AU Class
AU Class
class - AU

Automate Your Visualization Data Preparation with VRED and ShotGrid

Share this class

Description

If you're spending hours bringing your CAD data into VRED software, always applying the same materials, computing light maps, and making it over and over again through the product design cycle, this class is for you. Come and discover how an automated workflow—using VRED and orchestrated by ShotGrid—can save you enormous amounts of time converting, preparing, and updating Alias data (or any other CAD data), and turning it automatically into a ready-to-use aggregated visualization data set, freeing up time for 3D artists to focus on high-value tasks.

Key Learnings

  • Learn how ShotGrid can help you streamline complex workflows.
  • Learn about and use the power of automation with VRED software's Python API.
  • Discover how managed data can be maximized to achieve better outcomes.
  • Discover how to accelerate your visualization workflow by combining ShotGrid and VRED.

Speaker

  • Lionel Graf
    Lionel Graf is an implementation consultant with the Automotive Consulting Team at Autodesk, Inc. He has been working for over 14 years in the rail industry as a creative design production manager. He specializes in creative design visualization and communication, with a deep knowledge of real-time technologies and processes to achieve high-end visual quality for aesthetic design communication and real-time design reviews using VRED software, ALIAS software, MAYA software, 3ds Max software, and creative field standard software for image creation.
Video Player is loading.
Current Time 0:00
Duration 25:27
Loaded: 0.65%
Stream Type LIVE
Remaining Time 25:27
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

LIONEL GRAF: Hi, my name is Lionel Graf. I am an implementation consultant at Autodesk. My role, other than consulting, is to support our customers in the adoption and the customization of our technologies. What I will be talking about today is a good example of the type of use case, we are addressing with the customers we are working with.

From customization and automation, we can improve existing workflows and multiply the value of Autodesk solutions when making them work together. Let's see what ShotGrid and VRED can do together to automate data aggregation and preparation for visualization.

Please be aware that what you will see today is an example of how Autodesk consulting can help you push the boundaries of Autodesk products and extend functionalities beyond what is available out of the box. It is something you will not see in the product, and it does not reflect any plan for future feature development.

With that said, I would like to show you how you can achieve this. So let's review first what we will be talking about today. First, the words. We will start by talking about the solution components involved in this solution and how they can help you in taking advantage of a control pipeline to save time making repetitive and tedious tasks like preparing your model for visualization.

I will be using references from the automotive design workflow, but it also applies to a much larger range of use cases and industries. In fact, if you are producing content to illustrate and support design reviews on a regular basis, it should resonate to you.

Then, the "why." In a typical Design Studio, design reviews are happening on a weekly basis, meaning all the changes that happen between two project milestones need to be aggregated together in order to be presented to decision makers, and it has to be attractive. So depending where you are in the design process and how much people are involved in the content production, this can require a lot of effort to chase the latest models and prepare them for review.

In some cases, it can even be a full-time job to track the latest updates, gather data, put it together in a presentation environment with materials, lighting, variations, options, et cetera. Automating some of those repetitive tasks can help you, saving a huge amount of time and reduce the risk of errors. And it also reduces the risk of working in a design review and figuring out that the data is present, that what you are presenting is not the latest one.

Next, the "how." First, we will look at managing data in a consistent way with ShotGrid. ShotGrid is broadly used in the media and entertainment industry to help studios managing their work tasks and streamline collaboration between teams. Using ShotGrid to track release data helps to manage file versioning and make sure that the latest data is considered. We will also leverage ShotGrid Event Daemon to catch events that will trigger the automated process.

Regarding the automation, we will use VRED. Thanks to VRED API, we will package and automate all the tasks that are usually performed manually and publish the result back to ShotGrid. And finally, we will go through the benefits you can expect from using such an automated process and highlight the potential value.

Designing a product is a team effort. During design development, the project team is growing as the project matures. Detailing the design requires people from different expertise, sometimes from various locations, and understanding how the project moves forward requires you to capture the status of a number of different work streams running in parallel.

So on the regular basis, someone needs to gather all these models and put them together to visualize the project as a whole and report back on project progress. This may happen every week and can be a very time-consuming task, as the information is scattered across the team. This can be improved with ShotGrid and some automation. ShotGrid is well known to help with production tracking, making it easier to track progress on project assets.

The status of parts development is easy to visualize and update and communicating on project performance is much more efficient while being connected to the work being done. Retrograde also allows complex automation, with which we can extend its capabilities and design customized workflows.

What if we can let ShotGrid take care of packaging up the models and prepare a ready-to-use visualization scene? Using ShotGrid toolkit integration, accessing the data related to the task to perform is straightforward as well as releasing a model through ShotGrid's publishing process. From here, an automated process can capture the newly published file and trigger data aggregation and preparation.

Here, VRED is used to pull the existing parts together in a scene template and import the new published file. It also prepares the data, places the model, applies material computes lightmaps, and renders standard images. The output images and the VRED scene can then be published back to ShotGrid and be made available for review Visualization artists can then pick up the VRED scene to further develop the look and thus focus on making 3D shots instead of spending their time on data preparation.

So how did we get there? Let's dive deeper into the solution components first. We are using two well-known Autodesk technologies in the automotive industry, Autodesk ShotGrid and VRED. If you don't know yet what ShotGrid is, it is a pipeline management tool. This means that using ShotGrid, studios can improve the management of their creative work, track project progress and deadlines through tasks and boost team collaboration.

It helps, keeping creative projects on track and on time using dashboards and project reports. ShotGrid also helps speeding up iteration and improving review and approval workflows with dedicated tools. Giving feedback and collaborating with peers is made easy through notes and notifications. Plus, ShotGrid comes with desktop integration.

Tools like Alias, VRED, Maya, Photoshop, to mention only what is commonly used in the automotive industry, are all connected with ShotGrid, meaning that users can access ShotGrid project environment directly from their daily tools, and artists can focus more on their work and what they need to achieve instead of chasing the file they need to work in a complex network drive file structure.

And finally, thanks to a highly customizable environment, it can be tailored to your specific context. In the particular context of this solution, using ShotGrid ensures to manage data in a consistent way, and this is critical when we talk about automating data preparation and rendering workflows, which requires a reliable file organization and a naming convention to take advantage of version tracking.

VRED is typically used for real-time visualization, building configurators, and making photorealistic imagery. It has powerful functionalities to help combine many different file formats and can handle a very large amount of data for accurate visualization. VRED's rendering engine is giving amazing results, both in real-time visualization and ray tracing, so it suits almost any situation. And the same data set can be used for VR experiences as well as virtual photography.

Its engine is also able to handle simulation use cases like, for example, lighting or accurate visualization of measured materials. We can also use VRED for collaboration, connecting multiple VRED thread sessions together and gather distant users in the same virtual space and in VR or not.

With VRED's streaming capability, one can collaborate, review, and connect to a VRED scene from anywhere using host devices and web browsers. And finally, what we have been leveraging for our specific topic, VRED Python API gives us the ability to customize and automate almost anything.

The third component is involved here, ShotGrid Event Daemon. The event daemon helps us in accessing the ShotGrid events stream and trigger action on the back of certain type of events when they are detected. It typically runs on a server and monitors the ShotGrid event database.

When events are found, it uses custom plugins to perform actions. In our case, we are triggering a subprocess that will gather information about the published file and start a new VRED session to perform automated tasks on the data stored in the ShotGrid project.

So how do they work together? ShotGrid is at the center of that automated process. It manages the data and guarantees to have a structured and organized database. Also, we rely on ShotGrid to have the file versions which helps us down the road to know what needs to be updated or added to the assembled scene.

ShotGrid Event Daemon is monitoring ShotGrid's event activity. As every single action in ShotGrid is generating an event, we need to filter them so we can identify particular events. In our case, we will look for new published file events, which will trigger ShotGrid Event Daemon plugin to perform actions.

When a new published file event is detected, the daemon application starts a new thread session and triggers the automation. VRED then pulls all the existing files and the newly published files to aggregate them in a single scene. During the aggregation process, VRED automatically performs preparation tasks and saves the results. The output of this automated process is published back to ShotGrid and made available for review.

Let's get a bit more technical and have a deeper dive into the solution architecture. In addition to what I just described, it is worth mentioning that we are taking advantage of ShotGrid desktop integration in this process. This ensures that the shotcrete project context is known when working in Alias, and when the context the content creator publishes his work, we are sure that the data will be stored using the rules that we have been defined in the ShotGrid Toolkit configuration.

On publish, ShotGrid toolkit will create a new entry in the ShotGrid database and copy the file in the appropriate location on this, eventually using a particular naming convention if it has been defined. The new published file event will be called batch algorithm daemon and an aggregation task will start.

The daemon application will first gather information about the new published file context using ShotGrid API to read information about the parent entity in ShotGrid. This is where we can add information using ShotGrid custom fields and use them for more complex automation. Those information are used to generate a VRED starter script.

Once everything is ready, VRED is launched together with this script, which contains the automation tasks, and the automated aggregation starts. First, it gathers all the files to merge with the newly published file and then loads everything in the template. Once all the data has been imported, the script will perform the data preparation tasks.

We can imagine to automate anything. Here, as an example, we are focused on making the model ready for review, so materials are applied from the asset library, lightmaps are computed after having unfolded the UVs, and standard images are rendered for quick visualization. But we can think about more automation if there is some data to leverage. Let's imagine we are using CAD data, for example, which can contain meta information.

We could use this for scene organization, or if the source information contains pivot axis, we could use it to automatically apply animation and even generate what is necessary in VRED to interact with the parts and play the animation. Maybe we would like to apply a scene overlay and with kind of a simplified interface for manager to Review. The possibilities are endless.

Finally, once the visualization scene is ready, VRED will save it in the right place and publish it to ShotGrid. For the purpose of this class, let's simplify ShotGrid project architecture. The main idea is to have an input area where the source data gets published and an assembly entity which will host the result data.

We can also consider having a template environment to make sure that the scene context is consistent and that we compare to review files-- to review output files presented in the same digital environment. We will have here just one task per site where everything will be published, which will make it easier to retrieve the data to aggregate as it will end up in the same folder on disk.

So everyone working on the car exterior will just need to publish their work to the exterior asset on the wire models task. If we want to access the output preview data, we will need to just to open the latest data published on the VRED scene task of the review asset.

Obviously, in a real world scenario, the project structure may be a lot more complex. And we will need to aggregate data coming from various assets and maybe of different types. This is just a matter of how we configure the event daemon plugin, which will gather the information about the assets to be passed to VRED.

ShotGrid Event Daemon uses, by default, two main components. First, the daemon service, which role is to monitor and process the ShotGrid event table. It filters the event in the event database and executes the ShotGrid plugin when a defined event is called. The ShotGrid plugin on the other side is a Python script that will perform the tasks If the event is-- if the right event type is found you can see here an example of a ShotGrid event.

What we will be tracking is the event type. This type of event happens when a new file is published to ShotGrid. The event contains also information about the file that has been published. We will filter the event database on this particular file type, which means that every time we catch a shotgun publish file change event, we will check if it concerns our project, and if it is an Alias file. Then, we can trigger the automation.

Here is the automation in detail. The event daemon application when started is monitoring the ShotGrid event table. It also starts a separate process, which is waiting to see files to be processed. We will call this the processing application. When a new event is found, the shotgun event plugin will pull the new file information we saw earlier and append a queue of files to be processed.

The so-called processing application will take, sequentially, the files to be processed from the queue and build a VRED script populated with the file information. It will also take a bunch of other parameters we can define in the event daemon application, like the geometry tessellation parameters or the size of renders to be computed. It then starts to spread together with the script, which will handle the preparation tasks.

About the preparation, here are the steps the automation is going through. First, the new file is converted into a VRED file, it will help later in the loading process. In fact, we are using VRED's smart reference feature, which allows us to quickly load and replace component of the scene. For example, each part that has been published to ShotGrid from Alias is converted to a VRED file, and when we need to rebuild the assembly, we only need to pull the latest version of each part, which is much quicker with VRED components.

It also gives us the opportunity to manipulate the reference version. Let's say we wanted to see the last week status of a part. Well, we could build a small UI, which will let us replace the part with another version for example.

Once the new file is converted the scene template is loaded. This template can contain the default environment but also have some standard behavior, like visualization mode, for example, different lighting conditions, or even pre-programmed interactions, like a turntable for example. VRED will then gather all the existing parts and take the last version of each component to merge and load them into the scene.

At this stage, we have assembled all the different components parts or zone of the digital mockup. We can now make it look good. The script is then performing data preparation tasks. It cleans up the scene, getting rid, for example, of remaining curves, or maybe we want to filter some data or small parts, screws, et cetera.

Then, we want to compute lightmaps. To do so we need first to prepare lightmap UVs. So we integrated UV unfolding as part of the script. The last step is to render standard views. When the whole process is done, we have a ready-to-consume, real-time scene, plus some images always rendered from the same viewpoint, which can be used for quick review for example.

The VRED scene help designers and decision makers to make a complete view-- to have a complete view of the status of the project, and it also is a good starting point for visualization artists to start their work and Polish the scene for presentation.

So what can you expect from such an automated process? Well, the first obvious benefits is that you can rely on a consistent and controlled outcome. Having all the models managed in ShotGrid ensures to have a reliable and organized database which can be used with a standardized and automated data preparation process.

Also, being able to rely on a predictable output is allowing you to track the evolution of the work. The output and the associated images will always look the same. It is easy then to compare two outputs at different points in time in the design process or even see the evolution of the model being built.

From a value standpoint, you can save a huge amount of time. It is not necessary anymore to spend time chasing the latest update of the different components that need to be merged for the presentation. And building the assembly is not the most interesting task to do. It is time consuming to import all the files, to check if there has been a change, if this is an update, to reapply the material recompute lightmaps, et cetera.

Think about the time spent only on gathering and aggregating data. It can take a day or more, and it needs to be done on a regular basis for each review. Considering this is done every week, it can represent one third of someone's time over the year that can be saved or spent on more valuable tasks.

So with such a solution, you can save a lot of time reducing effort in data preparation and repetitive tasks. You can also rely on a predictable output, which will always show the latest data, and ultimately, shorten the design cycles, saving time in finding the right data or even detect earlier wrong design directions.

This concludes this presentation. Thank you very much for having watched this video.

______
icon-svg-close-thick

Cookie preferences

Your privacy is important to us and so is an optimal experience. To help us customize information and build applications, we collect data about your use of this site.

May we collect and use your data?

Learn more about the Third Party Services we use and our Privacy Statement.

Strictly necessary – required for our site to work and to provide services to you

These cookies allow us to record your preferences or login information, respond to your requests or fulfill items in your shopping cart.

Improve your experience – allows us to show you what is relevant to you

These cookies enable us to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we use to deliver information and experiences tailored to you. If you do not allow these cookies, some or all of these services may not be available for you.

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

These cookies collect data about you based on your activities and interests in order to show you relevant ads and to track effectiveness. By collecting this data, the ads you see will be more tailored to your interests. If you do not allow these cookies, you will experience less targeted advertising.

icon-svg-close-thick

THIRD PARTY SERVICES

Learn more about the Third-Party Services we use in each category, and how we use the data we collect from you online.

icon-svg-hide-thick

icon-svg-show-thick

Strictly necessary – required for our site to work and to provide services to you

Qualtrics
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

icon-svg-hide-thick

icon-svg-show-thick

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

icon-svg-hide-thick

icon-svg-show-thick

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

Are you sure you want a less customized experience?

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.