AU Class
AU Class
class - AU

Turn Out-Dated into Power-Automated: Revit Data Exchanges into Microsoft Power BI

共享此课程
在视频、演示文稿幻灯片和讲义中搜索关键字:

说明

The ability to share relevant data with multiple stakeholders across different applications remains one of the most significant business challenges of our industry. Data Exchanges transfer granular information about models hosted in Autodesk Construction Cloud in a neutral format that allows you to build automated workflows across apps and services. You’ll learn how to create Data Exchanges from Revit software in Autodesk Docs software, and build data flows to Microsoft Power BI using the new bridge to Power Automate. These data flows—traditionally made with sophisticated API investments—are now more accessible to nonprogrammer users.

主要学习内容

  • Learn how to share information using Data Exchanges in Revit.
  • Learn about how to set up prebuild connectors between Data Exchanges and Power Automate.
  • Learn how to create, schedule, and monitor business process actions and flow activity in Power Automate.
  • Learn about automating the flow of model-data dashboards in Power BI.

讲师

  • Cesar Escalante 的头像
    Cesar Escalante
    Cesar is a seasoned architecture industry veteran with over 20 years of design technology leadership at renowned firms like Gensler, HOK, and Flad Architects. He founded the San Francisco Computational Design Institute and is an active member of the AIA, shaping the future of architecture through education, research, and industry collaboration. As Autodesk’s Innovation Evangelist for Architecture, Cesar is passionate about driving the adoption of new technologies. A sought-after speaker, he shares his expertise globally. Beyond his professional life, Cesar is an avid outdoorsman and dedicated community leader, serving as a Board Director of the AIA San Francisco and a member of the National AIA Technology in Architectural Practice Knowledge Committee.
  • Philippe Videau 的头像
    Philippe Videau
    I'm a Product Manager with Autodesk Platform Services (APS), passionate about the incredible spaces, products, and experiences our customers create and make using digital tools. Our platform team figures out how to move bits in the cloud and desktop so that our customers can move atoms in the physical world. We develop cloud services that integrate data and teams across a variety of design, engineering, construction, and manufacturing software tools to make curating and sharing data much easier.
Video Player is loading.
Current Time 0:00
Duration 43:04
Loaded: 0.38%
Stream Type LIVE
Remaining Time 43:04
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

PHILIPPE VIDEAU: Hello, everyone, and welcome to our presentation, Turn Outdated into Power Automated. My name is Felipe Videau. I'm a senior product manager on cloud data at Autodesk. I'm here with Cesar Escalante, our technical marketing manager as well. We're excited to have you today. And let's just jump right into our class.

All right, just a quick summary. Little overview about ourselves. Like I mentioned, I'm a senior product manager. I work on cloud data bringing together our cloud and desktop-based tools. Cesar got a great background in BIM management and architecture. And he works on our technical marketing team for our architecture industry.

Just a quick overview of the safe harbor statement. Probably many of you've read through this or a version of this before. I'm not going to read through the whole thing. Pause the video if you want, but the takeaway here is we are going to be making forward-looking statements in these presentations. Just don't make any purchasing decisions solely on those statements. That's the main takeaway from here. But do read this statement before moving on.

So let's just jump right in. Here's a quick agenda of what our class will be covering. We're going to talk about data exchanges. I'll give a brief intro on what those are. Why Autodesk is investing in this product. And then I'll hand it off to Cesar who's going to talk about data exchanges and our Power Automate integration. So that'll be the bulk of this class. And then I'll come back and talk a little bit about what's coming next on our roadmap with data exchanges.

All right, so we're going to jump right in. Before getting to data exchanges, I want to talk a little bit about some of the work here you're going to see here today and why Autodesk is investing in it. Many of you have probably recognized some of these trends over the past several years, which have really sped up quite a bit during the pandemic or the past two or three years.

Some of you are probably quite deep in the weeds with automation, collaboration amongst your teams. Or you're using tools from different industries looking at that kind of convergence trend right there. We've seen these, like l mentioned, really increase over the past couple of years. And data exchanges are one of the products we're using to help address some of these trends that we're seeing out in the market.

What we're hearing from customers is top of mind is automation. I need to automate different tasks to increase productivity, improve efficiency across non-differentiating tasks that my team is doing. Need to automate for better resource management or just faster time to market.

We're hearing just from to paraphrase one of our customers manually synchronizing BIM data with ERP systems. They're having to manually open files and extract that information, which takes a lot of their employee's time, leads to human errors. So those are just some of the things we're hearing from customers. They want to see more automation. They want to automate more of their business.

Now, we're also seeing industries converge. We're seeing industries-- AEC industry, the architecture engineering construction industry, the design and manufacturing industries, and then media and entertainment industries. A lot of the tools that customers that you might be using today, a lot of those tools are being blended.

For instance, we're seeing more and more customers spend time and money on workflows that might be converging the AEC and media and entertainment industries such as the use of augmented reality, high fidelity rendering, virtual reality for review and coordination workflows, or sales to customers. So we're seeing this happen across the three industries that Autodesk serves.

And then lastly, there's a burning need, as we've seen, especially over the pandemic, to really improve our collaboration tools and simplify the touchpoints of collaboration across disciplines and organizations. Many customers today, they're creating bespoke and data sharing tools that in many cases aren't differentiating for their business. They might be expensive to spin up and maintain as well.

So the movement of data between applications and tools is really becoming a critical foundation and really table stakes for effective collaboration. And this is really what we're focused on with data exchanges. One of the pieces that's critical to solving our customers' collaboration challenges is making sure that the right data ends up in the hands of the right folks and in the tools they're comfortable using.

So in the next few slides, I'm going to dig into data exchanges, how you can start to use them today if you're an architect engineer, fabricator, or really any end user of one of our design applications or design applications outside of Autodesk ecosystem. At the end, I'll touch a little bit on if you're a developer, how you can start to build integrations with data exchanges as well.

All right, so as we move more and more of our applications and as you move more and more of your data into the cloud, it's important from Autodesk standpoint that we provide collaboration tools that support managed trackable data sharing workflows in the cloud. And that's exactly what we're targeting with data exchanges. With data exchanges, customers can share the right data with the right person in the right context instead of sharing massive files with minimal control over data noise and who has access to what.

And with data exchanges, sharers can protect their IP, their designs, again, by selectively choosing what they share with consumers. And then receivers of that data can then selectively consume what they want in their application of choice all the while because we're moving smaller bits of data across applications and across the cloud versus massive gigabyte plus files, we're reducing latency in these workflows as well. So I'm going to jump into how data exchanges work today. And we're going to start with an end user perspective right here.

So let's start with a pretty common customer example we hear a lot of. And of course, there are many different flavors of this, probably hundreds of thousands of different collaborative workflows like this. Let's say we have got two individuals. They're working on the design of an office building. You've got an architect on one side who's working on the design of that office building. And you've got on the other end, a stair railing fabricator who's working on, as you might imagine, the stair railing manufacturing and design.

These two individuals in this case-- and this is pretty frequent-- are using completely different applications. The architect's using Revit. The fabricator might be using Inventor in this case, perhaps SolidWorks, perhaps another tool like ProE. There are many similar scenarios like this where the architect would want as the author of the design data might not want to share the whole building model with a downstream consumer like the fabricator here.

Maybe again, it's to protect IP. Or maybe he doesn't want to overwhelm her with too much data noise. And then on the fabricator side, she only wants to deal with the data. She needs it, might be just the stairwell. And more often than not, that is a subset of the entire building model.

So in this example, with data exchanges, what the customer can do here, what an architect can do here is select just the data that he wants to share with the fabricator with any other person downstream. And today, the architect would establish 3D views, which in turn would be converted into data exchanges. We're going to support many more filtering options in the future.

Data exchanges today, they'll work with 3D views in Revit. So the architect can go ahead and create that. That data exchange is stored in Autodesk Docs which is part of Autodesk Construction Cloud. And once that data exchange is created, it's rich data, all the objects, all the walls-- this case, the railings, the stairs-- all those objects with their associated parameters and relationships are stored granularly in the cloud in a cloud database. It's not a file, but rather granular data that's stored on Autodesk Construction Cloud. So it's a little different than a file, which is a blob-- opaque blob that's hard to get to the data that you need.

So once that exchange is created, the architect can share that data with any number of downstream consumers like I mentioned. In this scenario, the Inventor user, that fabricator's been given access. And she can pull in again just that data that she needs that exchange. And she can start to design around the context of that geometry data. And then in this case, family category data that's coming in from Revit.

Now, an important piece that we hear a ton from customers in especially in these highly collaborative workflows is the need to ensure changes are propagated downstream. So if a change happens in the model and vice versa actually, if the change happens in the model, the expectation is that downstream consumers of that data will be notified, hey, you've got a change. And those folks can pull in the changes as needed.

So that's how data exchanges work when there's an update in the source model. That change is propagated to the exchanges associated with that source model. And then downstream consumers, like our stair fabricator in Inventor, can pull in those changes when they like.

So that's just a typical data exchange workflow. Here, we're showing integrations that we have with Revit and Inventor. But we're building many more integrations. And because data exchanges are essentially neutral containers of data, we can integrate other apps pretty easily.

And one that Cesar's going to talk about in a couple of minutes here is our Power Automate integration. That's with a non-Autodesk tool and frankly, a business tool. So integrating some design applications with business tools here. We're also pulling in and pushing data from Rhino 3D, which is a conceptual design tool used oftentimes in earlier stages of design of buildings, as well as products-- consumer products as well.

So we're building out many more integrations. And I'll get to some of those in the roadmap piece at the end of this presentation. But if you're a developer, you can actually start accessing all that rich data in an exchange on the cloud through our cloud APIs and geometries-- geometry STKs. So I'll touch a little bit on what some of our partners-- developer partners have done. But today, we're going to focus on really what you can do as an end user with our Power Automate integration.

Before I pass it over to Cesar, I wanted to show the workflow that you just saw, the Revit & Inventor workflow in action. So I'm just going to run this video again. This is sharing subsets of data from Revit with a tool like Inventor. Let's just run this video here.

So these are the 3D views that the architects established here. And those are essentially going to be what you can create data exchanges from. Here we are-- we're saving the model to the cloud. And we will move over to Autodesk Docs in this next stage here, open that Revit model, take a look at all those 3D views from which we can create data exchanges. And we could go ahead and create that subset in that folder, which we'll then share with the fabricator.

So in Inventor, which we're in right now, the fabricator can load all of the exchanges she has access to, can preview that exchange before bringing it in. And then she can start to design around this context seeing some of the information from Revit coming in on the tree on the left. And then just to feature the updates, when the architect goes ahead and updates that original model, those changes get propagated to the Inventor user. She can pull in those updates when she wants.

So that's pretty much basically how that workflow works. Again, you'll see some similarities with the other workflows, including the one that I'm going to hand off to Cesar right now.

CESAR ESCALANTE: Thanks, Philippe, for the great introduction to direct changes. We're just starting to scratch the surface of the potential use of that exchanges in the industry. And in the following section, I will demonstrate to you how you can tap the information contained in that exchanges to create automated business processes using Microsoft Power Automate.

So what's Power Automate, and what can I do with it? Power Automate is a cloud-based application that you can use to connect apps, services, and processes together to create a workflow. Power Automate is all about having computers manage repetitive tasks. It allows anyone with a knowledge of business processes to create repeatable flows that when triggered, leap into action and perform process.

Common scenarios and capabilities for Power Automate are moving data from one system to another system, guiding a user through a process that they complete in different steps, and connected data from one source to external data sources using one of the 100 connectors that are available in the Power Automate interface. But I think more importantly, Power Automates provide a built-in framework available to users with low-level code skills. The automation flows can be built virtually by anyone from business users with no coding skills to professional developers.

Here is the homepage of the Power Automate interface. It's a cloud service. So you don't need to install anything on your desktop. You just have to subscribe to the service. And the tool has a built-in templates that will allow you to build an automated workflow.

Here is an example of a flow. This is a scheduled flow using one of the out-of-the-box templates. What this workflow is doing, it's every day on Friday at 8:00 in the morning. A selected user is going to receive via email a reminder to fill a timesheet. I'm sure a lot of you can relate to this request in your particular offices.

Let's review some of the basic concept of a flow. Every flow has two main parts-- a trigger and the actions. You can think of the trigger as the starting action of a flow. The trigger is something like receive a new email or when you hashtag somebody in social media, add a new item.

And the actions is what you want to happen when the trigger is invoked. For example, when a new email-- when you receive a new email, the start of the creation of a new file in OneDrive for business, for example. Or for example, send an email when the system discovered a tweet with our specific hashtag. Or when you start an approval process of a construction administration task.

Power Automate create three types of flows-- cloud flows. These are the flows that you build with a trigger that automatically result into an action. We have desktop flows. These are more like process automation workflows that allow you to use your desktop to build a task and record it.

This is quite useful for building a flow on legacy application with no exposed API. And then we have business process flow. It's a flow that guide our users to series of steps so they complete a task in different stages. Autodesk has published connectors that were designed primarily to support cloud flows. We believe the cloud is the right place to seamlessly connect and link services and enable applications that talk to each other.

The Autodesk four connector will publish as a beta at the moment supports three types of cloud flows. Automated flows. This is a flow that's triggered by a cloud event. The arrival of an email, for example, or when you mention somebody in social media.

Instant flow. It's a flow that is triggered manually with the click of a button. For example, when you initiate an approval process, or you start a change order on demand. And schedule flows. This is a flow that is scheduled as a recurring event on a pre-defined cadence. For example, a notification to fill your timesheet.

Connectors provide a way for users to connect different apps and services. And once we connect those apps, we can create wonderful and amazing time-saving workflows. And Microsoft is constantly adding more connectors. A third party develop them and publish them.

When you explore all these different connector, you will find that a lot of them have a premium tag while others don't. Premium connectors are available for users who pay a premium for third-party apps to have access to their cloud services. The standard connectors are technically free.

Most of these connectors are built by Microsoft and Microsoft products, including things like SharePoint, Office 365, and all the products, and OneDrive. Our data exchanges, the Autodesk data exchanges connector, it's a premium connector. And it will be available to you who has secure a Revit subscription and Autodesk Docs.

Within Power Automate, we find multiple templates-- hundreds of templates that are pre-populated with sequence and triggers. They are searchable. They are grouped by type. You can sort them by popularity. And a template is a ready-to-go collection of instructions perfect for anyone to get started with Power Automate.

Autodesk has published several sample flows that pull data from data exchanges. At the time of these presentations, there are three published templates that you can get started with. We are working on publish more of this in the near future. The current workflow samples include extract data from an Excel into an exchange when an exchange is published, receive a notification on MSN themes when an exchange is updated, and create and assign task in a Trello after running a parallel parameter value validation.

Now, let's explore how to build a flow using a pre-defined template. This flow will generate a notification on MS teams when a data exchange is published on Autodesk Docs. At a very high level, this is how it works. The flow will get started when a data exchange is created on a dedicated box folder. Then the flow will retrieve file information about that exchange and create an MS team's instruction to send a notification to a specific user.

Here's a video on how you can put this together. You start by creating a flow using one of the Autodesk templates. You can just click on the searchable cell for Autodesk templates and enable the team notification on exchange creation. Make sure that you have the appropriate credential to access those cloud services.

It's a good idea to rename and identify our workflow appropriately. And the template comes with a predefined set of triggers and actions ready to be pre-filled with your custom information, like, how to access your hub, your project, your folder, and the location of the exchange.

After that, the flow is going to detect and extract information about that and post a message on Teams in a certain format. You can define the destination location of the notification, the type of message, and pre-fill your message with information collected dynamically from the previous steps, like, the file name and who created, and when it was created.

Once you create this template, save it. And let's trigger an event to get it started. In this particular example, the trigger is going to be the creation of a new exchange. In Revit, I have a view that it's going to-- a view that I have designated to create a new exchange.

Create a new exchange, save it to a specific folder. And as soon as the operation is completed, Power Automate is going to trigger the flow. And you're going to see right on the right side how there is a new message notification in MS teams that a new exchange has created. And when I click on it, it has the bits of information as defined in the flow.

We could sample. But let's review another more complex example. This flow will collect information on a specific type of wall in a Revit that is relevant for a specific fabricator and export it to an Excel spreadsheet.

At a very high level, this is how the workflow is put together. You get started when a new data exchange is updated in a dedicated folder in our Autodesk Docs. The exchange consists of a view of this plane insulated panels. The flow retrieving information about this exchange and filter the data based on specific conditions. If the data belongs to the category of walls, then it will be added as a row in an Excel spreadsheet. If not, the information will be ignored.

This video illustrate the process. We start by creating a flow using the provided template. Make sure you have access to the services as needed. Here, you are presented with the trigger needed to start the flow. Make sure you add the appropriate information for the whole location, project, et cetera.

Now, we are going to move this information into an Excel spreadsheet. And I'm creating an Excel spreadsheet and populating it with parameter values associated with this panels, including element ID, the category, the name of the family, the length of the wall, and the area of the wall. All of this is relevant information for a insulated panel fabricator.

It's important to convert this information into a table and name the table appropriately in Excel because that's the only way in which the flow is going to retrieve information. The file is saved into a cloud location. In this case, I'm saving it into my SharePoint. But you can also use OneDrive either business or personal. And the reason is that the flow need a cloud location that they can tap when the software is closed.

All right, let's go back to the trigger event. Indicate what is the data exchange that will start the flow. In this case, it's a data exchange stored in the Autodesk cloud. Then we have flow operations that will extract information about that exchange, get all the properties associated with that exchange, and then apply a filter conditioner that will sort that information based on a specific condition.

If the parameter is associated with the wall, then the information will be added as a row into a table. This is an Excel connector. As a connector, I need to indicate where the information is going to be exported into. And I just add the metadata where that Excel file resides, make sure that indicate the document library, the file path, and the table name.

On automated, import automatically and display automatically all the table column headers. And you can start to populate them with dynamic information associated with the Data Exchange. Review. You can test the flow, save it. And let's see how it works.

This flow will be trigger by an event. And this event is the update of an existing data exchange. That exchange in Revit is called WallPanels. Make sure to save and synchronize the information. And the Date Exchange app allow you to update an exchange directly from the Revit application. And as soon as this exchange is updated, you're going to notice that Excel spreadsheet, it's populated with the appropriate information.

Now, there are plenty of applications dealing with Excel exports. But the difference here is that the values of this database are updated automatically by [INAUDIBLE] seamlessly, Revit and Excel. There's no need for expensive deployment. You don't need to know code, have a code in order to carry out this task as it happens automatically.

All right, let's review another interesting example. This flow will connect information about room and room finishes from a data exchange and export all this as metadata into an Excel spreadsheet that will be connected to a Power BI Report.

At a very, very high level, this flow is triggered by the update of a data exchange. This clear the content of an existing Excel file hosted on a cloud repository. And a series of operator apply conditional values that identify which part of the data is associated with this particular-- the category of rooms. And if we meet that condition, that information is brought into Revit into an Excel spreadsheet.

The spreadsheet is updated. And then this triggers a refresh of a data set embedded into our BI. And when the data set is refreshed, the report is automated. It's refreshed as well. And you can send an email directly to anyone who be interested in reviewing the new contents of the report.

Let's see it in action. When you make a change in Revit, this is going to trigger an event. In this case, the change is adding a couple of rooms. These rooms will have and will report new metadata, including the room name and number and finishes associated with those rooms. The information needs to be saved, synchronized with central in the case of our work share file. And as soon as these exchange is updated in Autodesk Docs, that's going to trigger the flow to get started.

The update can happen directly from the Data Exchange connector. And that makes this little piece of app very useful for streaming the exchange of information. Here, you can see the exchange getting processed on the cloud.

All right, the trigger was executed. And you can actually tap the history panel of the flow in order to understand the different steps process by the flow. This is a snapshot of where the flow stands. And a few seconds afterwards if you would refresh the flow, the flow is going to report whether it was successful or whether it failed.

I mean, if the workflow failed and there's something that prevented this from happening, you can troubleshoot directly from the Power Automate interface. In this case, the workflow succeeded. And you can see how the-- by refreshing the Power BI Report, the number of rooms, and the additional information, it's automatically added to the report.

Power BI. Its business intelligence tools that give us the ability to analyze and visualize raw data and using the power of Power BI to create this visually-rich report to make business decision. It's a big value proposition for businesses who are attempting to automatize and expedite the flow of information in decision making.

All right, let's-- the flow finished with a recipient receiving an email-- in this case, is myself-- with metadata about that new exchange, the new report.

All right, let's discuss how you can get started. To tap into the address connectors in Microsoft Power Automate, you need an active subscription of Revit along with an active description of Revit Docs. This will give you access to the premium data. Connectors available in Power Automate. You will also need a Power Automate premium subscription and an Office 365 subscription. A lot of companies already have at least Office 365 services in place. So you might as well have this security within your organization.

And finally depending on what you intend to do, you need to secure third-party cloud services subscriptions. A lot of these are free, like, YouTube or Twitter or Trello. And for others, you need a-- it will be included in the fee for this description of the software. For example, Power BI. Something you need to pay a premium to get access to those services. And there's a plethora of private custom connector developed by private third parties that will extend the power of automation in the cloud.

Let's see what's coming. We're just starting to understand the potential of automation assisted by data exchanges. And Philippe is going to close the session by highlighting what's coming.

PHILIPPE VIDEAU: Great. Thanks, Cesar. And just one thing to add here. You can always start with a trial. I think there are 60 to 90-day trials for the premium subscription. So you can go ahead and do that to get started and play around with the connector.

All right, let's talk about what is coming next with data exchanges. Like we mentioned, we have a set of connectors that we've built out, including for Revit, for Inventor on the receiver consumer side. We've done the same with Power Automate. And at the time of this recording, we're working on it. We're going to be soon releasing connector for Rhino-- Rhino 3D. I'll show you a video in just a sec on that.

But what's coming down on the pipe for other connectors? So we're going to be looking into some of the low-code tools that they're used quite a bit in the AEC industry-- Dynamo, grasshopper. We're going to get into some of the infrastructure tools that many customers use, like Civil 3D

We've heard customers really interested in non-Autodesk application connectors. So those include things, like, Tekla Structures, Bentley MicroStation. And then on the manufacturing side, integrations with tools like SolidWorks. And then looking later out next year, as well, we'll be looking at connecting to some of our media and entertainment tools, like, animation software, like, Maya 3ds Max, as connecting into some of those game engines, especially for those AR/VR workflows. And then a plethora of other tools.

So let us know-- this-- I haven't shown all the connectors that we're looking at. But certainly let us know if you have ideas around connectors if you're not seeing them come out in the next several months.

Just a quick sneak peek at the Rhino connector that we're building out. This will show one part of the workflow reading data into Rhino from a data exchange. In this case, like Cesar showed, we're creating a data exchange in Revit from the Data Exchange connector. This is just an ad that you can download.

And then we can move over to Rhino. And we also have a connector in Rhino. So you could bring in-- again, take a look at all the data exchanges you have access to in Docs. You can preview a data exchange before bringing it in. And then once you figure out which data exchange you want to bring into Rhino, you can load that in, bring in the geometry data, as well as some of the ridge parameter property data from Revit.

You can also do some mapping with Revit parameter groups. You can select which ones to map to. For instance, layers in Rhino. So we're going to be building out some more filtering capabilities both on the consumer and the authoring side. So you can start to selectively bring in-- let's say Cesar shared with me this entire exchange, and I just want to bring in the walls, I can do that. So we'll be building out some of those filtering capabilities as we release these.

Now, lastly, just for you developers out there or for folks who have teams of developers, we have a few early partners who have been already building connectors to their own applications or to applications out there that they want to essentially build an integration to data exchanges with. So we have customers looking at PowerPoint, Tekla Structures. We even have a customer or a partner who's expanded the Inventor connector we built that using our API. So you can go and access that API, which is a Cloud API on forge.autodesk.com.

And lastly, just want to close this out with a few learning resources and links. So you can take a look at what's new in Revit 2023. We have Help Docs and explanatory information there on data exchanges in that link. The same goes for Inventor as well as Power Automate. So we have documentation on the Microsoft Power Automate site where you can find some of the templates Cesar talked through, as well as our own help pages where you can find some step by step tutorials on how to use those templates or on how to build your own flow.

If you have any questions about data exchanges, feel free to contact us at data.exchange.support@autodesk.com. You can, of course, reach out to me and Cesar as well.

And then lastly, I'll do a little plug for our early access and research program. This is our Vanguard program. We started this up earlier-- or sorry, later last year, bringing in a bunch of different partners and customers who want to help influence how we build out this ecosystem all the way from the developer side. So from the API side to end users.

So we have a number of different customers again, both small and large, who are working with us. And it's been super helpful working with them on building out this ecosystem. So definitely let us know, reach out. We're happy to chat about how to get you involved in that program.

So both Cesar and I want to thank you for listening to our class. Again, we're going to be live at AU. I think we have two classes registered at AU. And if you're going to make it out there, we're happy to see you. If you're just able to watch the recording, again, feel free to reach out to us and thanks a bunch for spending time with us today.

CESAR ESCALANTE: Thanks, everyone.

Downloads

______
icon-svg-close-thick

Cookie 首选项

您的隐私对我们非常重要,为您提供出色的体验是我们的责任。为了帮助自定义信息和构建应用程序,我们会收集有关您如何使用此站点的数据。

我们是否可以收集并使用您的数据?

详细了解我们使用的第三方服务以及我们的隐私声明

绝对必要 – 我们的网站正常运行并为您提供服务所必需的

通过这些 Cookie,我们可以记录您的偏好或登录信息,响应您的请求或完成购物车中物品或服务的订购。

改善您的体验 – 使我们能够为您展示与您相关的内容

通过这些 Cookie,我们可以提供增强的功能和个性化服务。可能由我们或第三方提供商进行设置,我们会利用其服务为您提供定制的信息和体验。如果您不允许使用这些 Cookie,可能会无法使用某些或全部服务。

定制您的广告 – 允许我们为您提供针对性的广告

这些 Cookie 会根据您的活动和兴趣收集有关您的数据,以便向您显示相关广告并跟踪其效果。通过收集这些数据,我们可以更有针对性地向您显示与您的兴趣相关的广告。如果您不允许使用这些 Cookie,您看到的广告将缺乏针对性。

icon-svg-close-thick

第三方服务

详细了解每个类别中我们所用的第三方服务,以及我们如何使用所收集的与您的网络活动相关的数据。

icon-svg-hide-thick

icon-svg-show-thick

绝对必要 – 我们的网站正常运行并为您提供服务所必需的

Qualtrics
我们通过 Qualtrics 借助调查或联机表单获得您的反馈。您可能会被随机选定参与某项调查,或者您可以主动向我们提供反馈。填写调查之前,我们将收集数据以更好地了解您所执行的操作。这有助于我们解决您可能遇到的问题。. Qualtrics 隐私政策
Akamai mPulse
我们通过 Akamai mPulse 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Akamai mPulse 隐私政策
Digital River
我们通过 Digital River 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Digital River 隐私政策
Dynatrace
我们通过 Dynatrace 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Dynatrace 隐私政策
Khoros
我们通过 Khoros 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Khoros 隐私政策
Launch Darkly
我们通过 Launch Darkly 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Launch Darkly 隐私政策
New Relic
我们通过 New Relic 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. New Relic 隐私政策
Salesforce Live Agent
我们通过 Salesforce Live Agent 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Salesforce Live Agent 隐私政策
Wistia
我们通过 Wistia 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Wistia 隐私政策
Tealium
我们通过 Tealium 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Tealium 隐私政策
Upsellit
我们通过 Upsellit 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Upsellit 隐私政策
CJ Affiliates
我们通过 CJ Affiliates 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. CJ Affiliates 隐私政策
Commission Factory
我们通过 Commission Factory 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Commission Factory 隐私政策
Google Analytics (Strictly Necessary)
我们通过 Google Analytics (Strictly Necessary) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Strictly Necessary) 隐私政策
Typepad Stats
我们通过 Typepad Stats 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Typepad Stats 隐私政策
Geo Targetly
我们使用 Geo Targetly 将网站访问者引导至最合适的网页并/或根据他们的位置提供量身定制的内容。 Geo Targetly 使用网站访问者的 IP 地址确定访问者设备的大致位置。 这有助于确保访问者以其(最有可能的)本地语言浏览内容。Geo Targetly 隐私政策
SpeedCurve
我们使用 SpeedCurve 来监控和衡量您的网站体验的性能,具体因素为网页加载时间以及后续元素(如图像、脚本和文本)的响应能力。SpeedCurve 隐私政策
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

改善您的体验 – 使我们能够为您展示与您相关的内容

Google Optimize
我们通过 Google Optimize 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Google Optimize 隐私政策
ClickTale
我们通过 ClickTale 更好地了解您可能会在站点的哪些方面遇到困难。我们通过会话记录来帮助了解您与站点的交互方式,包括页面上的各种元素。将隐藏可能会识别个人身份的信息,而不会收集此信息。. ClickTale 隐私政策
OneSignal
我们通过 OneSignal 在 OneSignal 提供支持的站点上投放数字广告。根据 OneSignal 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 OneSignal 收集的与您相关的数据相整合。我们利用发送给 OneSignal 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. OneSignal 隐私政策
Optimizely
我们通过 Optimizely 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Optimizely 隐私政策
Amplitude
我们通过 Amplitude 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Amplitude 隐私政策
Snowplow
我们通过 Snowplow 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Snowplow 隐私政策
UserVoice
我们通过 UserVoice 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. UserVoice 隐私政策
Clearbit
Clearbit 允许实时数据扩充,为客户提供个性化且相关的体验。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。Clearbit 隐私政策
YouTube
YouTube 是一个视频共享平台,允许用户在我们的网站上查看和共享嵌入视频。YouTube 提供关于视频性能的观看指标。 YouTube 隐私政策

icon-svg-hide-thick

icon-svg-show-thick

定制您的广告 – 允许我们为您提供针对性的广告

Adobe Analytics
我们通过 Adobe Analytics 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Adobe Analytics 隐私政策
Google Analytics (Web Analytics)
我们通过 Google Analytics (Web Analytics) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Web Analytics) 隐私政策
AdWords
我们通过 AdWords 在 AdWords 提供支持的站点上投放数字广告。根据 AdWords 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AdWords 收集的与您相关的数据相整合。我们利用发送给 AdWords 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AdWords 隐私政策
Marketo
我们通过 Marketo 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。我们可能会将此数据与从其他信息源收集的数据相整合,以根据高级分析处理方法向您提供改进的销售体验或客户服务体验以及更相关的内容。. Marketo 隐私政策
Doubleclick
我们通过 Doubleclick 在 Doubleclick 提供支持的站点上投放数字广告。根据 Doubleclick 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Doubleclick 收集的与您相关的数据相整合。我们利用发送给 Doubleclick 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Doubleclick 隐私政策
HubSpot
我们通过 HubSpot 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。. HubSpot 隐私政策
Twitter
我们通过 Twitter 在 Twitter 提供支持的站点上投放数字广告。根据 Twitter 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Twitter 收集的与您相关的数据相整合。我们利用发送给 Twitter 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Twitter 隐私政策
Facebook
我们通过 Facebook 在 Facebook 提供支持的站点上投放数字广告。根据 Facebook 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Facebook 收集的与您相关的数据相整合。我们利用发送给 Facebook 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Facebook 隐私政策
LinkedIn
我们通过 LinkedIn 在 LinkedIn 提供支持的站点上投放数字广告。根据 LinkedIn 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 LinkedIn 收集的与您相关的数据相整合。我们利用发送给 LinkedIn 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. LinkedIn 隐私政策
Yahoo! Japan
我们通过 Yahoo! Japan 在 Yahoo! Japan 提供支持的站点上投放数字广告。根据 Yahoo! Japan 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Yahoo! Japan 收集的与您相关的数据相整合。我们利用发送给 Yahoo! Japan 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Yahoo! Japan 隐私政策
Naver
我们通过 Naver 在 Naver 提供支持的站点上投放数字广告。根据 Naver 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Naver 收集的与您相关的数据相整合。我们利用发送给 Naver 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Naver 隐私政策
Quantcast
我们通过 Quantcast 在 Quantcast 提供支持的站点上投放数字广告。根据 Quantcast 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Quantcast 收集的与您相关的数据相整合。我们利用发送给 Quantcast 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Quantcast 隐私政策
Call Tracking
我们通过 Call Tracking 为推广活动提供专属的电话号码。从而,使您可以更快地联系我们的支持人员并帮助我们更精确地评估我们的表现。我们可能会通过提供的电话号码收集与您在站点中的活动相关的数据。. Call Tracking 隐私政策
Wunderkind
我们通过 Wunderkind 在 Wunderkind 提供支持的站点上投放数字广告。根据 Wunderkind 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Wunderkind 收集的与您相关的数据相整合。我们利用发送给 Wunderkind 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Wunderkind 隐私政策
ADC Media
我们通过 ADC Media 在 ADC Media 提供支持的站点上投放数字广告。根据 ADC Media 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 ADC Media 收集的与您相关的数据相整合。我们利用发送给 ADC Media 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. ADC Media 隐私政策
AgrantSEM
我们通过 AgrantSEM 在 AgrantSEM 提供支持的站点上投放数字广告。根据 AgrantSEM 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AgrantSEM 收集的与您相关的数据相整合。我们利用发送给 AgrantSEM 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AgrantSEM 隐私政策
Bidtellect
我们通过 Bidtellect 在 Bidtellect 提供支持的站点上投放数字广告。根据 Bidtellect 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bidtellect 收集的与您相关的数据相整合。我们利用发送给 Bidtellect 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bidtellect 隐私政策
Bing
我们通过 Bing 在 Bing 提供支持的站点上投放数字广告。根据 Bing 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bing 收集的与您相关的数据相整合。我们利用发送给 Bing 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bing 隐私政策
G2Crowd
我们通过 G2Crowd 在 G2Crowd 提供支持的站点上投放数字广告。根据 G2Crowd 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 G2Crowd 收集的与您相关的数据相整合。我们利用发送给 G2Crowd 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. G2Crowd 隐私政策
NMPI Display
我们通过 NMPI Display 在 NMPI Display 提供支持的站点上投放数字广告。根据 NMPI Display 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 NMPI Display 收集的与您相关的数据相整合。我们利用发送给 NMPI Display 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. NMPI Display 隐私政策
VK
我们通过 VK 在 VK 提供支持的站点上投放数字广告。根据 VK 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 VK 收集的与您相关的数据相整合。我们利用发送给 VK 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. VK 隐私政策
Adobe Target
我们通过 Adobe Target 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Adobe Target 隐私政策
Google Analytics (Advertising)
我们通过 Google Analytics (Advertising) 在 Google Analytics (Advertising) 提供支持的站点上投放数字广告。根据 Google Analytics (Advertising) 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Google Analytics (Advertising) 收集的与您相关的数据相整合。我们利用发送给 Google Analytics (Advertising) 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Google Analytics (Advertising) 隐私政策
Trendkite
我们通过 Trendkite 在 Trendkite 提供支持的站点上投放数字广告。根据 Trendkite 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Trendkite 收集的与您相关的数据相整合。我们利用发送给 Trendkite 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Trendkite 隐私政策
Hotjar
我们通过 Hotjar 在 Hotjar 提供支持的站点上投放数字广告。根据 Hotjar 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Hotjar 收集的与您相关的数据相整合。我们利用发送给 Hotjar 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Hotjar 隐私政策
6 Sense
我们通过 6 Sense 在 6 Sense 提供支持的站点上投放数字广告。根据 6 Sense 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 6 Sense 收集的与您相关的数据相整合。我们利用发送给 6 Sense 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. 6 Sense 隐私政策
Terminus
我们通过 Terminus 在 Terminus 提供支持的站点上投放数字广告。根据 Terminus 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Terminus 收集的与您相关的数据相整合。我们利用发送给 Terminus 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Terminus 隐私政策
StackAdapt
我们通过 StackAdapt 在 StackAdapt 提供支持的站点上投放数字广告。根据 StackAdapt 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 StackAdapt 收集的与您相关的数据相整合。我们利用发送给 StackAdapt 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. StackAdapt 隐私政策
The Trade Desk
我们通过 The Trade Desk 在 The Trade Desk 提供支持的站点上投放数字广告。根据 The Trade Desk 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 The Trade Desk 收集的与您相关的数据相整合。我们利用发送给 The Trade Desk 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. The Trade Desk 隐私政策
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

是否确定要简化联机体验?

我们希望您能够从我们这里获得良好体验。对于上一屏幕中的类别,如果选择“是”,我们将收集并使用您的数据以自定义您的体验并为您构建更好的应用程序。您可以访问我们的“隐私声明”,根据需要更改您的设置。

个性化您的体验,选择由您来做。

我们重视隐私权。我们收集的数据可以帮助我们了解您对我们产品的使用情况、您可能感兴趣的信息以及我们可以在哪些方面做出改善以使您与 Autodesk 的沟通更为顺畅。

我们是否可以收集并使用您的数据,从而为您打造个性化的体验?

通过管理您在此站点的隐私设置来了解个性化体验的好处,或访问我们的隐私声明详细了解您的可用选项。