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Data Exchange and Informed Design: A Game Changer for PD&M and AEC

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Description

Autodesk Informed Design and Data Exchange are the platform technologies we use to connect plant design and construction, with the help of Autodesk Construction Cloud. It's never been so easy to share data and its configurations. Data Exchange makes it very easy to collaborate and share information in integrated factory modeling (IFM) within Autodesk software systems, but also with applications such as Tekla or SolidWorks. Autodesk Construction Cloud helps us store all information centrally and make it available to everyone involved in the project. Informed Design offers the possibility to provide configurations from Inventor software for various types of building equipment in Revit software as configurable families. This ensures that only predefined variants are installed and prevents cost-intensive special solutions. Last year, we talked about the possibilities of the beta versions. Now we would like to take a closer look at the solutions and share experiences from customer projects with you. It's going to be good!

Key Learnings

  • Learn how to use the Autodesk platform and Autodesk Construction Cloud for smooth data exchange.
  • Learn about the integration of data from other trades.
  • Learn about provision of configurable products for the building.

Speakers

  • Avatar for Daniel Lutz
    Daniel Lutz
    Daniel Lutz is at home in southern Germany, where he graduated in mechanical engineering in 1992. With experience in industry, he moved to the CAD industry over 20 years ago to an Autodesk partner based in Stuttgart. Since 2011, he has been a solution engineer at Autodesk, where he has gained extensive experience in layout and factory planning, mechanical design including data management. In the context of the integrated factory model, the knowledge in the BIM processes and the integration of civil engineering is complementary.
  • Avatar for Jochen Tanger
    Jochen Tanger
    Jochen Tanger is based in Munich, Germany, and has been working as a technical sales specialist at Autodesk, Inc., for more than 20 years. Since Autodesk decided to market Revit in Central Europe in 2004, he has been presenting, selling, training for it to resellers and customers. Today he is mainly responsible for the whole Building Information Modeling (BIM) processes with all of its products and solutions. Jochen holds a diplom-ingenieur degree in civil engineering from the Leuphana University of Lüneburg.
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Transcript

DANIEL LUTZ: Hello, and thank you for watching the AU class Data Exchange and Informed Design-- A Game Changer for Product Design and Manufacturing and AEC.

Before we go in the next step, I want show you the safe harbor statement. It's important. The reason is we talk about better software and future roadmap. And it's not sure if all correct or it's coming like we discussed here in this session.

So we start with a little agenda. We start with the introduction. And in the first step, we take a look into the Data Exchange capabilities, into the connectors, the workflows, and the product roadmap. And in the second step, we go into the deep dive of the Informed Design software, the new BIM definition, and the modeling.

So let's start the introduction about us. My name is Daniel Lutz. I'm a senior solution engineer in Germany. I'm based in the south of Germany. And I'm over 13 years in Autodesk and responsible for the integrated factory modeling and the factory design utilities.

JOCHEN TANGER: Yes. And my name is Jochen, Jochen Tanger. I'm also a senior solution engineer, but as you can see, Daniel is on the D&M field. I'm on the AEC field, so I'm more the engineer. I'm a civil engineer from my background. And this is how we split. So we have one person who's more the mechanical engineer and one more the building engineer, civil engineer.

And yeah, I also have a long background at Autodesk. So I started here over 20 years ago. And I was responsible technically wise when we marketed Revit into the market here in the German market, Germany, Austria, and Switzerland. And since then I have been working there. And it grew a lot from just being one product to building information modeling. And I'm responsible now for all those different products. And yes, I guess that's all from my side.

DANIEL LUTZ: Then let's jump into a technical introduction. We have on the market a couple of goals and challenges. We have a lot of new product launches, demand changes. We must to have cost reductions, quality initiatives, and changes in the procurement.

And for that, we need a 3D model of all our layouts, include the MEP stuff, and the building. And with that, we have a complete 3D model from our factory. So the first topic is the Data Exchange.

JOCHEN TANGER: So the first topic is Data Exchange. And it is kind of a-- let's say it's a new product. It's a new platform. No, it's more like a new product that we have, and it's called Autodesk Data Exchange.

And our idea about that is that we want to avoid file sharing. This is always painful because you never know which file format do you want to share. Is it IFC? Is it DWG? Is it an Inventor format? Is it a STEP format? Is it-- whatever. So it really depends on what the other side reads and can read.

And how do you need to reduce the files that they can read it? How big is that file size? So it usually can be like it is 500 MB, maybe one gigabyte. And you don't want that, and you don't want all the information.

So with Data Exchange, you can share just your design data across all different applications. And with all, I just mean it is not only Autodesk products. Oh, just stay a little bit on the page here.

I don't mean just Autodesk products, I mean all different products that are on the market. So we are-- as you can see, maybe there's Grasshopper. We also have different, like Rhino and so on. That's what we really want to do.

And what we want to exchange is just the data and only the data that you need and only the information that you need and not the whole file size. And with that, you really reduce the data exchange to a minimum of size, also to a minimum of effort. And that's really what we want to achieve. And yeah, please go to that page that you just opened.

And here you can see all the data exchanges that we have released already. But release means we are still in a beta, but those you can test already. And you can see there is the typically on the upper left side, it's the typical Autodesk products, the Autodesk connectors like Revit, like Inventor, AutoCAD, Civil 3D, and so on.

Then in the middle, let's say, it is Rhino, Tekla, SolidWorks, so all the other products where we want to exchange more even in the future. And those are available already. But you can see on the lower hand, there is connector ideas, and you can even vote for those. So if you have a product you would like to exchange data with, then just vote for it or come up with a new idea.

Then on the upper right hand, we have the feature ideas. That's kind of interesting because it's not only about the products that we want to exchange data, it's also about new possibilities, so like better exchange coordinate systems, exchange not just geometry, but native elements, and create native elements in the other product, like properties, material, and so on. So there's a lot of things that we even can develop or we want to develop in the future.

And the lower right was just in process. Those are the ones we are just-- we are working on at the moment. So you might see them, yeah, I don't know, maybe short-term or mid-term. It really depends on the one that you have.

DANIEL LUTZ: So we see here one of the examples. In this case, we share the data or exchange the data between Revit and Inventor. And we see here that direct plugin in Inventor. And see on the browser, the Revit model is coming from the cloud, from the ACC directly from Revit. So then let's jump in our first video.

JOCHEN TANGER: Yes, and we are in Revit at the moment. And what is interesting for Daniel is just the installation space for the machines. So he doesn't really need to have all walls and so on. He just needs that installation space.

So you click on Data Exchange, and here you create the first data exchange with just this view with all those installation spaces. And then it is being created and on Docs. Also in the Construction Cloud, you can just look at my export that I created. So this is the installation space. You see there's even the different spaces that I have. And those are being exported or imported now into Inventor.

DANIEL LUTZ: Yeah. And now we are in Inventor, and I load directly with the Data Exchange. Here's the model from Jochen. I have also here the preview. And if I double-check all the data, I load this model directly in Inventor.

And the beauty is the model is automatically on the origin point. The orientation of the model is correct. And in this case, I hide production environment B and C and include my factory layout in the production A environment workspace and upload back this model to ACC for Jochen. I select here the same folder in this case and create also a data exchange.

And then you see here again the preview, the figure, in Autodesk Docs. We have the complete environment. And we could select here in the structure of this file all included machines, conveyors, and so on.

And now let's jump again back to Revit.

JOCHEN TANGER: Back to Revit. Now I need those because I want to see all those machines in my Revit model. But like I said, I don't want to have a huge inventory file loaded somehow via, I don't know, IFC via Revit via DWG. I just want it very small and very clean.

And with Data Exchange, you just see it's at the same position now. I don't need to care about the coordinates or anything. So all the material, all the information, is here. And with that, I now have the chance to go into MEP, for example, to have all the piping and the ventilation, and so on. And I can adjust them and I can connect them to the machines and to the systems, existing systems of the model.

And that's really what it's for. And as you can see, you don't need to see where is the data located. You just have one folder, one sharing folder. And in there you can really exchange the data with everybody. And this was just an example between Inventor and Revit.

DANIEL LUTZ: Yeah. And without Revit export, without STEP or IFC export. So it's really easy going based on the ACC.

JOCHEN TANGER: Yes. And this is another example because we said it is not only about Autodesk products itself. So here we are, for example, in Tekla. And in Tekla, you see we have just created-- it's kind of a plant, a huge plant facility. And I want to exchange the pipes here to Revit.

So it's just selecting those elements. So you see there's the Data Exchange functionality or tool in here as well. So you can load that as an application, as a third-party application. And then again, I just go to that Construction Cloud, project I and send those pipes again as Data Exchange, not to Revit itself, but to the Construction Cloud. And from there, everybody can read it.

And so you can use the jump marks if you like to so that I jump a little bit further in the video. So we just have a look, and this is fine now. So now I load exactly those pipes into Revit. And I do get all those pipes in here. I do get information. You see the properties of those pipes. So there's some comments, like pipe in this case. And it will change in a little while.

And then I just go further on. And a lot of times some things are being created in Tekla, like the steel construction. In this case, I created the steel construction in Revit. And you can see here, now I do another exchange because I want to send this steel construction, this rack, back to Tekla.

So again, I selected elements. In this case, I didn't just select them. I chose the whole model, but I just selected the categories I wanted to export. So that was kind of easy. And also we will have a look at the properties afterwards.

So now I want to have this rack here in Tekla. So again, you always have to preview and select which elements I would like to import, or just select all of those. And now the rack is in here.

And so with that, now I can even work further on my pipes. But here you can see in the properties we have a lot of information that is coming out of Revit. And now I can see I want to extend those pipes to the real length. So they should be longer than the rack in this case. And I give some more information to it. So you can see it was pipe before. Now it's pipe_1.

And after I've changed or I've edited that, then I just go ahead and save it again. So I save it again as Data Exchange. I create another version out of it. So up to now, we just had the version one. And you can see now it's version two that I will view on the web again and that I will use in Revit as well.

So in here, I just do the update and load the latest element. And you can see now it's version two, and those pipes have the real length that I just adjusted. And you can see all those comments that I created, like pipe one or modified type. Everything has been updated.

So that's really kind of vice versa. So you really go ahead, change everything. Now I change the rack again so that it really fits to the pipes. And then it goes back to Tekla again. So it's always the same idea. It's just a different versioning that you have.

And if you jump a little bit more to the front ahead in the video, Daniel. So here I still have the properties again that I changed. And so the next-- oh, you need to still need to run the video. Just go to Play. Yes.

And then last but not least, after I have changed all that, I want to go in another product, for example, in AutoCAD. And you can see we also have Data Exchange in AutoCAD. And I just do exactly the same. I just go to the project. I go to the pipe rack in this case, so it's the first step. I want to have the rack as well in AutoCAD so we have not only 2D information. You know about that, that there's possibilities of 3D in AutoCAD, of course. So I import all those elements in AutoCAD.

And the second step is I don't only take the rack that is coming from Revit I also import the pipes that I have created in Tekla. So all the different software solutions and all the objects of those solutions come together in a final version, in this case in AutoCAD.

And that's just to show you it doesn't really matter in which software you are. You can just import/export with Data Exchange quite easily. And like we said, you never need to care about any file format. You never need to think about, how do I need to reduce the objects, the file size, so that anybody else can use it without having a lot of trouble? Great. That was Tekla-- Tekla, Revit, and AutoCAD.

DANIEL LUTZ: So that was the first game changer. And then let's jump to the next game changer, the Informed Design. So with that, it's a workflow between Inventor and Revit. In Inventor we create an assembly or a part based or driven with Informed Design to create all applications and all products.

Then we share the data based on Autodesk Docs with the architect designer in Revit. This designer using these models and publish back again the used models in ACC. And the product engineer get this, then, the whole bill of materials and models.

Here a little bit more detailed. The product engineer published the model to ACC. The designer in Revit discovered the model, placed the model, and published back the model with the building in ACC, and back to the product engineer. The product engineer consumed data and get all models and all information for production of the products.

So at first you have here the software available in the Autodesk account. You could download the software for free. And we have here two plugins, one for Inventor, one for Revit and for the version 2024 and the version 2025. The BIM definition is the new plugin. It's included. And it's not a separate download.

So let's take a look here. In example, we have here the staircase. I have different model states in Inventor, a simplified and a detailed model state. I have here a logic form for all the variants of this stair. Now I change here the number of steps, for example

And now I jump into the BIM definition. And in BIM definition, I define at first the behavior time of the stair-- behavior type of the stair in Revit. And in this case, I select the floor-based and select the insert point. And that helps Jochen later to place this stair in the Revit model.

In the next step, we place a UCS. But that's only important if the model not in the right set direction. In this case, it's correct and doesn't need this option or this UCS. And the place of the UCS is not relevant. It defines only the set direction of the model.

And then next we define here the Revit categories. We see here all Revit categories are available in Inventor in BIM definition. For the family type name, I'm using Inventor parameter. And that's defined a unique description of the stair for the family in Revit.

In the next step, I select the OMNI class. And this description of the stair, that's also a parameter from Inventor. And in the last step, we export or publish a couple of dimensions of the stair. And all these parameters are available in Revit later. And we see here in the IFC parameters, we have defined also the IFC parameters.

Now we could publish the product and define the root folder, the Inventor project file, all available drawings. And now we select all parameters for the form in Revit.

What we see here that our parameters from Inventor with an underline. And in this case, I redefine the names of the parameters and update the form. And now we see here the form looks better, and it's much more clearer.

In the next step in the rules we have here [INAUDIBLE] blocking. It's very easy to configure a couple of things. In this case, I define here the dimension, the whole dimension of the stair.

And it's like LEGO. I could create here with mathematics, with numbers here, all dimensions. I click this all together and speed up a little bit. It's really easy to define here a parameter or another value.

Now it's finished. And I update the form again. And we see here the stair height, but it's calculated of all other parameters of the models.

And in the last step I define the output files, the bill of material, the neutral files like step or set, and the detailed model and the simplified model. And then we could publish the model into the ACC in a selected folder. Folder Stairs, Publish. And the part of the Inventor of the engineer is ready. And now we could jump to Revit.

JOCHEN TANGER: Exactly. We hand over to me. I do the exactly same. So I do have the installation here. And I go to Informed Design, and I just go to Product and insert that product. Again you see I'm selecting the same account, ACC account. I'm in the same folder. And now I can select the size that I want to have, the stair width, and so on and generate those ideas.

And so it takes a little bit of a while to generate all those different parameters or those different stair types. And then you can see I just insert it. And in this case, I used the floor plan to insert it. You can see it's kind of perfectly fitting.

You could see the insertion point before. But you see, I just missed the real height, so it's a bit too tall. So I just replace that stairs. So I go back to Replace. I select another one of those generated options that I wanted to have.

So now we have number-- instead of 10, we have nine steps per each run. And it's just been replaced, and you can see. Now this is kind of perfect. That's really what I want. And you can really think about how you insert it.

And one more important point. So you have all the different parameters here, but just be aware, don't change those parameters in Revit now because yeah, it's not possible, and you don't want to change those parameters. That's why we have inventory.

And now we go one step further. So we want to generate the output of my selected stairs that I have. And you can see these are the parameters that I have created. And now I hand over to you. So with the different outputs that you want to create, Daniel, like a DWG drawing and so on and PDF, bill of materials.

DANIEL LUTZ: Now here in this step, we could publish all necessary data for the engineer for create this stair. And let me go here to the output folder.

All these data are available in ACC. We open this folder. And see here all relevant data for the engineer. It's here. The PDF of the drawing. Or, very important, the bill of material for the production. It's all finished. You need not again engineering guide. Or we have here a step file from the stair.

And that's the whole burger workaround or the whole process. We started Inventor, published a model. Jochen using this model and upload this model with the stair. And I as the engineer can use all this data and all this bill of material for production of this stair.

So then let's go a little bit into the details of the application. We see here that it's installing BIM definition in Inventor. We have the BIM definition with the family definition and the BIM properties. And the BIM definition is for Revit. And we here we define here the BIM properties also with all data for Revit and all properties for Revit.

So the family definition is also active in the primary model state. That's important. You must activate the primary model state for defined UCS, the insert point and the placement plane. And we see before the insert point and the placement plan helps Jochen to place the stair on the right level or on the right door.

In the next step, we have here the Revit family categories now. We learn in last days are not all categories available at the moment. For example, the sanitary categories are missing. But I think we get all categories in the next versions of Informed Design.

We see here on the green part all these behavioral types we using floor-based or face-based, for example. Or maybe if we create a window or a door, we need the wall-based definition.

And next we create the family type name and select the OMNI class. The OMNI class table is included, or we have a link to this table and select the right OMNI class. For the family type, I define a property in Inventor based with iLogic. And it's associative. If you change the height, the width, or the number of stairs, this property is each time activated, and you have the right definitions.

In the next step, we have here the IFC parameters. In the PowerPoint, we have the link to the buildingSMART, and you could select the right IFC category. And next step is the family type, again with all dimensions based on the Inventor parameters and based on the custom parameters. You could define each parameter, each necessary data, and publish this data with the BIM property panel.

And then the last step, we have here the MEP connectors. That's also new in the BIM definition. And we could define, in this case, the connectors for the hot and the cold water on this water mixer.

So then before we upload, we have here a couple of tips. If you upload the data, the factory scope in Inventor should be active. All model states should be active.

In the next step, all iLogic rule should have the parameters or the rule for all members for all model states. That's very important. If you change any model states, each other model state should be updated.

And at the end, we define here all-- or we define here the form. We select all necessary parameters for the form and define the output files later for the publishing for the engineer.

And then we could publish the data or the product into the right folder in the ACC. And now I'll get over to Jochen again.

JOCHEN TANGER: Yes. So I just wanted to mention because you talked about it. Is it wall-based, is it ceiling-based, or whatever? And I just wanted to mention that if you are a Revit user, of course you know about that. But if you're not a Revit expert, you might not know that we have different families or family templates in Revit.

And so you can define a family that is, let's say, a floor-based right away or wall-based right away. So whenever you place-- whenever you insert that family and then you only can select a wall to insert it-- for example, if it's wall-based, like a door. So you mentioned the door before, I guess.

And with that, you cannot place a door into a floor or into a ceiling. You just can place it into the wall. And if you have a negative element, a void, then there will be also a hole, the opening being cut through that wall so that it can be placed in there.

So you can change the type of templates for the families. And that's really important. You can see we have ceiling-based. You have floor-based. You have roof-based for photovoltaic, for example. You have wall-based.

And then you can see some of those-- let's call them lamps or whatever it is. It can be just face-based. And in a lot of cases, this can make sense. So whatever face you pick, it will be placed and directed exactly to that face.

So you can see on the wall itself, on the name wall, you cannot even read it because that is one of those faces. And you can just place that element on any of those faces to place it.

So it really depends, and that makes it easier to insert, for example, the stairs that we have seen. In that case, we just used a general placing. But the insertion point was exactly at the level of the door and the latest step, the upper step, so that if you go to the level one, then I could just place it in Revit being in the middle of the door.

And the height was not correct of the stairs, but at least the top position was perfectly aligned. And so we just needed to change the height. And the lower part went up because the insertion point was still the same.

And this is what I would like to mention as well because we do have-- if we use the Data Exchange that we have seen before, you do have some generic families afterwards, but you cannot really edit those families. It's not families that you have in your Revit project.

In this case-- wow, we are fast. In this case, you have external families. And I marked that in green on the left. In this case, Daniel chose special equipment, specialty equipment. And so in Revit, you can see that right away.

The upper left green mark shows that you have different, let's say, types in Revit. It's not really types, it's different families. So you cannot create one family with different types. We know that in Revit, so that you just load one family in your model, and then you just have with other parameters, you just switch between them.

In this case, it is different families that you load. And you can switch between those. Of course, it will be a bit bigger in size. But as we learned before, the size of those families is really very, very small.

So you can change them. So if you load different options, for example, you can always change between those different options without going back to Informed Design. But that's what we learned. You can replace that with a new version, for example. Or if there's none of those versions in Revit, you can just reload or load some extra versions.

And I mentioned that in the video in the live part. If you go to the properties, you can see there is a lot of properties that Daniel has defined before that are being translated or transferred to Revit itself. And you can see the numbers of steps, for example, and we chose nine for the different runs.

And, of course, you could change the number here. We don't want that. But as you can see, it's not grayed out, but nothing will be changed. So this is on us that we still need to gray this out so you cannot change the stairs themselves if you just change one of those numbers. It's mainly for reporting reasons. So if you create a schedule afterwards that you get all the information of those stairs in your schedule. Some tips and tricks that we wanted to give to you.

Last but not least, after we had a lot of PowerPoints, one more live example. So another example, you can see there is a bathroom in here. And I zoom in a little bit, and you can see there's one water tap or water faucet that has been installed. The other one hasn't been installed.

You can see that in the back, we do have all the pipes already. And you can see this faucet is connected already. And in this case on the left, it is it's not connected, and we don't have that.

So we need to insert it, and it's not a regular family. I just go exactly to the same folder, to the same project that we had before. And now I don't use the stairs. I use the faucet that I insert here.

Again, I can open it. There's different types that I can create. And you can see there's different versions, like the flush version, like the bath version, and so on. I can always again choose the representation, if it's fine or if it's medium. And then I insert it.

And like I said, if it's face-based, for example, I can place it on any face that I have. So I can just place it on the top of the sink. I just rotate it, I move it to the right position. Just go to the midpoint here of the opening.

And now I just need my MEP elements, my MEP functionalities, to connect this faucet with the pipes with flex pipe. So just do it for warm water and for cold water. This is warm water now. I just select it, connect it, and everything is fine.

So it is-- and as you can see, if I move it, of course, those flex pipes go with it. And it is really connected. And the thing is that in a lot of cases, you just think, OK, it was just a kind of a dumb element that I imported from Inventor because it's not a real Revit family. But that's what we wanted to show.

And Daniel showed it before, that you have the connections that you can make, can create in Inventor. That's why I could just click on that faucet and go to the plus elements and connect them to the existing pipe system.

And that's really great. And this is just one of the functionalities that we lately got. And just imagine what else would be possible. So the more intelligent the families get in Inventor, the better chances and the more intelligence we can use in Revit as well.

And yeah, so that's kind of a little bit the future as well. So we are working on Data Exchange. We are working on Informed Design a lot. So there will be a lot of changes. And yeah, I think since the last year, a lot has happened, and it's a lot better. And yeah, with that, I give back to you, Daniel.

DANIEL LUTZ: So then one of our last slide, we see here the BIM content from Inventor in the release 2025. I think that most of you know this panel. We have here the old MEP connectors and with the BIM definition in Informed Design.

And at the bottom, we see the new functionalities with the insert point, the placement, and new connectors. And maybe we get this panel in 2026 in Inventor, updated BIM content, but it's different to the BIM definition in Informed Design.

Now it's a little bit tricky, but the guys over the product management from Informed Design going forward can create new connectors, and, let me say, better connectors for better handling of the Revit models in all Revit families in Revit.

And for that, we are at the end. And many thanks for looking this class. And hopefully you have good new ideas with the new software tools.

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We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse 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. Akamai mPulse Privacy Policy
Digital River
We use Digital River 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. Digital River Privacy Policy
Dynatrace
We use Dynatrace 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. Dynatrace Privacy Policy
Khoros
We use Khoros 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. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly 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. Launch Darkly Privacy Policy
New Relic
We use New Relic 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. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent 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. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia 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. Wistia Privacy Policy
Tealium
We use Tealium 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. Tealium Privacy Policy
Upsellit
We use Upsellit 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. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates 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. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory 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. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) 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. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats 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. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
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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Improve your experience – allows us to show you what is relevant to you

Google Optimize
We use Google Optimize 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. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal 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 OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely 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. Optimizely Privacy Policy
Amplitude
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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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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