance action plan or sustainability action plan which is broken up into practice, people and planet. We have our design performance team, which includes myself and Miguel, led by our director of design performance, Heather Holdridge, and design performance manager Kate Sector and then design performance intern Desiree Allen.

And then, another people shot-- the people are the most important ingredient in all of this-- is the studio champions. Each studio has a group of people who are really motivated and interested in sustainability. And they actually are pivotal in helping us keep our project goals on track and, also, the people through which we disseminate information. It actually goes in both directions. When they learn new things, they share it with the design performance team. And the design performance team, likewise, covers new things, like using a tool like Autodesk Forma.

Just a quick overview of how a typical project goes through the pipeline is, early in the project, the design performance team will do a microclimate analysis. And that includes some of the Forma tools. We used to use some other tools and still do use some Grasshopper and just some basic things that we like to understand about the site before we start taking the program and trying to come up with a design solution.

I have another slide for the integrated design workshop, which is across the bottom. But throughout the project, early and while the project is still able to be modified, we're analyzing the project and using tools and workflows, with the design team, to come up with the optimal design for the project.

So one thing we try to do on every project is have, ideally, a daylong workshop. It's not necessarily just about sustainability. It's about the project, in general, but goal-setting as a group, with all the key stakeholders involved, the client, the people who'll be doing the maintenance on the building, the mechanical, structural, the civil ecologist.

Whoever is on the project team, we try to have them all at this meeting. So as a group, we can decide what the goals and strategies are for the project and then come up with a report that we continue to compare to the project as it's moving forward, to hold ourselves accountable for the decisions that we made to come up with the optimal project. And so, with that quick introduction out of the way, to get on to the exciting stuff, I'm going to hand it over to Miguel.

MIGUEL ELIZARDO: Thank you, Dan. Now we're going to move on to the case studies that we talked in our agenda. First case study we're going to go over is 311 Third Street, which is our office here in San Antonio, Texas. We are located downtown, about maybe a mile, if not a block away or two from The Alamo, which is really neat. So we are in an urban, dense environment.

But a little bit of our office is we decided to renovate the office because, during the pandemic, we felt like we grew so much. We were an 80-person firm. We expanded to about 150 now. And then we were looking for spaces to actually move into. But then, at the same time, we were like, let's practice what we would preach and renovate our office and instill some of the things that we talk to our clients about.

So we decided to pursue some certifications, and one of them was the WELL certification, which we just recently got WELL Platinum certified for our office, which is a really great deal. As we all know, the WELL certification, in itself, is a rigorous process which we have to do a lot of performance testings ourselves and then, at the same time, get a third-party certifier to come onboard board and actually test and prove all of these items that we've mentioned and spoke about.

But that was one of the main things that we decided to do for our office. We decided to do our hoteling system, expanded the desk. We had a lot of large desks in our office which we didn't want to-- it wasn't working for us anymore. So with that renovation, we actually had a car garage right next door to us, what you see on the right-hand side. But that car garage--

Let's see am I able to go forward. So there you go. That car garage in the top Left hand corner housed a lot of the cars that we would come in. But at the same time, we decided that we needed to redo something with that space, just because we like to talk about connecting with nature, at the same time, having a space that we could spill out to. And what we ended up doing with that car garage was demolishing it and reusing a lot of the material, actually, within that space.

A lot of the wood members that you see on the images were actually repurposed and reused for the wood slats that you see throughout our office, which is a really cool thing and unique thing to see. We repurposed them and used it and installed it.

But at the same time, this courtyard experience really allowed us to host events and be something that we could go outside and have, in a sense, a third place to really relax and work at the same time. We host our produce markets. We posted artist events and stuff like that in that courtyard and even had our office Christmas party there, which is amazing. Because we have these spaces that are transitional, that transition into work to outdoor landscape areas, which we talk about a lot.

And then, as you see in these diagrams, I really just want to give you an overall overview of how our layout is. So we do have two buildings adjacent to us, next door to us. And then we have a little bit of a parking lot on the bottom. But, really, the main entries, it used to be, previously, that our entry points used to be right at the building. But now, because our car garage single-story went away, we have this beautiful courtyard that we created. That now is the main entry point for every guest and also us, where we come in through.

We get to experience the courtyard, in itself, for its natural beauty and landscapes, which we have a lot of Mexican Sycamore trees and a lot of bench seating. But at the same time, this is an area that we just come into first, before we actually go into the office, which is really cool.

And as I mentioned, WELL certification was something that we really wanted to pursue. We are also pursuing a net-zero zero carbon certification, both embodied and operational carbon. But with the WELL certification, as I mentioned, we scored a really high score. We surpassed our benchmarking. But at the same time, it is a rigorous process, as I mentioned.

But what we're going to be focusing on for this presentation is some of the pilot credits that we decided to pursue and some of the tools that we ended up using concurrently with Forma, which is really cool. Because Forma really uplifted all of the other items that we had and compared the two, which is really cool, too. And at the same time, it streamlined the process, which is awesome.

But we're going to talk about thermal comfort, which is the two pilot credits that we pursued, that we wanted to tackle. And the thermal comfort really relates to our courtyard, to see how it's performing. Since we've been exploring a lot of the spaces outdoors, we wanted to understand how these spaces really performed outdoors. And, especially in San Antonio, Texas, we have really hot weather. Especially in July, August, September, it's really hot, usually. We get to about 110 degrees sometimes. If you add humidity to that, it gets even worse.

Diving into our WELL pilot credits that we decided to pursue, on of them-- there's two subcategories for these, when we're pursuing thermal comfort for outdoor thermal, is T09.1, which is managing outdoor heat, which is one point. The two options that we were allowed to do, one is outdoor shading, and the other one is temperature modeling.

With these two options, we decided to go with option two, just because we wanted to see what the thermal perception was for each month and, at the same time, get the highest index within those months and then show the countermeasurements we were doing for those two months. So for example, you'll see a lot of the things that we ended up doing is adding a outdoor pavilion, adding a lot of open seating, ceiling fans and adding some trees that provide a lot of natural shading and, at the same time, provide cross-ventilation.

We do have walls that surround our courtyard, which block some of the northern winds, but at the same time, allowed us to cross-ventilate the space, which is really awesome. And you'll see that soon.

And then the other part of this was avoiding excessive wind. How do we model that? As we all know, modeling computational fluid design is not something that's really easy. Something I tasked myself and also, at the same time, took on, in a sense of-- more like a thing that I wanted to challenge myself. That's the word I was looking for. It was a challenging thing for me. But at the same time, I love a challenge.

And what I wanted to do was use these tools and then, at the same time, see how we could improve our space and, at the same time, if it's even working the way we intended, which is awesome. But Forma really stepped up the game with the introduction of computational fluid design. It really allowed us to really see how wind patterns were flowing through the space, as opposed to the other softwares that we ended up using, which we'll dive into next.

So some of the tools that we ended up using early on and that was available was Grasshopper with Ladybug. And then, at the time, as Andres mentioned, Spacemaker was out and then got formed into Autodesk Forma, which was still in development, in beta credit. We ended up using these two tools hand in hand, both, together, just to see how they would compare. And the results were almost identical. I was pleased to see that.

Because the whole process, as we all know-- and if you guys have used Grasshopper and Ladybug, the process can be tedious. And you have to develop a script. You have to do a lot of research and then implement the script. And it could be daunting for a lot of designers and technologists out there who are developing these things, that are maybe not aware or familiar with these tools, which is where Autodesk Forma really bridges that gap.

It provides a simple user interface. It allows us to expedite the process. And all of us, across the firm, here at Lake|Flato, we've ended up using Autodesk Forma for that. And it's really cool to see that our designers are using these tools, now, so easily, versus going to a single-point person and relying, for some of these analysis, as previously it was. And, I mean, a lot of firms are also doing that, right? We have a single-point person that we go to, to be doing these analysis. But Autodesk Forma has really bridged that gap, which is awesome to see.

So as I mentioned, this will show-- as you look in the bottom right-hand corner of the screen, when we're talking about tools that we're using, this is one of the tools we ended up using, initially, for the T09.1 option two, outdoor comfort. I had to develop a script. And the way that this script is broken up is into three parts. And what we do is we ended up getting a weather file. And the weather file is a historical data component that we get from EnergyPlus or Ladybug weather files. And we get it for each project location.

And as Dan mentioned earlier, we do this a lot, for a lot of the projects. And you'll see that we actually developed another in-house script that allows us to get a lot of the information early on. So that way, our designers understand some of the passive strategies and even rain, annual rainfall information for that project site. But for this component that I had to develop in-house, is a portion that we needed for our technical documentation that we needed to submit.

So the first part of this script really talks about these climate graphs that we needed to develop and show to them what the highest index of temperature would be here in San Antonio, Texas. So we see that, in these arrows that are pointing, April through September are showing high index of more than 80, 90 degrees Fahrenheit. And according to the technical documentation that we had submitted, there is an extreme temperature. We needed to show countermeasures and also, at the same time, show those temperatures that were being generated.

So in the next portion of this script-- I think maybe I should highlight that they also wanted to see what the thermal stress, what the thermal condition and thermal comfort was for this courtyard. So we needed to model that, which is what leads us to the next portion of our presentation, where we actually ended up modeling our courtyard and which is the meat of the script that does temperature modeling for the actual site.

So the diagram on the right, that you see, shows us a very strong index of stress for thermal comfort outside. And it's a comparison that shows the site courtyard with nothing on there and then the courtyard, in itself, with the trees and the pavilion. And as you can see, the temperature within July is very hot. It goes up to 100.

And then, with the countermeasures that we incorporated, vegetation and the wood canopy, it dropped it down to about 90 degrees, which would be almost a 10-degree difference, which is awesome to see, just because that's what we intended. We wanted to be outdoors, to be able to enjoy the space and the hot summer, incorporate some water features and stuff like that, air circulation, ceiling fans that would really cool the area and allow us to be outdoors, even in July. [LAUGHS]

And then the last portion of the script is something that I started developing, that goes into Butterfly. But the next, I guess, portion of this presentation really highlights both of them. Eddy3D and Butterfly shared very similar results. And for redundancy, to reduce redundancy. I didn't show examples of Butterfly and Eddy together, just because they both shared similar results.

So the next items that I'm going to show you on the computational fluid design is really from one software. Because it comes-- it shows similar results from both. And then we're going to go on to showing how everything within Forma really steps up the game from that, moving forward.

But this took a while for me to develop, which was really cool to see when we were looking for the certification and looking for the technical documentation. And this really did provide a lot of the foundation, but, ultimately, we ended up also submitting some of the technical documentation with the Forma tools that we used.

So temperature modeling, as I mentioned, with the courtyard, we ended up using Forma. Actually, this slide was not supposed to come up first. For some reason, it did. But we see, in Forma, that temperature modeling shows us, in our courtyard, at 103 degrees, versus 104 degrees on the left-hand side, with no courtyard on there, with no pavilion, no strategies, interventions or anything like that, in the month of July.

And then, with the courtyard on the right-hand side, it shows us that, on the bottom of the actual pavilion, it's 93 degrees. And in the parking lot, its shows us at 103 degrees Fahrenheit. So that's a 10 Fahrenheit difference, which is substantial for the month of July, being in our courtyard. And then if we move into September, we see that Forma shows us, without a courtyard, at 97. And then, but, with our pavilion and trees, it shows us at 87 degrees, the difference, which is really cool to see.

And one way to do this, within Forma, is do the microclimate analysis, select the month and then, at the same time, do an inspect tool within Forma. And then you're able to select the surface. And it'll give you the temperature reading for that, what is perceived for that month.

And then, lastly, the month of October, which is now we see that temperatures are being expected to be around 90 degrees outside, with no interventions. And then it shows it to be 79 degrees cool in our courtyard, which is ideal, something we love seeing and being around. That's almost the ideal temperature to be at.

DANIEL STINE: And we have a high of 94 today, so it's right on--

MIGUEL ELIZARDO: [LAUGHS] Exactly. Dan, actually, I don't know why some of these slides did not show up, or the other ones that I initially was supposed to talk about.

DANIEL STINE: Well, just keep moving forward.

MIGUEL ELIZARDO: OK. OK.

DANIEL STINE: This will be the exclusive content for the live presentation.

MIGUEL ELIZARDO: [LAUGHS] Got it. OK. Now we're going to move on to the T09.2, which is avoiding excessive wind in our courtyard. And again, we're talking about the tools we ended up using and how-- early on, I mentioned that these tools really shaped and helped inform our design. But at the same time, some of these tools can take a long time to process.

And one thing I should note, that Autodesk Forma is a standalone tool. It's a cloud-based tool that allows us to see the information on the cloud. And you're able to do multiple analysis at the same time. And it'll let you know when it's done, which is something that's really awesome to do.

With the tools that I mention here, that you see, Butterfly and Eddy, it took a long time to do-- sometimes it would take about an hour or two to just do a single point of analysis, which is something that can be very frustrating for a lot of folks, if you've ever been in that position. I know that sometimes I've run a couple of simulations and I'm like, this is not the results that I was looking to see.

But it's also great to see that we're able to manipulate some of that data and be able to-- we have control of that, which, I know Autodesk Forma is moving towards that, which is really cool to see. But as I mentioned, highly intensive, not as friendly, user friendly. It could be daunting for a lot of people. But that's where Autodesk Forma bridges that gap.

Now, as Dan mentioned, we like to analyze and see and do climate weather information. So the left-hand side, it's a portion of our Grasshopper script that we have in-house, that's been developed. And we like to provide this to all of our designers to provide information, as far as the wind roses throughout the season, and see where the strong winds are coming from.

And we also like to provide these diagrams that you see, on the site. That allows us to display and show a client where some of our winter winds are coming from. That way, we can start to strategize and think about countermeasures to block some of those northern winds, but at the same time, open up to our summer winds.

And as you can see, there's a lot of density, right? There's a lot of high-rise buildings surrounding our site, which creates a challenge within our site, right? We want to try to open up to the summer winds. But maybe some of those winds are being Venturi effect throughout the site, but maybe not coming through our site. But we'll see some of those diagrams and how they look like.

And, first off, we're going to look at the tools we use, which is Grasshopper, Ladybug and Butterfly and Eddy. And like I mentioned, everything with Eddy and Butterfly are almost identical, which is why I'm showing just one diagram. So moving into the actual analysis itself, if you see the legend at the top left-hand corner, we see that the rectangle highlights that we want to be between 0 and 12 miles per hour, per the technical documentation.

We do not want to exceed wind speeds in our courtyard. If we do, what are some of the things that we're doing to mitigate that? And based off the initial analysis, we needed to show what the average wind speeds would be and then show some of them-- on the right side, you see that the document shows excessive winds. So we ended up modeling excessive winds.

Even though the high winds for San Antonio, Texas are being displayed at eight miles per hour, the average wind speeds within are being-- are shown at six miles per hour during the summer. And we see that the model on the right-hand side, at 19 miles per hour, that's just us tweaking the script to show that we have excessive winds and what does that look like in our courtyard.

So right now, in our courtyard, it's looking like seven miles per hour, which is not that bad, right? Based off NOAA, we see that would land between a gentle breeze. Anything above that would be considered a moderate breeze, something-- you don't want to be out there, sitting down, just because it's too windy to be able to do anything. And then we see, on the average wind speeds, that it is just one mile per hour in our courtyard, within our site building.

And then the other one that we needed to show was southern winds. So as I mentioned, we like to see where our wind patterns are coming mostly from. So we have southeast south winds, and then we ended up modeling northern winds. So again, our courtyard is sitting at one mile per hour. Everything else outside of that, average wind speeds are about six miles per hour, as you can see how the streets are being modeled. And then on the excessive winds scenario on the right-hand side, we see that our courtyard is sitting at five miles per hour, with southern winds coming through the site.

And one thing to notice, I think you guys should take a look at and pay attention to how the excessive winds are showing up. Because a lot of these diagrams that I'm displaying, some of it are going to look similar to Autodesk Forma, which is really cool to see. Because they're both speaking almost-- they're speaking the same language, as far as analysis goes.

Now, showing an example of northern winds coming through our site, we see that northern winds are really a big challenge for our site. Even though we have buildings surrounding us, those are the most challenging ones, for sure. But we do have, like I mentioned, a semi-open courtyard with walls blocking. But we do have some excessive winds still coming through our site at 12 miles per hour, which is not that bad, but still falls within that gradient where we want to be, right, in our courtyard.

Now we're going to move on to Autodesk Forma's analysis, which is the exciting part. I really like to see this, just because the streamlines, at the same time, you have this option to be able to take the streamlines off and just be able to see the analysis on the bottom, which will be like a gradient. And you can inspect what the wind speeds look like in there. I really enjoyed seeing this.

And you're able to do multiple analysis, pretty much, in any direction. Once you click the analysis, singlehandedly, you're able to see the multi-direction of the winds coming in, which is something that's really awesome to see. And it doesn't take that long to be able to run an analysis. And you're able to even adjust the diameter of the analysis, which, in a sense, allowed us to incorporate more buildings to be able to see how our site is actually really performing.

With the other tool, we were limited to a site location, right? How many buildings can we incorporate before we start to-- the computations started to take forever. With Autodesk Forma, it has no limitations to this. It also even gives you a rough estimate of how long it's going to take to be able to compute this, which is really cool to see.

But we see that our average wind speeds in our site are right there, within the southeast, sitting below two miles per hour. And then, in our courtyard, for excessive winds, as I mentioned, paying attention to the colors of the arrows, we see these streamlines for excessive winds almost being site-and-site identical.

And then we're going to show the technical documentation portion of this because I'm not going to go one by one, to explain everything. But, really, this is the technical documentation that we ended up submitting, that showed northern winds coming in, northern east winds and then southern east winds at the average speed and then showing the excessive winds, which is really cool to see. Because our northern winds really did show that the excessive winds were coming around. But we do see that, on our site, there's a little bit of excessive winds, which is not that bad.

But even though the streamlines do go over our site, those are going over our site. They're not actually going through our site. If you look at the actual diagram with the color grading on the bottom, you see that some of the areas are below that threshold that we need to view, which is good to see.

And then the other portion of this really cool thing that we can do with Autodesk Forma is wind comfort. So this diagram really shows you how a person would be perceived, at the ground level, with wind speeds coming through the site. So without the courtyard in the space, we see that it is only standing. With the courtyard, it changes to sitting, which is really good, to see that it's designed and intended as we pictured it.

And this is what really created and sparked the idea of our courtyard. And this is just an example of an image that shows us how our courtyard is really laid out. We have ceiling fans. But again, I think one thing I failed to mention, which was the analysis doesn't take into account the ceiling fans that are in the space, the increased humidity that you can start to add within the water features, which data suggests, with research, that that could help increase the comfort within the space by 10 degrees.

So if you saw previously that we had seen that it was 80 degrees, that could go down to at least 70, with the introduction of more humidity, water features. And, of course, since we have our ceiling fans, that also adds a substantial amount. That decreases the temperature on the bottom of that space.

Now we're going to move on to our case study number two, which is 400-500 South Congress. This project is a unique project, in itself, just because we were approached by a client with a design. We then were told, hey, by the way, what do you think? Can you help us?

Actually, this was part of our urban design-- development studio project. And, ultimately, they ended up running most of the analysis. I ended up helping run some of the other analysis, but they ended up also putting a lot of the information on the documents and then submitting it. And then this case study that I'm about to show is really a cool case study, just because we ended up winning the project because of Autodesk Forma and all the tools that we ended up using.

So as I mentioned, with every project, we do a site analysis. We talk about where the winds are coming from, talking about site location and talking about strategies, where we need to start to block some of the winter winds and where we want to open up to our summer winds.

But at the same time, the other portion is understanding what the annual rainfall for water catchment, reuse-- and then also understanding what the humidity, air temperature, heating/cooling degree days is and, at the same time, understanding the psychrometric chart. Because we want to make sure that we're introducing the right passive strategies for our site.

So this is a proprietary Grasshopper script that we developed in-house, that grabs all the weather file data. And then we show this to-- we give this, early on, to our designers. So that way, they have all this information. And we're able to show this to the client, at the same time, to understand what we're trying to convey to them.

So this was the design option one that was given to us. And when we initially saw-- we saw a lot of opportunity. We noticed the placement of the buildings. You'll see that, in our design, the placement of some of the buildings are different. And some of the buildings almost stayed the same, but not really, because we introduced a lot of these areas where it's terraces and things like that.

But with this design, we saw that, one, we already knew what was going on, right? We've done so much work already, previously, that when we see something, we're like, yes, this is what's going to happen. We need to do this. We need to make these moves.

So what the urban team decided to do is propose a design. And the opportunities within this project was that it was enclosed. As you can see in the bottom building, that the one that says "130 FT," that building itself is already blocking a lot of those southern winds coming into the site. But that staggered 290-foot high-rise is actually opening up a lot of, through the summer-- through the winter winds.

As you can see on the diagram on the right, the northern winds are just flowing through the site. The Venturi effect is going just through there. So that was one of the biggest opportunities for this project, that it really had, that we were like, we need to come up with another solution. I think this would be very helpful for this project.

So the prevailing winds showing on this diagram really shows you what the southern one looks like and then the northern one, as I just displayed, but in 3D form, which is something that you can do in Forma, which is really awesome. You're able to spin around the model. You're able to even adjust the wind heights from the ground level all the way to the top. And you'll see the changes in patterns as the wind really-- the streamlines of the winds really flows through the buildings, which is something that really gets me excited to be able to see. I'm a huge fan of this type of analysis, to be able to see.

But as I mentioned, southern winds are being blocked. They're not really coming in through the site. So you can think that everything in that center spine of the design is going to get really hot during the summer. Not a good space to-- yeah, a lot of shading. So that was just what we initially saw and then-- along with all the other tools that we ended up using to analyze within Autodesk Forma.

So then we introduced a couple of design options, but, ultimately, we ended up landing with this design option. So as you can see, we incorporated a lot of green scapes in the project. But at the same time, one thing I failed to mention previously is that they didn't connect to the creek that was there previously. And that was an opportunity that we saw. We're like, no, we need to find a way for this community to be able to connect to the creek that's coming through there.

And so what we ended up doing is, one, of course, opening up to the southern winds in the summer, to be able to cross-ventilate through this space, and then repositioning some of these buildings and then adding some of these features-- terraces, open courtyards-- that allowed everybody to be able to see and be able to enjoy the outdoors.

So as you can see in the design itself, we have some-- in these sketches, too, is a lot of green vegetation, with open terraces and stuff like that. And it really created this community within the space that everybody could come and just enjoy and visit, work, live, in a sense.

So we're going to get into the analysis portion. So what we ended up doing is doing multiple analysis on this design, just to see how it would perform. And one of the things that you can do with Autodesk Forma is the sun hours. The sun hours analysis is a really good analysis, just because it gives you how much of a surface is actually being received by the sun. That, in turn, tells you whether you should apply photovoltaic panels in that location or not.

Or you could also get an idea of how dark your areas are going to be in the spaces below, which is something you want to try and avoid, right? You want to try to get a lot of that natural sunlight into those spaces, but not too many, right? Because, especially for this project, being in Texas, it's very hot. So trying to limit some of that, but at the same time, be conscious about it. We can do this analysis for multiple months. But we decided to show this for the four seasons, within the months June, March, September and October-- and December. Sorry.

And then we go into the other portion of this one, which is another really cool tool that we've used with Forma a lot, which is a noise analysis. This tool allows us to be able to see how our site is performing with the noise traffic surrounding the site. So all the streets have noise data within Forma. And we're able to run the analysis and be able to see how it's affecting and what countermeasures can we start to introduce.

So we had an idea of the spine of the design, that we wanted to make sure that we sat at a safe noise, low decibel. Because we wanted to have a space where everybody can come in and enjoy and sit down and have a lot of shopping experience, in a sense, there. So when we modeled this and we saw the results, we were pleased to see that a lot of the spaces in between really showed soft noises, as opposed to everything around these two busy streets at an intersection being blocked off, buffered from other buildings and stuff like that.

One other thing that I'm going to mention, that I think was really cool, that our team discovered-- and like I mentioned, some of this information is already in Autodesk Forma. But another resource that was really helpful for us to use and explore was the external data that you can get from the Department of Transportation. And the Department of Transportation actually also gets the information from ArcGIS. So if you can't find it on the Department of Transportation for each state, you can also get it from ArcGIS. Because they both go hand in hand and show, sometimes, similar results.

But the Department of Transportation may have their own information, proprietary software that they're using. They may not be using ArcGIS for that information. But what you can get from there is the average daily traffic, which is really cool because you need to know, I mean, throughout-- it has historical data. So you want to get the latest data. And sometimes you may not have that. And this is where you can go to actually assess and get this data.

So this little diagram on the right-hand side, you can see that it shows a traffic count map throughout San Antonio. And as soon as you zoom in to a street level, you'll be able to see how much vehicles are passing through that street daily, which is really cool to see. And then the other portion of this is OpenStreetMaps. OpenstreetMaps has map data that can show you some of this information, too.

I've been a personal victim of going into Google Earth and scrolling through the streets, trying to find that sign. I don't know if you guys have done that with the miles per hour, but I've been a personal victim of that. And that can be tedious. Because you're like, I've been down this street, up and down twice, and I have not found that miles-per-hour sign. I don't know where it's at. [LAUGHS]

But with OpenStreetMaps, there is a layer that you can go into there. All you have to do is click it, and it'll show you the map data. And you're able to select the streets. And it'll tell you what the miles per hour is, which is something very easy, time saver, for sure. I really enjoyed finding this out, when we found out. And I was just like, this is a lifesaver.

But at the same time, take this with a grain of salt, just because, for rural areas, you might not be able to find this information. But for central cities, you'll probably find a lot of this information, for sure. So just a tip for you guys, for external data.

Now, moving on to the microclimate analysis, which is another really cool thing to show. For our site, we wanted to show how it's being affected throughout the years and the seasons. So we ended up displaying this, just to understand how the winds are coming through the site and then being affected, at the same time. So you can see how the temperature is being perceived throughout the seasons, which is another really cool, powerful tool within Autodesk Forma.

And then, as I mentioned earlier, talking about wind comfort, we modeled this and wanted to understand how these trees are buffering a lot of that southern wind speed and creating these sitting-- standing comfortable areas in our spaces. But at the same time, we did see that some of the areas are still showing as uncomfortable. But we ended up making some interventions for that, which we're not showing here. But we ended up making some interventions for that, to mitigate some of that uncomfortable wind speeds within that area.

DANIEL STINE: Yeah, Miguel, probably worth mentioning, in Forma, for the vegetation to work properly, you have to use Forma's trees. A regular tree is just going to block all the wind, instead of letting a small fraction of the wind through, like a tree normally would, right?

MIGUEL ELIZARDO: Correct. That is correct, yes. Good point, Dan. I actually ended up testing that previously, on a couple of projects where we actually ended up modeling some just lollipop trees, in a sense, that are solids. But it's always best to use the Forma trees because they have, already, the data that ends up slowing a lot of the wind speeds down and letting some of the air still filter through.

And then, finally, getting to the last portion of this wind analysis CFD for Forma, which is what really won the project. We ended up showing this to the clients and showing what our ideas were. Because we already had an idea of what we were-- but it's displaying this and showing that to the client that really elevates this. So with this wind analysis, we were able to show our ideas about how wind was going to pass through the site. It further just validated that, which is really cool to see.

And then, lastly, we're going to talk about some, really quickly-- I know we're running short on time, talking about in-house templates. This is something that we've developed in-house and started doing for all of our studios. And this template lives in our server. And what we do is we set up a lot of the views within Forma already. So if you go to that little icon with the camera, you set up your views, whichever perspective you want to set up.

And then snapshot them up, and then get all the vector images, which you can now do in Forma, is get the charts and then be able to import them into this template. And then export the views to and then just drag and drop, which has-- I call them "time-saving templates." [LAUGHS]

But the sun hours template that we have-- I mean, I'm not going to go through all the templates. But it's just something that we've developed in-house, that has saved us a lot of time, without having to-- it's standardized the process, in a sense. So we have this for our wind template and sun. We have one for daylight. We have one for microclimate. We have one for noise.

So it's just about setting up the views in the project after, you've imported your project within Forma, and then exporting those views. And now I'm going to hand it off to Andres.

ANDRES D'SILVA: Thanks so much, Miguel, for walking through all of these case studies and the ins and outs of the softwares, as a opening to-- I mean, it gives a lot of context to talking to what the product feedback loop has been with Lake|Flato. So, very simplified. I guess, we could start with product development cycle that we, in Forma, have been following the last few years, as well as our customer group, customer base has grown quite a lot through the inclusion of the AC collection.

And I guess you could say there are two entry points, as to how new features make its way into the platform. And firstly, that's through our customers voicing their needs, either through the chat and the support or forums or other interactions, digital or live. And secondly, we have more the longer-term projects where our team also makes a hypothesis for what should be a great capability to include. And we try to test this out with our customers.

And for this presentation, I will try to focus a bit on the latter. There are, during Autodesk University, several meetups with our software developers and product managers, which are all-- encourage everyone to participate in because that's a great interaction as well, in this getting to know what is needed.

The first point is really trying to enable customers to solve certain pain points. And this, I like to call it a "spaghetti diagram." The Ladybug diagram that was shown, it really does make or break certain days in our architects' week. It is a very meticulous work that is important. And our goal is never to try to replace everything of that detail and that control.

But we're trying to bring an early image of what the results can be for the site. And in that end, Forma does a good job in cutting out some of that work. And getting the end user pain points to be really felt by our team is the key. The next steps are really all about trying to connect and make the qualitative feedback on potential solutions very tangible. So for both sides, we try to understand what is needed.

And to Miguel's templates, we also were kind enough to be shared these quite early on, when sketching out what Forma's board functionality should look like. And we were able to illustrate what are our leading users trying to solve through this platform. So this is a very cool way of back and forth, going between customers and technical teams, where I play a bit of a matchmaking role, in that sense.

For the third, more important premise for doing this work is that the cloud development platform is really enabling us to push features daily or to at least enable certain features for certain customers to test and to verify if it's solving a need or if it's more of a "nice to have," which you definitely want to avoid.

And what has been mentioned several times during today's presentation of the different solutions that exist in the architecture's toolbox, we try to ensure that it's approachable, that Forma should be an easy to use. And we always try to strive towards that goal and try to avoid the super easy trap of having a very hard-to-learn solution that is too complex.

So on the right-hand side, just a small screen grab from our internal chat on the first version of our Forma board, which was used here. The same exists, for instance, with the embodied carbon, which, also, Lake|Flato has been a part of, as well as several features, like the vector export, I believe.

This timeline continues from September last year until January and April and, as well, August. This is trying to ensure that we capture as many ideas from as many architects and users as possible. And this is just a few examples of how we have engaged with the community, through our forum, on recruiting first beta testers, which is something that I would encourage everyone to do as well, for those listening or watching this, is to check out the Forma's forum, where you're able to test and get early access. You're also able to shift and shape the future developments.

And I think the last two are more about setting up one-to-one meetings where you can really dig and ask and challenge us. And as with conferences like this one, there's great enablement of connecting coders with customers. And during this week and also during any day of this year, we will have several occasions to engage with us, either through the digital channels or in physical arenas.

And I definitely hope that this can be a good inspiration to see how you can do more with the tools that you have access through by chiming in and voicing your needs through these channels. I'll pass it over to Dan for some amazing work you've been doing on the academia part.

DANIEL STINE: Yeah, I just wanted to close out, with the couple of minutes that we have left, to share two things. One is how I have been using Forma in academia. And then the other one is, technically, a third option to what Andres said. There's the customer feedback and then the developers dreaming up amazing things, kind of, with their crystal ball. But the idea that Autodesk Forma is not just a closed ecosystem is really, really exciting and compelling, about the future trajectory of the tool and its adoption, I think.

But really quickly, about using form in the classroom, like I mentioned, I have another entire session on it. But it's a really great opportunity for students to test their assumptions and validate design strategies in an easy way. Using Rhino and Grasshopper is still really important, I think, for students to do. But this also, again, like Miguel is showing, gives them an opportunity to validate different tools and understand different workflows, to make them really valuable, in terms of getting their dream job.

In the bullet points here, there's a couple of things that are interesting. Testing the wind and different microclimate conditions of a site before you touch it is really interesting. And then, when you start impacting a site, are you actually maybe making the wind tunnel on a street worse than it was before? Not just focusing on your internal courtyard, for example. And then the fact that Autodesk actually made a connector for Rhino. And so you can still do Rhino and cool Grasshopper stuff.

There's somebody, Kevin-- I can't remember his last name-- from Nikken Sekkei in Japan, that has done a cool presentation last year. And I heard it's going to be at Autodesk University again this year, and Rhino and Grasshopper and pushing things through the connector, into Forma, for some almost real-time analysis.

And then this is-- I just have two slides left, I think. And then we're done. But this is an example of using the AI portion of Forma to analyze the traffic noise analysis. So this is before the clicking the blue button, which still only takes two to 10 minutes, as you can see there on the right. But as you start to manipulate buildings and move things around, you can both the wind AI analysis and the traffic noise AI analysis update in real time, based on adjustments that you're making, to try and mitigate noise and wind conditions.

And then, earlier, Miguel mentioned using historical weather data. There's a lot of really great resources out there now for projected future weather data and as it relates to climate change. And here in Forma, you can look at the wind as it might present itself in the future, using different carbon scenarios, as you can see highlighted there on the right.

And then the last thing is-- well, I guess there's this slide and one more. So this shows a third-party tool called FenestraPro, looking at detailed facade analysis for each orientation and understanding solar heat gains and some really robust tools from a company that's really spent many years in this space to help design window-to-wall ratios and specific testing, specific glazing types.

And then finally, Andres mentioned this embodied carbon workflow. So EHDD, an architecture firm in San Francisco, had developed this tool called EPIC. And behind it, it has this machine learning/AI, real-world building stock kind of embodied carbon database called C.Scale. And C.Scale has now been integrated into Forma.

And so here's an example. Autodesk sponsored me to create this Autodesk Forma video series I have on my YouTube channel. And this is an example of, really, how you should use these tools, right, to understand and iterate and look at good-better-best scenarios. So a concrete structure, a steel structure and a mass timber structure, and you can see the different embodied carbon scenarios.

And one really cool last comment about this embodied carbon database is that, for the cast-in-place concrete, the embodied carbon, global warming potential is accurate down to the zip code. Because every city and every location has different mixing plants. So there's not a global number for that.

And with that, we're super excited to have had this opportunity to present to you, show you what Lake|Flato is doing and a little sneak peek of Autodesk Forma, what's happening there and what will be happening at Autodesk University. And highly recommend you all definitely get involved in the beta or the user feedback channels to help influence the trajectory of the product. Miguel and Andres, do you want to add any last comments? And then we'll close her down.

MIGUEL ELIZARDO: No, yes, I'm just thankful for the opportunity. And I'm very excited for this. It's been a process. And I've enjoyed working with Autodesk and Andres and the team. Every time I've provided some feedback, they've been open and receptive to the information. And the product has come a long way. And I'm so happy to see its developments and implementation. I mean, our office really enjoys using the tools. So, I mean, I could see it getting better and better.

ANDRES D'SILVA: Yeah, all thanks to the end users, really. I think it's amazing to see what you've done in the time it's been on our beta, by select invitation-only to today and the access through the collection, as mentioned, for everyone, really. And, yeah, hope to see more engagements in our different channels to really push this forward.

DANIEL STINE: Thanks, everyone.

MIGUEL ELIZARDO: Thank you, everybody.

ANDRES D'SILVA: Thank you.

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Utilizamos los servicios de Commission Factory para recopilar datos acerca de su actividad en nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Utilizamos estos datos para poder medir el rendimiento de nuestro sitio web y determinar el grado de facilidad de su experiencia en Internet a fin de mejorar nuestras características. También empleamos sistemas avanzados de análisis para optimizar su experiencia con los servicios de correo electrónico, atención al cliente y ventas. Política de privacidad de Commission Factory
Google Analytics (Strictly Necessary)
Utilizamos los servicios de Google Analytics (Strictly Necessary) para recopilar datos acerca de su actividad en nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk. Utilizamos estos datos para poder medir el rendimiento de nuestro sitio web y determinar el grado de facilidad de su experiencia en Internet a fin de mejorar nuestras características. También empleamos sistemas avanzados de análisis para optimizar su experiencia con los servicios de correo electrónico, atención al cliente y ventas. Política de privacidad de Google Analytics (Strictly Necessary)
Typepad Stats
Utilizamos los servicios de Typepad Stats para recopilar datos acerca de su actividad en nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk. Utilizamos estos datos para poder medir el rendimiento de nuestro sitio web y determinar el grado de facilidad de su experiencia en Internet a fin de mejorar nuestras características. También empleamos sistemas avanzados de análisis para optimizar su experiencia con los servicios de correo electrónico, atención al cliente y ventas. Política de privacidad de Typepad Stats
Geo Targetly
Usamos Geo Targetly para dirigir a los visitantes del sitio web a la página web más adecuada y/u ofrecer contenido personalizado según su ubicación. Geo Targetly utiliza la dirección IP de los visitantes del sitio web para determinar la ubicación aproximada del dispositivo de los mismos. Esto ayuda a garantizar que los visitantes vean el contenido en el que probablemente es su idioma local.Política de privacidad de Geo Targetly
SpeedCurve
Utilizamos SpeedCurve para supervisar y medir el rendimiento de su experiencia con el sitio web midiendo los tiempos de carga de la página web, así como la capacidad de respuesta de elementos posteriores como imágenes, secuencias de comandos y texto.Política de privacidad de SpeedCurve
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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Mejora de la experiencia: Nos permite mostrar la información relevante

Google Optimize
Utilizamos los servicios de Google Optimize para probar nuevas características en nuestros sitios y ofrecerle una experiencia personalizada con esas características. Para ello, recopilamos datos de comportamiento mientras visita nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk, entre otros. Puede que acceda a una versión diferente de nuestros sitios debido a las pruebas de características que hacemos, o que vea contenido personalizado en función de su perfil de visitante. Política de privacidad de Google Optimize
ClickTale
Utilizamos los servicios de ClickTale para entender mejor en qué áreas de nuestros sitios puede experimentar problemas. Grabamos las sesiones para ver cómo interactúa con nuestros sitios, incluido cualquier elemento de las páginas. Su información personal identificable se enmascara y no se recopila. Política de privacidad de ClickTale
OneSignal
Utilizamos los servicios de OneSignal para mostrar publicidad digital en sitios respaldados por OneSignal. Los anuncios se basan tanto en datos de OneSignal como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que OneSignal haya recopilado de usted. Utilizamos los datos que suministramos a OneSignal para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de OneSignal
Optimizely
Utilizamos los servicios de Optimizely para probar nuevas características en nuestros sitios y ofrecerle una experiencia personalizada con esas características. Para ello, recopilamos datos de comportamiento mientras visita nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk, entre otros. Puede que acceda a una versión diferente de nuestros sitios debido a las pruebas de características que hacemos, o que vea contenido personalizado en función de su perfil de visitante. Política de privacidad de Optimizely
Amplitude
Utilizamos los servicios de Amplitude para probar nuevas características en nuestros sitios y ofrecerle una experiencia personalizada con esas características. Para ello, recopilamos datos de comportamiento mientras visita nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk, entre otros. Puede que acceda a una versión diferente de nuestros sitios debido a las pruebas de características que hacemos, o que vea contenido personalizado en función de su perfil de visitante. Política de privacidad de Amplitude
Snowplow
Utilizamos los servicios de Snowplow para recopilar datos acerca de su actividad en nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk. Utilizamos estos datos para poder medir el rendimiento de nuestro sitio web y determinar el grado de facilidad de su experiencia en Internet a fin de mejorar nuestras características. También empleamos sistemas avanzados de análisis para optimizar su experiencia con los servicios de correo electrónico, atención al cliente y ventas. Política de privacidad de Snowplow
UserVoice
Utilizamos los servicios de UserVoice para recopilar datos acerca de su actividad en nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk. Utilizamos estos datos para poder medir el rendimiento de nuestro sitio web y determinar el grado de facilidad de su experiencia en Internet a fin de mejorar nuestras características. También empleamos sistemas avanzados de análisis para optimizar su experiencia con los servicios de correo electrónico, atención al cliente y ventas. Política de privacidad de UserVoice
Clearbit
Clearbit permite el enriquecimiento de datos en tiempo real para proporcionar una experiencia personalizada y relevante a nuestros clientes. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Política de privacidad de Clearbit
YouTube
YouTube es una plataforma de uso compartido de videos que permite a los usuarios ver y compartir vídeos insertados en nuestros sitios web. YouTube proporciona métricas de audiencia sobre el rendimiento de los vídeos. Política de privacidad de YouTube

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Personalización de la publicidad: Nos permite ofrecer publicidad dirigida

Adobe Analytics
Utilizamos los servicios de Adobe Analytics para recopilar datos acerca de su actividad en nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk. Utilizamos estos datos para poder medir el rendimiento de nuestro sitio web y determinar el grado de facilidad de su experiencia en Internet a fin de mejorar nuestras características. También empleamos sistemas avanzados de análisis para optimizar su experiencia con los servicios de correo electrónico, atención al cliente y ventas. Política de privacidad de Adobe Analytics
Google Analytics (Web Analytics)
Utilizamos los servicios de Google Analytics (Web Analytics) para recopilar datos acerca de su actividad en nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Utilizamos estos datos para poder medir el rendimiento de nuestro sitio web y determinar el grado de facilidad de su experiencia en Internet a fin de mejorar nuestras características. También empleamos sistemas avanzados de análisis para optimizar su experiencia con los servicios de correo electrónico, atención al cliente y ventas. Política de privacidad de Google Analytics (Web Analytics)
AdWords
Utilizamos los servicios de AdWords para mostrar publicidad digital en sitios respaldados por AdWords. Los anuncios se basan tanto en datos de AdWords como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que AdWords haya recopilado de usted. Utilizamos los datos que suministramos a AdWords para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de AdWords
Marketo
Utilizamos los servicios de Marketo para enviarle contenido más relevante y oportuno por correo electrónico. Para ello, recopilamos datos sobre su actividad en Internet y el modo en que interactúa con los correos electrónicos que enviamos. Los datos recopilados pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, la tasa de apertura de correos y los vínculos seleccionados, entre otros. Puede que combinemos estos datos con datos obtenidos a través de otras fuentes a fin de mejorar su experiencia de compra o con el servicio de atención al cliente, además de ofrecerle contenido más relevante en función de procesos avanzados de análisis. Política de privacidad de Marketo
Doubleclick
Utilizamos los servicios de Doubleclick para mostrar publicidad digital en sitios respaldados por Doubleclick. Los anuncios se basan tanto en datos de Doubleclick como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Doubleclick haya recopilado de usted. Utilizamos los datos que suministramos a Doubleclick para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Doubleclick
HubSpot
Utilizamos los servicios de HubSpot para enviarle contenido más relevante y oportuno por correo electrónico. Para ello, recopilamos datos sobre su actividad en Internet y el modo en que interactúa con los correos electrónicos que enviamos. Los datos recopilados pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, la tasa de apertura de correos y los vínculos seleccionados, entre otros. Política de privacidad de HubSpot
Twitter
Utilizamos los servicios de Twitter para mostrar publicidad digital en sitios respaldados por Twitter. Los anuncios se basan tanto en datos de Twitter como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Twitter haya recopilado de usted. Utilizamos los datos que suministramos a Twitter para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Twitter
Facebook
Utilizamos los servicios de Facebook para mostrar publicidad digital en sitios respaldados por Facebook. Los anuncios se basan tanto en datos de Facebook como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Facebook haya recopilado de usted. Utilizamos los datos que suministramos a Facebook para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Facebook
LinkedIn
Utilizamos los servicios de LinkedIn para mostrar publicidad digital en sitios respaldados por LinkedIn. Los anuncios se basan tanto en datos de LinkedIn como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que LinkedIn haya recopilado de usted. Utilizamos los datos que suministramos a LinkedIn para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de LinkedIn
Yahoo! Japan
Utilizamos los servicios de Yahoo! Japan para mostrar publicidad digital en sitios respaldados por Yahoo! Japan. Los anuncios se basan tanto en datos de Yahoo! Japan como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Yahoo! Japan haya recopilado de usted. Utilizamos los datos que suministramos a Yahoo! Japan para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Yahoo! Japan
Naver
Utilizamos los servicios de Naver para mostrar publicidad digital en sitios respaldados por Naver. Los anuncios se basan tanto en datos de Naver como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Naver haya recopilado de usted. Utilizamos los datos que suministramos a Naver para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Naver
Quantcast
Utilizamos los servicios de Quantcast para mostrar publicidad digital en sitios respaldados por Quantcast. Los anuncios se basan tanto en datos de Quantcast como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Quantcast haya recopilado de usted. Utilizamos los datos que suministramos a Quantcast para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Quantcast
Call Tracking
Utilizamos los servicios de Call Tracking para proporcionar números de teléfono personalizados como parte de nuestras campañas. De este modo, podrá acceder más rápido a nuestros agentes y ayudarnos a medir mejor nuestro rendimiento. Puede que recopilemos datos acerca de su actividad en nuestros sitios en función del número de teléfono facilitado. Política de privacidad de Call Tracking
Wunderkind
Utilizamos los servicios de Wunderkind para mostrar publicidad digital en sitios respaldados por Wunderkind. Los anuncios se basan tanto en datos de Wunderkind como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Wunderkind haya recopilado de usted. Utilizamos los datos que suministramos a Wunderkind para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Wunderkind
ADC Media
Utilizamos los servicios de ADC Media para mostrar publicidad digital en sitios respaldados por ADC Media. Los anuncios se basan tanto en datos de ADC Media como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que ADC Media haya recopilado de usted. Utilizamos los datos que suministramos a ADC Media para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de ADC Media
AgrantSEM
Utilizamos los servicios de AgrantSEM para mostrar publicidad digital en sitios respaldados por AgrantSEM. Los anuncios se basan tanto en datos de AgrantSEM como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que AgrantSEM haya recopilado de usted. Utilizamos los datos que suministramos a AgrantSEM para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de AgrantSEM
Bidtellect
Utilizamos los servicios de Bidtellect para mostrar publicidad digital en sitios respaldados por Bidtellect. Los anuncios se basan tanto en datos de Bidtellect como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Bidtellect haya recopilado de usted. Utilizamos los datos que suministramos a Bidtellect para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Bidtellect
Bing
Utilizamos los servicios de Bing para mostrar publicidad digital en sitios respaldados por Bing. Los anuncios se basan tanto en datos de Bing como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Bing haya recopilado de usted. Utilizamos los datos que suministramos a Bing para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Bing
G2Crowd
Utilizamos los servicios de G2Crowd para mostrar publicidad digital en sitios respaldados por G2Crowd. Los anuncios se basan tanto en datos de G2Crowd como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que G2Crowd haya recopilado de usted. Utilizamos los datos que suministramos a G2Crowd para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de G2Crowd
NMPI Display
Utilizamos los servicios de NMPI Display para mostrar publicidad digital en sitios respaldados por NMPI Display. Los anuncios se basan tanto en datos de NMPI Display como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que NMPI Display haya recopilado de usted. Utilizamos los datos que suministramos a NMPI Display para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de NMPI Display
VK
Utilizamos los servicios de VK para mostrar publicidad digital en sitios respaldados por VK. Los anuncios se basan tanto en datos de VK como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que VK haya recopilado de usted. Utilizamos los datos que suministramos a VK para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de VK
Adobe Target
Utilizamos los servicios de Adobe Target para probar nuevas características en nuestros sitios y ofrecerle una experiencia personalizada con esas características. Para ello, recopilamos datos de comportamiento mientras visita nuestros sitios. Estos datos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado, su dirección IP o ID de dispositivo, y su ID de Autodesk, entre otros. Puede que acceda a una versión diferente de nuestros sitios debido a las pruebas de características que hacemos, o que vea contenido personalizado en función de su perfil de visitante. Política de privacidad de Adobe Target
Google Analytics (Advertising)
Utilizamos los servicios de Google Analytics (Advertising) para mostrar publicidad digital en sitios respaldados por Google Analytics (Advertising). Los anuncios se basan tanto en datos de Google Analytics (Advertising) como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Google Analytics (Advertising) haya recopilado de usted. Utilizamos los datos que suministramos a Google Analytics (Advertising) para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Google Analytics (Advertising)
Trendkite
Utilizamos los servicios de Trendkite para mostrar publicidad digital en sitios respaldados por Trendkite. Los anuncios se basan tanto en datos de Trendkite como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Trendkite haya recopilado de usted. Utilizamos los datos que suministramos a Trendkite para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Trendkite
Hotjar
Utilizamos los servicios de Hotjar para mostrar publicidad digital en sitios respaldados por Hotjar. Los anuncios se basan tanto en datos de Hotjar como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Hotjar haya recopilado de usted. Utilizamos los datos que suministramos a Hotjar para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Hotjar
6 Sense
Utilizamos los servicios de 6 Sense para mostrar publicidad digital en sitios respaldados por 6 Sense. Los anuncios se basan tanto en datos de 6 Sense como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que 6 Sense haya recopilado de usted. Utilizamos los datos que suministramos a 6 Sense para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de 6 Sense
Terminus
Utilizamos los servicios de Terminus para mostrar publicidad digital en sitios respaldados por Terminus. Los anuncios se basan tanto en datos de Terminus como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que Terminus haya recopilado de usted. Utilizamos los datos que suministramos a Terminus para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de Terminus
StackAdapt
Utilizamos los servicios de StackAdapt para mostrar publicidad digital en sitios respaldados por StackAdapt. Los anuncios se basan tanto en datos de StackAdapt como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que StackAdapt haya recopilado de usted. Utilizamos los datos que suministramos a StackAdapt para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de StackAdapt
The Trade Desk
Utilizamos los servicios de The Trade Desk para mostrar publicidad digital en sitios respaldados por The Trade Desk. Los anuncios se basan tanto en datos de The Trade Desk como en datos de comportamiento que recopilamos mientras visita nuestros sitios. Los datos que recopilamos pueden incluir páginas que haya visitado, versiones de prueba que haya iniciado, vídeos que haya reproducido, compras que haya efectuado y su dirección IP o ID de dispositivo. Esta información puede combinarse con los datos que The Trade Desk haya recopilado de usted. Utilizamos los datos que suministramos a The Trade Desk para personalizar aún más su experiencia con la publicidad digital y mostrarle anuncios más relevantes. Política de privacidad de The Trade Desk
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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Nos gustaría proporcionarle una experiencia óptima. Si selecciona “Sí” para las categorías que aparecían en la pantalla anterior, recopilaremos y utilizaremos sus datos para personalizar su experiencia y desarrollar mejores aplicaciones. Para cambiar su configuración en cualquier momento, consulte nuestra declaración de privacidad

Su experiencia. Su elección.

Nos importa su privacidad. Los datos que recopilamos nos ayudan a comprender la forma en que se usan nuestros productos, la información que le podría interesar y lo que podemos mejorar para que su interacción con Autodesk le resulte más provechosa.

¿Podemos recopilar y usar sus datos para adaptar su experiencia?

Explore las ventajas de una experiencia personalizada mediante la administración de la configuración de privacidad de este sitio o visite nuestra Declaración de privacidad para conocer mejor las distintas opciones.