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10 things that make Fusion 360 awesome

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Fusion 360 is turning 10. In those ten years, Fusion 360 has helped both Alex Lobos and his students rethink the way CAD works, enabling new opportunities more effective, efficient, and most importantly, more creative and innovative. Lobos will share the top ten things that make Fusion 360 great. From direct modeling for communication design to collaboration, generative design, and more, he'll dive into how Fusion 360 makes an impact with specific design examples.

Key Learnings

  • Discover the many ways that Fusion 360 enhances design innovation, mechanical development, and collaboration.
  • Learn tools for achieving design intent such as solid, freeform, and surface modeling.
  • Discover the value of additional features such as Generative Design and Rendering.
  • Explore the benefits of integrating CAD and CAM as part of concept development.

Speaker

  • Avatar for Alex Lobos
    Alex Lobos
    Alex is an industrial designer and educator focused in sustainable design, emotional attachment and CAD applications. He is Director of the School of Design at Rochester Institute of Technology, New York. At Autodesk, Alex is a Research Fellow Emeritus, Expert Elite for Fusion 360, member of Autodesk University’s Advisory Council, AU Featured Speaker, and recipient of Autodesk Design & Make Award for Community Leader and Fusion 360’s Education Award. For more info go to: https://www.rit.edu/artdesign/directory/aflfaa-alex-lobos
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      Transcript

      ALEX LOBOS: I'm Alex Lobos, I'm the director of school of design at Rochester Institute of Technology. And today, I will share with you 10 things that make Fusion 360 awesome.

      As you might know, Fusion 360 is turning 10, and throughout that time, my students and I have been very fortunate to work with the Fusion team, and with the education team at Autodesk at very different levels. And it has really transformed the way that we use CAD and how we integrate technology into our designs and workflow.

      So out of those experiences, I'm going to share with you 10 things that we've learned that we feel that make Fusion awesome. And also, that have improved the work that we create.

      So the learning objectives for this class-- first is to discover how Fusion 360 enhances innovation, mechanical development, and collaboration. Also, learning new tools that help to drive design intent, and these tools could be solid modeling, freeform modeling, surface modeling, and many more.

      We also discover a few tools-- extra tools that Fusion 360 has-- that are very powerful, such as generative design and the rendering environment. And lastly, we will explore the benefits of using both CAD and CAM as part of a creative concept development.

      So let's get going. What makes Fusion 360 awesome? The first thing that I feel that makes Fusion 360 awesome is the ability to model in real time-- direct modeling. And this mostly happens in the freeform T-splines environment.

      So we started working with Fusion 360 about two years before it was released to the market. We were very fortunate to start working with the Fusion team as they were finishing up the development of the product. And that was a great experience, being able to understand how everything came together, to provide feedback to the Fusion team, and also to have a lot of interesting stories out by the time that the product was released.

      What you're seeing here-- it's a Coca-Cola bottle-- is one of the first designs that I published, that I felt highlighted some of the benefits of Fusion. So I want to show you and walk you through the workflow for creating this bottle.

      So everything starts with bringing an image of the Coca-Cola bottle to have as a reference. And I put it in as a canvas. And once I have that, I go and create a sketch. And then from there, I draw a spline. And what that allows me to do is to follow the contour of the bottle, and really tweak some details so that I can be as accurate as I can.

      Once that spline is completed, I used revolve to turn it into a three-dimensional shape. And the cool thing with this is that depending on the number of faces that I choose, that gives me a level of resolution and more accuracy for creating the bottle.

      At that point, I start adding some geometry, which is a very powerful tool of the freeform environment, where I can just add faces without much complexity. So you're seeing there that I'm adding some faces to the center of the bottle, so that I can add some details and some bumps in the surface of the label.

      I set up this design as a four-way symmetry. What that means is that right now, as you see that I'm creating the ridges, as I move sections in one quadrant of the design, the other three quadrants are adjusted automatically. So you see, it's a fairly basic, straightforward workflow, that gives you very good results quite quickly.

      So based on that, I also want to show some student work that was created back then. These are some helmet designs that I feel really reflect the ability of creating complex shapes in a very fluid way, in a very quick way. And also, Professor Stan Rickel, one of my colleagues, he developed some workflows and exercises where students would create shapes both in Fusion and with clay and plaster in real life. And then, it was very interesting to compare how the different workflows and abilities of both tools connected.

      Next, you know, I've always said that a new design doesn't have to begin with a sketch. So traditionally with CAD, you know the story-- you have a plane, you draw a sketch, and then you project that sketch into a three-dimensional shape. So I showed you in t-splines how easy it is to create shapes and to model them without using a lot of sketches.

      A lot of people feel that that is not really possible in parametric mode, in the model environment. The stand mixer that you see here was modeled without a single sketch. And I feel that that's one powerful way of modeling that can go both from the t-splines environment into parametric environment.

      So let me show you how that works. So in this case, I'm in the model environment, and I start with a single box. You know, I define dimensions and then just pull the arrow to create some general dimensions. And then from there, I create a series of boxes that I will use to cut holes into the main object.

      As you can see, I'm doing this fairly quickly. I'm not super worried about proportions at this point. I just want to create some basic geometry.

      Once I have that basic shape, I use fillet to start rounding off corners and start giving it a little bit more definition, so that I can have a better sense of how the stand mixer is going to look like. Again, I'm not looking for proportions, I'm just looking for general curvature and details of the shape.

      Once I have that, one very powerful tool in Fusion is move. So most times, you use move to move bodies. But you can also use it to move faces.

      So in this case, you see that I'm using that to really get a sense of the proportions and where I want different components of the stand mixer to be. So this is, again, modeling in real time. One of the cool things that move has is that you can also angle faces, so this brings a whole new dimension to how you can create model sculpt shapes in Fusion.

      So you see that by now, I have a general shape of the stand mixer. I was modeling only one half, so I can mirror that half so that I have both left and right sides of the stand mixer. And then, if I use the combine tool, then I can connect these into a single shape.

      By the way, if you are interested in any of the examples that you see today in the class, and want to see them in all of their detail, all of these come from previous classes that I've done at AU. So you are able to find them on AU online.

      So next, I want to talk about advanced modeling-- going beyond fluffy clouds. There's this perception that the work that you do in these clients works very well for super-organic shapes that are not necessarily too precise, and that if you want something that has more dimensions and details to it, then it can only be done in parametric mode.

      So this is an example of a design that I created where I wanted to highlight how organic shapes created in these plans can actually have a lot of definition and follow design intent. So what you see here is a concept backpack that has a semi-rigid exoskeleton, and then you have a mesh bag liner inside where you will put things. And it has two green lids made out of silicone.

      So the idea is that if you stretch them, then that's how you close the backpack. And then if you release them, they compress and open up the pockets for the backpack. So as you can see, there's a lot of organic shapes in here. Imagine how long it will take to model something like this with a traditional sketch projection workflow.

      And let me show you how some of this was created. Again, I brought in an image to have some reference of the proportions of a backpack. And from there, using a quad bowl, I was able to create a soft box, let's say, where I was able to control how many subdivisions I wanted. And then, just adjusting some proportions to get the shape right.

      Once I had that done, what I was interested in doing was to remove some faces. And that is done just by selecting them and clicking on the Delete key. And that opened up some space in the shape. And from there, I could use a tool called bridge to connect to edges. And that's how you see that these side-angled sections were created.

      Once I had a general shape, I used thicken to give it some thickness, and turn that from a surface into a solid. And what you see that's happening now is me using the pipe tool, where I can draw a simple line or curve, and then turn that into a tube. And then, I can edit and adjust some of the shapes to change the form a little bit.

      And now, I'm using bridge again to connect some of the faces of the straps into the main body. And using bridge, again, to select some outer and inner faces that, in this case, will connect to actually remove geometry from the backpack. So you see that this is a very fluid workflow that actually works very efficiently.

      This is an example of a student work that I feel reflects this idea of creating very organic, complex shapes. But bringing them into a more precise type of workflow that involves some assembly and different parts.

      So this is a military boot that one of our students designed. His goal with this was when you are wearing military boots in snowy situations, you need those boots to be waterproof. And that really limits, if not blocks, the ventilation that your feet have. And that can create a lot of issues with overheating, over-sweating, et cetera.

      So the solution in this case was to create some ventilation. There's a pump system in the inside of the shoe, so that any time that you take a step and your heel touches the ground, you pump that system that pulls some air from the outside into the inside of the shoe. And this actually worked-- it reduced temperature, and it improved ventilation in the mock-ups that the student created.

      What I want to highlight in here is the high level of detail of creating a very organic, very fluid shape, and then being able to combine different layers, you know, like the outer sole, the midsole, the upper part of the shoe, et cetera, et cetera, in a very effective way.

      Next, I feel that the CAM unit manufacturing part of Fusion can be an essential part of the creative process, and you can combine that with the more traditional approach for a tool like Fusion, and really create very interesting results. What you're seeing here is a table lamp that I designed with a student of mine, David Villarreal.

      Our goal was to create a very elegant, very lightweight, very minimal lamp, something that almost felt like it was handcrafted. But at the same time, it would have been very hard to do with only manual tools. And at least in our case, I don't think that David or I would have been able to make this by hand out of wood.

      So the lamp is about 12, 15 inches tall, you know, about 40, 45 millimeters. It's very lightweight-- than 2 pounds. And it has this LED ring in the middle that projects light up and down.

      So the way that this lamp was modeled was a very simple workflow. We have three rings, and then we selected a few faces from the middle to the bottom, and then from the middle to the top. And that was all it took to create the side sections that you see. We had a three-way symmetry, so that we only had to perform that process once, and then the other two sections will be created automatically.

      And what I want to highlight in here is, again, how simple the process is. And something that Fusion does in a very straightforward way, almost like finding the laziest way to connect geometry, when you look at the result, it actually translates into something very elegant, very organic, very fluid. And I feel that that's a very good way of combining these tools that you have at your disposal.

      So once we have the final design created, the physical lamp with a CNC router, so you see there are some sections David milled this out with a shop bot, just carving out the sections and then connecting everything together. The cool thing about this lamp is that, once we have the prototype and Autodesk became interested in it, and asked us if they could make a few versions of the lamp out of their shop in San Francisco, Pier 9.

      So that was a very cool experience, you can imagine. I mean, and you can see here how the quality of the design, the level of detail, went way, way up once Autodesk was able to play with different materials, and inserts, and different woods. So this was a very fun project.

      Next, another thing that makes Fusion 360 awesome is collaboration. And how when you are working in teams, you need collaborative tools, and Fusion can be that.

      So what you're seeing here is the entire industrial design department at Rochester Institute of Technology. And we run a project with the Fusion team. They came in this last spring.

      So at the beginning of the semester, we gave the students a brief. And we organized the students in groups of four or five so that there was freshman, sophomore, junior, senior, and grad students in each of the teams.

      The brief was this-- at Autodesk University, and some other conferences and shows that Autodesk has, they set up what they call the factory experience. So this is a space in the expo where you have different machines from different vendors creating parts using different processes. So as you are walking through the exhibit, you collect these pieces, and then you can take them and put them together and end up with a product that you get to keep.

      So you can imagine things like a Bluetooth speaker, or maybe an air purifier. And the charge that we gave these teams at RIT was, what other types of products could be created through that process?

      So students spend four days-- it was a very short week-- coming up with concepts, working with the Autodesk teams, and also working with them creating CAD models, sketches, mockups, et cetera. And just to complete the design.

      So these projects involve a lot of collaboration and teamwork. And that's where we saw the benefits of, for example, Fusion teams, and some other capabilities that the program has for allowing collaborative work.

      Autodesk chose three designs, and those are being refined right now. And the goal is that starting next year at Autodesk University, you will get to see some student work from RIT in the factory experience.

      This is one of the designs that was selected-- this is a multi-tool that has a measuring section , and then also a laser measuring tool. And it also has digital color readers, so you can put anything that you have in front of this lens and then you will get a readout with the RGB value.

      One thing that was important for this design was to create a design that was simple to manufacture, and at the same time, that it highlighted different manufacturing processes. So that it aligned well with the factory experience.

      This is a second design that was selected-- this is also a measuring tool, but this uses a wheel as the measuring method. And again, you know, I love seeing these designs and thinking of how quickly students have to create them. Again, only four days to come up with the concept, and refining it.

      And this is the third new concept that was selected. It's an electric screwdriver with multiple bits that can be interchanged. And it also has a very, very cool appearance, I think.

      So the next thing that makes Fusion awesome is render. And this, I have to say, is one of my favorite tools in Fusion 360. I feel that rendering is a very, very powerful tool for storytelling, for communicating your design details of your designs to different audiences and stakeholders.

      The rendering environment in Fusion is very simple. It has basic tools, but when you use them correctly, you can get amazing results. And I've never felt the need of having to go to other programs, like Keyshot, or something similar-- I really feel that tweaking with the Fusion and rendering environment is enough to create new results.

      So here, you can see some examples. This is a drum set that I designed. It was modeled in a parametric way, meaning that I only modeled one drum. And then, I was able to copy it and simply change the dimensions, the depth and diameter. And then, a new drum would be the result.

      So I did that a few times-- same thing with the hardware that you see holding the cymbals.

      In terms of storytelling, you can see that there's some diagonal axes that are created because of the angle of the camera. And also, the way that Fusion works with materials and with lights, and also depth of field, you know, where you have some areas that are in focus and some areas out of focus, when you combine these together, you really create a compelling image that highlights the detail of the design that you want to highlight.

      This is another example, a bass guitar-- I love the detail of the wooden body, the grain, some of the texture, same thing with the strings and the other hardware, being able to identify a focal point.

      This is another example-- a digital camera, where I feel that having some detail in how the lens was assembled, adding some fillets, some slight separation between the different parts-- once you start rendering that, it really highlights the different components. And it gives more realistic appearance to them, to the render.

      And this is just another example where you can see how even the reflections, and some of the textures, and different elements of the design really come together to create a compelling image.

      So next, talking about some of the additional tools that Fusion has is generative design. And the way that I see generative design, and many other tools based on AI, is how they become a collaborator. You give them some very basic parameters, and they come up with solutions, shapes, that you hadn't thought about, that would be impossible for you to conceive. And that becomes a very important, very unique part of your design process.

      So in terms of generative design, the way that it works is that you define some points that you want to have connected. And then you provide certain parameters to how these points will be connected with a structure. In terms of material that could be used, weight that needs to be supported, forces that might come from different angles, and also areas where you want these structures to grow, to be created. And also areas that you want to avoid, so that there's no interference with other parts of your design.

      So this table that you see-- for the legs, I use generative design. I simply define three points, in the top part of the leg, and then one point touching the floor. That's all the geometry that I have, basically four mini cylinders. And then, from there, generative design in Fusion created many different iterations and shapes of potential legs. So I was able to go in and choose one in this case-- this one that I felt really complemented my design well.

      If you're curious, the top part of this object was done using a tool called barometer, which turns a solid shape into a Voronoi pattern mesh. This is outside of Fusion, so it's not part of the Autodesk products. But it was something that was very easy for me to model as a solid in Fusion, export as an STL, turn that solid into a Voronoi mesh, and then bring it back into Fusion and integrate it with the rest of the design.

      This is a recent student work-- this is from Anthony Parrucci. And I feel that it has a very cool story as a design, itself. I feel that it also highlights the very cool ways of using generative design, and some of these other similar tools that you can have in Fusion.

      So this project started with the idea of creating a hockey helmet for female hockey players. Most sports equipment is designed for men, and then it doesn't necessarily address needs that other users might have. So in this case, Anthony wanted to highlight that.

      As the project grew, it ended up as a system that actually uses sensors-- some in a wrist band, and some in sensors that are inside the helmet. And those measure metrics such as your hydration level, your heart rate, your breathing, and some other biometrics that help you to understand what is your level of performance.

      So this is information that will be very useful for any athlete. It might be very useful, too, for a coach, so that they, for example, understand what are some good levels or good moments for peak performance, and some moments where maybe something needs to be addressed.

      In terms of the design, you see that this helmet has a lot of components. The mainframe was designed in a traditional way, with free-form, and creating some organic shapes and some mechanical details. The top section that you see that it's open, that was created with generative design.

      So again, defining some points, and letting Fusion connect them in an interesting way. The sides were done using Voronoi mesh, in a similar fashion to what I described in the previous design. And then, for the inside padding, the orange sections of the helmet, those were done using lattice design, which allows you to create a simple shell and then to replicate that as a pattern, and remove geometry.

      So that allowed Anthony to define the right density for having enough protection in the padding of the helmet, while also having a lot of ventilation.

      So the next thing that makes Fusion awesome, I feel, is the way that you can combine t-spline modeling and parametric modeling, and how they become great partners. So what you see here is a concept that I created last year-- it's a smart speaker, similar to an Alexa or a Google Home, where you have a device that you give verbal orders to. And then, out of that, you will hear news, or music, or you will be reminded of different things.

      What I wanted to make unique about this design was to add a cultural identity to it, meaning when you look at most smart products, they have a very neutral appearance. And I thought that adding a stronger cultural component would help with making the product more usable, more attractive in the home. And also, easier to use by a wide range of users, because they felt more connected and identified with the product.

      So in this case, this smart speaker is based on Latino culture, specifically Guatemalan culture. So you see that it uses wood as the main frame. It also uses traditional fabric for the screen where the sound will come out.

      In terms of the process, something that I felt was very useful was being able to model this in freeform, you know, in the t-splines environment, to create a highly sculptural shape. And then move that to the parametric mode where I will do cut-outs to make sure that there was enough clearance for components, for speakers, some of the internals. And also, getting a right shape for the opening in the front.

      This is a process that you can do, and go back and forth, which is great, you know. I had a general shape, once I realized that maybe it needed to be tweaked to add some mechanical components, I was able to go back, tweak it, bring it back to the parametric environment, make more adjustments, and so on.

      So once the design was ready, I was able to mill this out. Some students at RIT helped me to do that. And then, assemble everything together for the final design.

      So the next thing that makes Fusion awesome is going between physical and digital. And I believe that that's something that you've seen in the rest of my presentation, as a constant, but something that I really value and love the idea of being able to go between the digital tools, and also the more traditional analog tools.

      What you're seeing here is part of a research project that I did with Autodesk, looking at how photogrammetry could be used in industrial design. So for this example, I was very interested in creating some champagne glasses that had a very interesting pattern. So I started thinking of pine cones-- you know, they have a very cool pattern.

      And I thought that instead of trying to replicate that with some modeling, manual modeling, you know, I could bring the actual geometry of the pine cone into my design. So the way that photogrammetry works is that you have your object, and then you set it up in a photo booth and a turntable, so that you can start taking pictures of the model as you rotate it.

      So you go all around from a number of different angles. So in this case, I ended up with 100, 120 images. It sounds like a lot, but it doesn't take a lot of time. It's like a three to five-minute process, taking the pictures and rotating the model.

      So I brought these to ReCap Pro, and the software starts overlapping the images. And out of those overlaps and information, it creates a digital file-- a digital model of your design. So that's what you're seeing here.

      At this point, I was able to simplify the geometry to reduce the number of faces, and also turn the faces from tri-base to quad-based. Once I had quad-based faces in the design, I was able to bring everything back to Fusion, and then to model the final details of the glass-- the base, the stem, and also, the top.

      So that's the final result-- this combination of this photogrammetry method with traditional modeling. This is something that you could do with 3D scanning, as well, you know, depending on the technologies that you have available.

      So with this process in mind, we set up a collaboration between MakerBot, Autodesk, and RIT, where we had students design products and edit them between analog and digital workflows in an iterative way.

      So we asked students to come up with wearable products that could be worn, or used around the wrist. And then, the idea was that they will create many versions, many iterations, of the design.

      The workflow was something like creating a mockup, and once you had that mockup, you used mesh capture photogrammetry, or 3D scanning, to turn it into a CAD model. So then in Fusion, you could refine it, add more details, or change some things. You will 3D print it, so that now it was back in the real world.

      And then, you could make more adjustments, scan it again, and so on. So we asked students to do a minimum of three iterations of this process. The results were great. This is a dog leash that, instead of relying on you holding the leash just with your palm, it actually distributes, you know, the forces throughout your entire hand and wrist. So this makes the leash a lot more comfortable to use, and also a lot safer, so that you don't let go of the leash by accident.

      This is another example-- this was a bracelet that you use with a screw, so then the idea is that if you're holding and screwing something, and now you need to change a bit, and you don't have a third hand that can help you, then the bracelet would allow you to exchange these drill bits.

      And then, this other concept I loved-- it was a very whimsical concept. The idea here is that this is a shopping list. So you see these charms that represent different foods, and items that use and consume in the home. So let's say that you are running out of eggs or milk, then you will take those charms and put them in a bowl. Once you were ready to go shopping, you will put on a bracelet that held magnets, so then you will grab those charms and attach them to the bracelet. So that became your shopping list.

      You could go to the grocery store. And as you were gathering the items, then you could put the charms back in their place. And eventually, bring them back to the tray, so that you could repeat the process next time that you wanted to go shopping.

      So the last thing that I want to comment about how we feel that Fusion 360 is awesome is that for us, Fusion is more than a product. You know, it's really a community. We've been very fortunate to work with Fusion on many different new ways throughout the years-- everything from being able to present at conferences, both faculty and students, to visit Autodesk offices. Also participate in design labs, which are a lot of fun.

      And students have won, by the way. Also having the Autos come to campus very often. And I was also very fortunate to be a visiting research fellow at Autodesk as part of my sabbatical.

      So my point with this is that all of these experiences, I feel, have enhanced the way that we use CAD, and have really helped us to create different ways of using them. And what I've noticed is that we are not the only ones-- the Fusion team, the education team, are always looking for collaborators and have very similar relationships with other schools and other organizations.

      So I hope that helps you to think of new ways of using Fusion in working with your students. Again, if you are interested in more details of any of the designs and workflows that you saw in this class, I encourage you to look them up in AU online, because all of these come from classes that I've taught before.

      So thanks again for your time, and have a good one.

      ______
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      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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      We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

      Your experience. Your choice.

      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.

      May we collect and use your data to tailor your experience?

      Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.