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Automation in Sweco: Scaling the Adoption of Dynamo

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Description

The global engineering services market is expected to grow by 8% on an annual average basis in the next 5 years (Mordor Intelligence). To meet this goal, automation is key to deliver better and more projects, with fewer errors and in less time. Sweco is Europe’s leading design consultancy operating in over 13 countries and 17500 employees. In this class, we will present how Sweco has scaled the adoption of Dynamo and improved the collaboration across countries with the assistance of Autodesk Consulting. We will present the reasons why establishing that kind of infrastructure makes sense in a global company, but also the how. Whether you’re an experienced business leader in AEC seeking strategic advice or a Dynamo savvy “techie” looking for ways to scale Dynamo adoption, this session will suit the both of you.

Key Learnings

  • Know the strategic necessity of establishing a Dynamo community
  • Learn how to set up a platform for sharing Dynamo scripts from a technical standpoint
  • Know how to establish metrics for measuring uptake on Dynamo and Automation
  • Do's and don'ts and key takeaways from establishing a plattform and community in a large company.

Speaker

  • Jostein Olsen
    Jostein Olsen is a BIM-specialist and structural engineer working for Sweco Norway AS. In Sweco, with a small stay at Bad Monkeys, he has gathered 14 years of experience in the AEC industry working on everything from small scale industrial projects to large infrastructure projects and even software development. He has a wide experience with practical BIM workflows and has dug deep into the wonderful world of programming. He has a passion for finding the practical middle ground between the BIM-idealists and the more conservative forces in the industry and thinks parametric modelling software and programming is closing that gap.
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Transcript

JOSTEIN BERGER OLSEN: Hi, and welcome to all of you. So scaling automation, that's today's topic. In order to hold anything up, you know, a building, a bridge, a company, you need pillars, something to rely on.

And in my company, there's four. Four pillars. Four pillars of, well, operational excellence, if you wish. And once I could talk to great lengths about all of them, or I want to highlight one of them here today for you, because it is so [AUDIO OUT] and to all the things I'm going to talk about.

And the one I'm referring to is this one. Decentral. One of the pillars of my company is to be decentral. It is the key to our existence, even. The reason, stripped down to its essence, is because then we're close to our customers. That's essentially how we make money, and thus continue to drive, and drive the world forward.

Another pillar that I will mention is the internal efficiency one. We want to be efficient at what we do. So really, those two pillars combined, of course, with the others as well, but those two, in particular, sets the stage for today's topic. How the heck do we scale automation in a decentralized organization?

So what organization are [AUDIO OUT] you say? And it's this one, Sweco. And [AUDIO OUT] that we are Europe's leading architecture and engineering company. And if you're interested in this kind of stuff, I can mention that we are well above 17,000 employees right now.

We earn money. That's good. And now, to my horror, I see that the bottom right figure might be mistaken, actually. We do, in fact, have more than 70 plus projects. What it means to tell is that we have projects in more than 70 markets. It's quite a difference. Well, anyways.

Basically, we're all over northern parts of Europe. The one speaking to you right now, from the abyss of recorded online conferencing, works at that company, and that someone is me, Jostein Berger Olsen call me Justin if the Norwegian pronunciation is a bit hard on your tongue.

But I've been in the industry for 13 years in AI capacity. I work with infrastructure stuff, big plans, skate parks and Revit. Yeah, usually I'm describing myself as a potato. Not particularly good on my own, but goes OK with a lot of stuff. Or jack of all trades. Sorry for that one.

And by that, I also participated in some of our strategic initiatives on digitalization over the last year or so. So don't write me off entirely rhetorically for not having executive manager in my title there. Basically, I've been around for a while, and I think I have some insights on many levels In my organization, and hopefully some of that can be of use to you watching this, wherever you see it, and what time you're watching this.

So that was my decentral organization and myself. So I was thinking to myself, given this subject, Automation in Sweco, Scaling the Adoption of Dynamo, what could I possibly say about this in half an hour or so that would actually give people something without boring them half to death?

And the two things I ended up with were these. We're going to go a little high. We're going to go a little low. First, we're going to have a look at some, well, basically strategic tips and tricks. I don't want to share too much of course, given that our competitors are going to watch this probably, but I'll try to give some advice on the strategic level about scaling automation, again, in a decentralized organization like mine.

And then what I'm going to spend also some time on is to dive down again in one of the tactical implementations that we've done over the last year or so together with Autodesk. So hopefully, there will be something for everyone here. We'll see.

All right. So first up, some tips and tricks. Some tips and tricks when it comes to strategy, the subject matter, scaling and automation. The first tip I want to come with is to have a proper mandate. It's barely even a tip. It's so cliche.

But I cannot stress this enough, how important it is to have a proper mandate, an actual mandate for implementing automation, or really any kind of digital initiatives at scale. And this is especially true in decentral organizations like Sweco, where a lot of power sits out in the different business areas.

So if you want to succeed on heightening automation, and other digital initiatives in your organizations, you will have to have this designated mandate. And if this is treated, by experience, likely by the C-level executives, I promise you it will fail.

You need clear mandates, allocated resources, and paint a clear picture for everyone how things are going to be governed. And this sounds really easy, but it is extremely hard to implement. And the thing is that without it, you will lose a lot less-- you will have a lot less forward momentum on this.

So that's one of the first things to really get in order when dealing with scaling automation, is to establish this mandate, and go for that mandate, and really clarify that before pretty much doing anything else. And this is something [AUDIO OUT] had a group-wide initiative for how probably mandates digital initiatives like this one across all the business areas.

The second tip I want to give is don't underestimate the power of communities, or don't underestimate communities. Or rather, horizontal alignment, if you want to use that kind of management talk, if you wish. So in a decentral organization like ours, there is always at least three forces or vectors, if you wish, working on any given employee or team or business area, et cetera. Represented here by the black dot, you can see in the right-hand picture there.

The first force or vector pulling on people, you know, that's always pulling on people's attention, that's the vertical vector. The management up ahead of you. The responsibility is that you or the team have to the chain of command. Economy reporting, control oriented stuff, all of that. Yeah, I need you [INAUDIBLE] now, you know that drill probably.

The second force or vector pulling on people in the organization, which I think is the biggest one in, at least in a AC consultancy, that's the external vector. Our obligations to external clients, our projects, et cetera. And the last one is where we can really get value out of being a big company, a big organization. And that's a horizontal alignment to our organization, to other business areas, to other teams, to other colleagues, and so on.

Now, usually what happens is that that external vector you see right here drags us away from doing any internal work cross-border or cross-BA, right? Because it basically hurts our billable time. And here, if you spend some centralized hard earned overhead money building communities that focuses that internal vector, that blue one, as you can see, it will improve business.

Even if you flip it, the costs of not knowing is so immense. Like if we take design technology, and just as a small part of this, like who can I ask about Dynamo in my company of 17,000 employees? Where can I find template files? Who can I ask when stuff really hits the fan, to put it nicely.

So this internal vector, with some central fertilizing, it's really going to make a change, in my mind. And one quick example of that is the bridge project that we did here in Norway called [INAUDIBLE] Bridge, by my fantastic colleagues.

It started almost out of the blue. So some colleagues of mine got some resources to get together across the border and be nerdy, even, you know, doing visual programming. And that was funded by the organization, a little fertilizing there. And later this start event spurred on a community of like-minded people. And then that team later ended up with designing this bridge, using all of that shared knowledge.

And the project won multiple awards for being innovative. A lot of responses, a lot of PR online, and other places as well for the project, and for all the stakeholders. So this was a win-win for everyone, right? And this happens just because someone in charge spend a little fertilizing money on it early on, on building a community.

And who knows, imagine if they got to know from their line managers or the organization there instead? Maybe it would have happened the same way, but most probably not, right? So don't underestimate communities and that inward vector in companies. It's a really important part of building good organizations, in my mind.

So the next step is a little bit different. It's more a way for categorizing different initiatives and how to govern them, in a way. Both for scaling automation, but also other digital initiatives, if you wish. And it is a four-part approach.

So in this case, let us take design automation as a case here now, since most of you are familiar with that ecosystem already. So I'm not going to talk about automation initiatives on travel expense, management systems, or stuff like that right now. But more automation within that design ecosystem, if that makes sense. Hopefully it does.

So starting at the bottom there, with the foundation. In order to scale automation, it is essential that you have a good foundation. We cannot build all our tools as engineers and architects from scratch. We need a vetted and solid portfolio of software platforms that can serve as a basis for both our revenue, but also for spurring other automation initiatives.

And this means having licensing agreements in place with all of this. You need your Office packages, Office 365, and stuff like that. Other back Office systems, maybe. Even having templates in place for all of you. Yeah, et cetera.

And this is traditionally an IT responsibility, right? So once you have that in place, you can sort of build on top of that, where maybe the first level, which is basically tactical automation workflows. And given our context, that can be Dynamo. That can be Grasshopper, Python, Power Automate, stuff like that.

Automation workflows, that sits right in our projects. So for instance, using Dynamo to automate sheet creation in Revit, right? The point is it is tactical. It's highly bespoke and customized to the projects. We could build a big system for dealing with Dynamo scripts, and so on.

But in our experience, the real value, where a central organization can get the most in return investment is by focusing on building communities, provide a toolbox for those communities, and also do metrics of that community to sort of measure the buzz in the community, and also report maybe back KPIs to the mandating body, in this case. I'll show you an example of this later.

There reason for this is that maintaining a centralized approach to maintaining all of these scripts, and making sure it's quality checked, it's very resource intensive. I'm not saying it's wrong. But on this level, things will always shift around. So if an automation initiative is recognized to be on this level, we should focus on developing thriving community that freely shares with each other, making sure they have the resources to do so.

And of course, you know, again backed in a real solid mandate, to make sure that we always know what kind of tools we should prioritize, what should we focus on, and so on, across all the different business areas.

The second level box or developed software initiatives. Well, one example in this particular context could be adding some Revit, you know, more proper automation tools maybe. And on this level, it is also important with communities and stuff like on level 1, but we also need this additional layer of professionalism when it comes to developing software.

We need testing. We need proper debugging tools. We need to have repositories, deployment strategies, all of that. The reason is is that this level scales beyond level 1, and will probably be used by more people. So also from a risk mitigation perspective, it's also necessary to, as much as possible, avoid personal dependencies.

Meaning that Frank, who sits in the technical services team in Norway, and built this amazing rock validation tool in C sharp from scratch, he should have a proper governance model in place so that his code his traceable, the code is centralized, and [? repoed ?] and quality assurance.

So that if Frank [AUDIO OUT] we still have the code base available and possible to maintain for others. And we don't lose knowledge that easy as we have done in the past. So that, essentially, initiatives on this level require you as a company to really commit. And to me, that's really a strategic decision.

Do you, as a non-software company, want to deal with this kind of work? If yes, have the guts to build a proper dev environment. Otherwise, buy this from somewhere else. And just my two cents, I think if you don't do this as a AC company in 10 years time, I think you will find the world a really hard place to be, to be honest.

And Additionally, it will make you more prepped for actually buying software from third parties in the future as well, because you have the necessary procurement competency. So, you know, yeah.

The third level [AUDIO OUT] briefly touch. But basically, it is initiatives that is on the forefront of innovation, and that will guide us into the future. We can represent new business models and new opportunities. Proves great marketing material, to be honest.

But again, even more risk, as well. So represented here in this picture by my colleague's work on a REST API system called Scala, something like high par for those of you who know what that is. But basically, a REST API system for connecting our highly siloed engineering approaches together. So that's the level three initiatives, and I think that's as much as I'll say about that subject.

So in short, what the mandating body, together with the C levels, should focus on is how do we choose to spend resources between all of these on digital initiatives. What kind of profile do we want? What kind of profile do we need? And again, this system may also be applied to other parts of the business, like well, I don't know, HR, for instance, maybe have a level 1 initiative to develop some awesome Excel tools for them, for [INAUDIBLE] That will help you out immensely.

And maybe even our software, stuff that we developed ourselves on level 2, where we've internally developed the travel expense system that I talked about, that I wouldn't say anything about, but I did. But that's like a level 2 initiatives. It's more proper software, if you wish. And so on.

So that was sort of the high flying stuff. Let's dive right into some tactical approaches, and so many of it. To kind of a tactical story on level 1. So basically, what happened was that we identified a wish in our organization to take a leap when it comes to Dynamo. We wanted to push that forward.

And Dynamo is very much a level 1 automation tool. So we were a bit short staffed internally to do it ourselves. So we made good use of the major account deal that we have with Autodesk, and got hold of Autodesk consulting.

More specifically, this wonderful human being up in the right corner here now, Raquel Bascones Recio, shoot me if the pronunciation is wrong, Raquel, but she was very helpful. She did training for us. She developed an extensive report, I would say, on governance models, template files, processes, and a lot of other stuff as well. I can't possibly get through all of this.

But Autodesk. I mean, Autodesk really did help us a lot. And we managed to get allocated some internal resources as well. Really tried to scale up the adoption of Dynamo in Sweco.

So what we focused on was exactly the same as I showed you previously. So on this level, level 1, we wanted to go for a community building with training, and sort of a platform for doing this community building on. We needed metrics in place to assess both the community itself, but also measure KPIs and so on, to follow up the mandate on this.

And lastly, we also built a toolbox on top of the platform to help our decentralized company build a community around this, around Dynamo, which is one of the-- well, one of the most important automation tools, given our portfolio of softwares.

So first off, we did some training sessions in some of our countries, because they wanted to upskill themselves. Again, building communities. And Autodesk with Raquel spearheading did that for us. It went really well, despite the pandemic. I think everyone was quite happy with how it turned out.

And this is a great example on we used Autodesk consulting right, and where it makes someone use that capability, because we can keep our best Dynamo people and production, and we can also, while doing that, we can also educate newcomers. So that was a brilliant use of the agreement we have in Autodesk.

The next thing we did was to basically build a platform to make it as easy as possible to build that community that we speak about. So what we landed on was Teams in combination with SharePoint. This was, of course, one of many options.

But, you know, we landed on this partly because it's there. Everyone has immediate access to it. There's no third-party vendor or platform involved, et cetera. And also, because we have that level 2 competence for building new capabilities on top of this system, so yeah.

But you know, it covers a lot of ground for a community forum to ask now, we can look up documents on the [AUDIO OUT] So that provides a great platform for us.

Moving on to metrics. And also, I guess, on the more technical side. We used some internal components over in Finland. Again, level 2 capabilities. But we used them to build us a view extension in Dynamo, combined with, as you can see right here now, Power BI integration in Teams, SharePoint, that lets us track usage across all countries.

It should be noted, though, that the one you see on the screen here now is from the beta version. So just FYI. But essentially, it lets us keep track of the community, see where the competence is on the subject matter, et cetera, et cetera.

And I think without this, we wouldn't have any real possibilities to introduce KPIs on a later date, if we wanted to. Or if we want to, or decide to in the future. So this, essentially, makes everything more tangible across a decentral company.

And over to [AUDIO OUT] we credit some stuff as well, building on top of the platform like this template, as you can see, based on Autodesk's proposal. And the one thing that we can mention here is that you can see the text fields down here in the documentation side of things. We created, essentially, tags with these angular brackets, so that upon uploading this to SharePoint, we could convert all of this into metadata for simplifying, you know, automating all of this. So cool thing in my mind. Yeah.

And while it's not on the top of the priority list, we also built a central repository with scripts, so people can check that repo first if they are in dire need of something. So you can search for scripts. You can upload new ones or edit, and so on.

We also built a SharePoint UI on this. It's simple. But it really works. And it's great for having a place to look up, whilst this was not, again, not our top priority, because these things tends to be highly bespoke and adapted to the different projects, but at least we can see who's working with roads, and we can call them. So that's, again building that inward vector so to build these bonds together across [? BAs. ?] That's important.

We also built this request service, where you can actually request a script, and some of the super users will get this and describe if it's possible to do, or give some tender-ish hours on this. So yeah. So that was also included.

So closing in here now. But for future development on this level, we want to have a look, or we wish to include some of the things that we've already done for other level 1 tools. As you can see right here, that's right on Grasshopper.

Things like having a centrally upgraded packet manager, maybe, in order to make sure that we always have the latest and most up to date packages available to everyone, so they don't have to do that themselves. And maybe even develop our own packages, like we've done in Grasshopper. We've done that to some extent, but not across business areas and across countries. So maybe in the future.

All right. So with that, our time is unfortunately pretty much up. I tried to convey some ups and downs, I guess. I'd like to say thanks for watching this. It's really much appreciated. Kind of a prompt exit here, but half an hour is half an hour. I hope you found some of the stuff I've been talking about interesting. And as I've said countless times the last year or so, I sincerely hope to catch you live sometime in the not too distant future. So thanks for watching.

______
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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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Customize your advertising – permits us to offer targeted advertising to you

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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We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

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