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Leveraging BIM and GIS Integration in Architecture and Planning

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Description

Over the years, BIM and GIS integration has emerged as a game-changer, not only in large-scale infrastructure projects but also in architecture and planning endeavors. Sweco, a global leader in engineering and architecture, has spearheaded innovative methods and workflows to streamline data flow in both small- and large-scale projects. Our focus on seamless integration of BIM and GIS data has yielded substantial benefits, facilitating effective communication, and ensuring designs align with site conditions. During this session, Sweco will showcase real-world examples from various architecture and planning projects where BIM and GIS data were combined. These examples highlight the value of integrating powerful tools such as ArcGIS Pro, ArcGIS Online, Revit, Autodesk Forma, ACC/Bim 360 Rhino, and more.

Key Learnings

  • Connect Workflows, Data, Teams: Cloud-based collaboration across disciplines for a holistic approach.
  • Outcome-Based Design, Insights: Data-driven decisions and simulations for optimized outcomes.
  • Expand Stakeholder Engagement: Engage owners with digital twins for enhanced understanding.
  • Planning for Efficiency: Streamline tasks, boost productivity, and encourage creativity.

Speaker

  • Avatar for Adam Sjödin
    Adam Sjödin
    Adam Sjödin is a urban planner and digital strategist working at Sweco Architects in Stockholm, Sweden. He works with urban planning projects in all scales both in Sweden and abroad.
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Transcript

ADAM SJODIN: Hello. Welcome to my Autodesk class Leveraging BIM and GIS Integration in Architecture and Planning. My name is Adam Sjodin. I'm an urban planner and digital strategist at Sweco architects in Sweden-- Stockholm.

I work with all different types of urban planning projects, all different scales, from early stage property development up to master planning and regional planning. I work a lot both in Sweden and outside of Sweden, mostly in China outside of Sweden. I also have a role as a digital strategist here in the Stockholm office for our architects, so I focus on finding new ways of using technology, making sure our colleagues have the best tools available to them, and the best ways of working.

As I said, I work at Sweco. We're a big architecture, engineering consultancy firm in the Nordics. We're about 20,000 architects and engineers, we have over 100 offices worldwide, and we have over 50,000 projects carried out in 70 countries.

And I'm in the architecture division of Sweco, and I think we're the fourth largest global architecture practice. We have over 1,400 colleagues. We have architects mostly in Denmark, Sweden, Germany, Finland, Poland, Belgium, and Norway.

But today, I'm here to talk about BIM and GIS for architects, and how architects can harness the power of GIS. So I got into GIS a couple of years ago and felt like it was being underutilized by architects. It can be used more by architects to make our projects better and have our architects better informed.

So I'm going to show a couple of ways of using GIS in architecture projects. And since we work with architecture, we work a lot with BIM. So we have worked a lot trying to figure out how to fit GIS into our BIM workflows and our regular workflows, and how to get our models to talk to each other. So I will show three different projects in Sweden where we work with this methodology.

I'm going to speak about using BIM and GIS as a project platform where you can gather project data. I'm going to show how you can use BIM and GIS to provide a city-wide context for a project to visualize a BIM project in its context. I'm going to show a project where we more coordinate and visualize data for several stakeholders, and how it can be used to test and validate design options.

So this is the architecture and design process as envisioned by Autodesk and Esri, where we have the kind of design and build phase, which traditionally is quite BIM-focused. And we have the more planning and operation phase, which traditionally is more focused. But I think what we can see today is BIM being available, and coming earlier and earlier into the projects, and staying on longer and longer into the projects. And the same with GIS staying on longer, being able to deal with the more detailed information in 3D. So these half circles start to blend, and architects are very much involved in this inflection point, in the blending point between BIM and GIS.

And for some local context for Sweden, why we focus on BIM and GIS integration a lot is that there's a big focus on the digitalization of the entire urban planning process being carried out by the Swedish government. A lot of emphasis is being put on this because there's been a report from the Swedish mapping cadastral and land registration authority, where they identified that there's a lot of money to be actually saved in the business by having more digital workflows and a more unbroken flow of information, where they see that they are over 40 billion Swedish krona-- around $4 billion USD to be saved every year by having more efficient workflow and sharing data in a better way across a project's life cycle. And a lot of the savings-- around $20 to $40 billion, is in the build phase project, which is later stages than what I will show examples of today. But to be able to reap the benefit further down the line, you have to be in the right way of working from the beginning. So that's what I'm going to focus on-- the kind of early stages from regulatory, permitting, master planning into the early stages of the design work.

So this is the kind of vision that the Swedish authorities have of this unbroken flow of information and one source of truth of data in the entire process. Sweden is actually now developing a national platform for all geo data in the construction and planning process in Sweden, which this database is slowly being built up over time, focusing on layer by layer. The first one, the layer that's live and working in this database, is the zoning laws and the detail plan as we call zoning in Sweden. But we're not quite there yet because we have a really digital process today.

In our architecture and engineering projects, we do a lot of really advanced analysis. And we create really advanced 3D models in BIM programs. And we do the wind analysis and noise analysis-- all these very advanced and digital kind of analysis in projects.

But they have a tendency to end up in a PDF in the end. And that has a tendency to end up in a file drawer, either a physical one or a digital folder somewhere. And that leads to a fragmentation of the building process, where a lot of data gets lost between project phases, which leads to double work, can lead to errors in projects, and just not a very efficient way of working. So we're actually quite far, I would say, from this vision of an unbroken flow of information.

But now I will show some examples of how we've been trying, in three different projects, to gather data in a more efficient way and sharing data by using BIM and GIS integration in early-stage architecture and planning projects. So this is a case study of three projects. It's one project in Alster and in Karlstad in Sweden where we used BIM as a project platform for the project, where we gather all the technical investigation that was being done during the project so that everyone involved in the project-- from our client to the municipality to our own organization, Sweco, could access the data in an easy navigational way, and an easy way to get to the data.

I will also show Trangkaren in Stockholm. That's actually the block of the Sweco headquarters where I'm sitting right now, where we used BIM and GIS to visualize a potential development of this block. And we used it to visualize the block in its context, because Stockholm is a very historical city.

So in large urban planning projects here in Stockholm, the views and the skyline of the city is very important, and something you have to investigate in all projects where you build taller buildings. So there, we used a BIM and GIS platforms to visualize our BIM models in a city wide context to address the visual impact on city image and skyline. And I will also show a project in Ornsberg in Stockholm, which is a transformation area. It's going from an light industry area to a mainly residential area, where we used BIM and GIS platform to visualize quite detailed BIM models from several different architects in an urban planning project. I think there were about eight different architects involved in the project, and we used this platform to coordinate and visualize all the models in one place.

So the first project, Alster in Karlstad, is an early stage architecture and planning project. It's right outside the city limit of Karlstad. The client is a private client-- Lantmannen.

And here, Sweco had quite wide scope of work. We did the architectural concept for the site. We helped with all the studies that needed to be done for the zoning-- the detailed plan. And we did a lot of technical investigations-- geotechnical, risk, noise, ground polluting, stormwater, et cetera.

And here, we used a combination of Revit, ArcGIS Pro, ArcGIS Online for this web model that we're about to look into. And the models were shared in Autodesk Construction Cloud. I think back here, when this project was being done, it was in BIM 360.

So I will give a quick demo of the project. So here we are in the ArcGIS online web GIS environment, where we coordinate all of our data. So you can see, we're in Sweden here-- here in the middle of Sweden here in Karlstad. Here is Karlstad city. And project here is right outside.

So we started with getting in basic information in the beginning. The property lines-- so this is the property here inside the big one. And we started gathering different data layers. So we could see, for example, this is in a cultural heritage protection area, right next to it. So this data is actually being streamed from the government agencies in Sweden that control it.

We started gathering information early. We wanted to get some information about underground piping. But in the beginning, we didn't have access to any schematics.

But we actually got some hand sketches from a property manager out here. He did some just hand sketches. And we thought it's better to put it in the digital platform than it ending up in a drawer somewhere, so we could actually have these sketches in the 3D model. But then when we came a bit later in the project, we actually got the full DWG of the piping network.

And then we started doing lots of analysis in the area. So we, for example, did a noise analysis because there's a railroad in the south and there's a highway in the north. So we did lots of different noise analysis in the project, and we gathered all the information in this platform.

We did geotechnical surveys where we sent out the people with the big drills drilling into the ground, finding out the geotechnical conditions for the site. You can see where the drill points were, and you got some information of the drilling. But in that one, that actually resulted in a report that said the area was good. It was stable, except for along this river here. There's quite a steep slope that we wanted to keep away from.

So they said for us to keep 50 meters away from this slope, but that was only as a line of text in a report. So then we visualized it actually here in the model, so we could see exactly where is this line that we should try and stay behind this. We did some stormwater analysis and early-stage identifying low points where it can be water gatherings in torrential rains.

We did ground pollutions. We were out on site, tested for ground pollutants. And here we could see some sites that they found some pollutants. And then you can go in, and see exactly which kind of pollutants, which levels they were at. And we did some just initial mapping.

There's, like I said, a big road in the north and a railroad in the south, where there's safety distances that you can actually be within these. But then there are other laws and requirements that you have to think about. So we had all the background data gathered in this project, so that could then help us when we started developing the architectural concept, and also when we did a volume study, here done in Revit.

So we did just a simple volume study in Revit. We got the volume study in here to provide some context. And then we actually have-- this is quite powerful, I think a point cloud.

So there's a point cloud for all of Sweden. It's not super-highly detailed. But there is actually one point cloud for all of Sweden, where we went in the GIS and filtered out the vegetation.

So this was actually being used here, since I said this was a cultural heritage area. That has to do a bit with there's an old historical building here. That's quite important.

So then we had meetings with the municipality. And they were wondering about the visual impact of this new development from this historical site, where we could then go in the model and show that it should be quite all right, actually, with the vegetation cover. And they could themselves go into the model and check this.

And me working as the coordinator for all these digital files, I didn't have to be in the meetings with them, because these kind of web platforms are quite easy to navigate. So if you can navigate Google Earth or something, you can navigate this platform. So then the project manager from Sweco could use it by herself, or the municipal municipality could use it by themselves, to go in and study the model deeper. So that was the Karlstadt project.

So the next project, I will show a bit about this, like I said, Trangkaren. This is the site of the Sweco head office. It's an early-stage architecture and planning project. It's located right in the center in Stockholm on Kungsholmen. The client is the property owner of the property Arheim.

And here, Sweco was responsible for the architectural concept for half of the site. This was a joint architecture venture with another architect firm that did one of the buildings, and Sweco did one of the buildings, in these early stages for the zoning for the detailed plan. So I will show that quickly now.

And so again, we're back in the same type of web model here, where we can zoom in to Stockholm here. Here, we can see, we have a 3D model of all of Stockholm, which actually Stockholm municipality-- Stockholm City. They share openly. It's open data to get this building layer.

So then this is the block here. I'm sitting in this building right now. This is the Sweco head office-- this entire big building here. And like I said, in this project, the city image and the skyline was a very important issue that we could use this model to investigate.

So in the beginning of the project, there were identified some important view points that are going to be very important to follow during the project's development, how these different architectural proposals would be visible from these points. So we gather them. And actually here also, right to the north here, we have Bromma airport, which is a city airport of Stockholm. And the in-flight flying is right over this site, actually. So we also have some height restrictions from the Swedish Aviation Agency.

And I've only seen it displayed as a 2D map with some lines that says the heights. But we could actually then put those heights into the 3D model and have a visual impact of where the height limitations of the flying for this airport is, so we could all see how we adjusted to that. And then we can see, here are some of the examples of how this block could be developed. It's not finalized yet. It's still in the process. It's out for public consultation right now.

But then, we could have these volumes in. We can turn them off. And we can go to different sites in the city that we prepared here-- these viewpoints that we set earlier.

Then we could save those sets as bookmarks. So we go into one place. Turn on the two proposals. And during the working process, this was actually being used to try different alternatives and see their impact on the skyline.

So we did different detailing. I think we did a lot of different proposals, actually, during this project. And all of them could be studied in detail, then, in this model by the urban planners of the municipality themselves. So they didn't need us to sit in on on all the meetings. They could themselves go in and see how these buildings affected the skyline from different views.

And like I said, this project is still ongoing. And if it were to continue sometime, this platform is quite powerful, even when it comes to more advanced BIM models. And since we're here right at the Sweco office, I tried putting in our actual BIM model of the Sweco office, so that when you come further in a project like this, you could actually start having the full detailed BIM models in these kinds of web platforms as well, and use that to go deeper and investigate the models more in detail, where you can go in.

And like I said, this is our BIM model of the office where we actually have-- we use it for of furnishing and everything. So we have tables and chairs and furnishing and everything in this model. So it's quite powerful to be able to have these very detailed BIM models in this contextual model of the whole globe, essentially.

So then the last project I will show is Ornsberg, another project here in Stockholm. It's a detailed plan project. Like I said, it's a transformation of a light industrial area into residential. Here, Sweco were responsible for helping the city with the zoning, the detailed plan. And also, we did the architectural program's design guidelines for this area-- architectural design guidelines.

And here, we used a BIM and GIS then to visualize all these different architectural companies' BIM models together, because the city planners from the city at one time in the project were having difficulty to grasp the project as a whole, since most of the architects presented just their building and how it looked. But they needed to see all of them in the context. So we used this model to put all of them together. And here, we actually used Autodesk Forma, formerly known as Spacemaker when we did this project, to do some quick site studies as well. So I will show that quickly now.

So again, we're in the south of Stockholm, right outside the city center. So here, all of these different buildings are being done by different architects. So the planners that the city had had difficulty understanding the full impact of this. And they wanted to visualize the buildings in their context to be able to have these models in meetings to be able to go around, have discussions in meetings, set which were going to be crucial angles to be studied further, or where to do real architectural renderings later on in the project.

So like you can see here, there are quite detailed, actually, BIM models of most of the blocks here. And it could, as the previous model, also be used to try different alternatives-- different heights of different buildings. And they could use this to evaluate different options. And also, we did a quick-- this is a building that's being saved-- an existing building.

But in one stage in the project, they started discussing what if we develop this site as well. What would happen? Then we could go in and do really quick volume studies in Autodesk Forma which is like a parametric design tool for these early-stage building volumes.

So then we didn't have to worry about the context model in Forma. We could focus on the block. We could do some different alternatives. And we could quickly and easily get them into this overall model, and see the impact of what it would be like developing this block. But it's decided to keep this.

And what was actually quite good here is, since we were doing the architecture program as well, we could use this model when we were going to develop our illustrations for the architecture program. So here, we could use the BIM GIS model as a base for making all of our illustrations, describing important factors and important design concepts in the project. So these, we got more or less straight out of the BIM/GIS model, and just highlighted some of the lines in Illustrator.

And the same when we were going to do these large landscape sections, to show the project in a wide context. We could slice this in the BIM/GIS model as well, which was really quite nice. Then you can do more or less how big sections you want. And these were also more or less live screenshots-- live exports from the BIM/GIS model, where we went in Illustrator and just highlighted the edges.

So that was for some kind of different ways of working with BIM and GIS in these early-stage architecture projects. Because I think when we see BIM and GIS being shown and being demoed, we see a lot of these big infrastructure projects where it can provide lots of good insights and give context as well. But I wanted to show that actually, it can be used in smaller planning projects and architecture projects as well.

And I think one of the big conclusions that I've experienced from working with this project. This is both an opportunity and a success factor for this. It's communication. It's helping people to communicate in the projects to be able to sit around the same model and have different types of data in one model.

And like I said, I think communication is also a success factor to make this work because it can be quite complex, different file formats, how they integrate. And especially in these very early stages of projects, maybe a lot of people don't work with BIM manuals. Everybody-- especially when there's lots of different maybe architects involved, lots of them work in different ways.

Then communication is very important as well. The early stage in the beginning of the project, sit down with the people involved, explain and talk about how everyone is working, what programs they are working in, what file format they can use to import or export. So that's, I think, a really good benefit.

It's easier to communicate, but it's also a necessity when you want to start combining BIM and GIS data is to communicate with all the parties involved in the project to make sure that everyone understands what we want to do, and to find the most efficient ways of doing this. Because if you just spend some time in the beginning of the project talking with an open mind, I think there's ways of working with this that it doesn't actually have to add any hours to the project. The opposite-- it can actually save hours.

But I think another big conclusion-- I see that this can kind of lead to a big democratization of data. Today, when we see these really advanced BIM models or GIS models in the desktop software, the desktop softwares are becoming really powerful and really advanced, but also then maybe quite hard to use for some people. And maybe when you work with municipalities, for example, a lot of them don't have access to BIM software. So working with these kinds of cloud platforms, web viewers, it's a really good way of democratizing the data, making sure that everyone involved in the project can access the data.

But I think one of the biggest realizations and conclusions for us is it helps us create context-aware architecture. We can make sure that our architecture and our proposals fits in the environment that they adapt, and that they kind of respond to analysis, to cultural heritage, to existing buildings, to surroundings. So I think this is a really important conclusion, because sometimes, maybe some architects have a tendency to forget that there's things going on outside of the building as well.

And this is a really good way of making sure everybody realizes and reminds themselves that the buildings that we draw and produce are actually in our context. They're in a city. So working with this more in the future, I hope it will continue to help us creating better architecture in our projects, because that's what we ultimately want to do.

So that was it for me. Thank you for listening. I hope you have a great conference and see other interesting presentations. So thank you.

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We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. 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.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

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Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords 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 AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick 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 Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter 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 Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook 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 Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn 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 LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan 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 Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver 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 Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast 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 Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind 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 Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media 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 ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM 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 AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect 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 Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing 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 Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd 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 G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display 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 NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK 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 VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) 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 Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite 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 Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar 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 Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense 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 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus 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 Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt 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 StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk 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 The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
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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