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The VINCI and Autodesk 10-Year Partnership: 30,000+ Hours Saved Annually

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说明

VINCI—a world leader in concessions, energy, and construction—has been using Autodesk software to help streamline its operations and drive its international expansion. With a platform approach, Revit customizations, and building information modeling (BIM) as a standard practice, VINCI has achieved significant time savings of more than 30,000 hours annually, and captured more business abroad. In Q4, VINCI renewed its fourth Enterprise Business Agreement (EBA) with Autodesk, expanding deployment of Autodesk Construction Cloud on major projects to further integrate data and workflows and ensure a seamless transition from design through construction. Together, the VINCI BIM team and the Autodesk Consulting team improved use of these tools by implementing and improving processes and creating customized plug-ins. The latter allow us to match all needs inside our company, which has lots of different disciplines and as many demands.

主要学习内容

  • Discover processes to streamline your use of Autodesk tools.
  • Collaborate with Autodesk Consultants to deliver value and improve ROI.
  • Learn about building and maintaining a very large range of tools to meet multiple needs inside companies.

讲师

  • Eric Felipe ARAUJO MOREIRA 的头像
    Eric Felipe ARAUJO MOREIRA
    Leading the BIM IA DATA & Analytics division at VINCI Construction, my mission is to revolutionize the construction sector with cutting-edge technological integration. Expertise in AI and data analytics, including SQL, Python, and data mining, forms the core of my role, enabling the business to achieve elevated project efficiency and client satisfaction. Spearheading end-to-end BIM initiatives and applying AI algorithms, my work has significantly contributed to making construction site information insightful and actionable. With a focus on innovative solutions and operational excellence, our team delivers applications that transform how construction projects are managed and executed, ensuring the company's success in meeting the evolving needs of the industry.
  • Mhedi Mouhab 的头像
    Mhedi Mouhab
    Customer Success Manager at Autodesk
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Transcript

ERIC MOREIRA: Hello, everyone. I'm Eric Moreira. I'm the AI in BIM portfolio manager of I Project Its a BIM engineering department at VINCI construction. I'm excited to be here today to discuss the impact of our 10 year partnership with Autodesk. I'm here with Mhedi Mouhab.

MHEDI MOUHAB: Yeah. Hi, everyone. I'm Mhedi Mouhab. I'm working at Autodesk as a customer success manager, so helping VINCI to achieve their goals and success. I'm really happy to be here today with Eric.

ERIC MOREIRA: So in this presentation, we will explore how this partnership has resulted in saving over 3,000 hours saved annually. There is a thing that we need to start with is the difference between France based projects and outside France based projects. So the architect and design in France stay involved as a key actor in a more intricate workflow through all project stages.

So while [INAUDIBLE] collaborative framework can present challenges in France, it also enables projects to commence earlier and allow for modifications and adaptations as the project progresses. Ultimately enhancing flexibility and responsiveness to evolving client needs. But this also have a different consequences as the project processes continually evolve along the construction project. It's important to recognize that the software and tools that were maybe created outside France based market cannot be adapted directly to the French space market.

So there's Watts Humphrey that said that, "Every business is a software business." In a way we should approach the construction industry with the same mindset. By viewing construction through the lens of software development, we can identify numerous processes that can be automated and industrialized to enhance adaptation and flexibility.

This new perspective allows us to either leverage the existing software solutions or develop new applications tailored to a specific construction project's needs, ensuring that our tools align closely with the unique requirements of each project and organization. In my current organization, VINCI we embodied this approach, particularly within VINCI construction, the construction branch of VINCI SA.

VINCI SA is a world leader in concessions, energy and construction. We are active in more than 120 countries. We are the center of the challenges facing today's world. And our ambition and our main ambition today is to play an active part in the energy and environmental transition of living spaces, infrastructure and mobility.

Today we have around 68 billion Euros as a revenue making VINCI the second world leader in tolls in concessions, energy and construction. In 2023 we also made-- we also have a net income of 5 million euros. We have around 4,000 business units and we operate within 120 countries with over 314,000 worksites across the globe.

Within VINCI construction, we have the I Project department that is tasked with the overseeing outrage design management, doing design and construction coordination, and driving the development of AI and BIM technologies. Our AI and BIM development, especially expertise, involve more than 1,400 active teams across the globe. We have data center specifications where we can capitalize of what we already did with new project developments and project construction.

We apply AGILE development to do a step by step development with our internal community and we ensure to have a tailored solution to each one of our project, scope and user requests. So our team, it's locally-- we have many locations worldwide, and our partnership with Autodesk provides us with on-demand tools that empower our users. So I hand over to Mhedi to tell us a little bit more about this partnership.

MHEDI MOUHAB: Yeah, thank you, Eric. Yeah so I'm happy to be here and to share a few words about this partnership that has become more intentional since 2015 when we signed the first EBA, enterprise business agreement with VINCI construction. So if you go to the next slide, please, Eric.

So for the ones who don't know what is an EBA, here is a key component of an EBA. An enterprise business agreement. So users get access to all the Autodesk technology, the entire portfolio. We put in place an enterprise licensing system using tokens to access products with accurate consumption reporting, accessing cloud services, also. And the third big component is global services, where we have Autodesk, Autodesk consulting. So with a number of days included in the contract that has to be delivered over the period of three years, the EBA period is generally three years.

There is also a customer success management. This is specifically my role here. This is why I'm here today. And we have also the Enterprise Priority support, which is also a key element of an EBA. So if you go to the next slide, Eric, please.

So just as a snapshot, as of today, we have more than 8,800 desktop monthly active users. We have more than 1,400 cloud active users, and we have been delivering over the past 10 years 2,500 days between 2015 and 2024. Helping this team, I Project team to build those tailored tools that Eric was talking about. So it's around-- it's 74 custom tools that has been developed with the help of Autodesk consulting.

So yeah, just handing over to Eric, that he will go through the results and how we achieved that.

ERIC MOREIRA: Thank you, Mhedi. So these 74 custom tools allow us to save around 30,000 hours within a database of 800 targets, Revit active users of our community. We have an average adoption rate of 20%. The adoption varies according to expertise, methods. Engineers are more-- adopt more the technology than other specialization within VINCI, for example. So we can have forced specialization like methods engineering around 80%, 90%. And for another more another specialization, a very lower adoption rate.

When we also created learning paths tailored to for each one of the expertise that we can find in VINCI construction. But the portrait that we have today didn't start like that. We start 10 years ago in 2011, and we had so many challenges to face back then. And I'd like to share some of these challenges with you.

So the first challenge is that VINCI required custom tools because off-the-shelf tools lacked the flexibility that we have in our projects. So the tools needed to be finely tuned to project requirements to ensure operational efficiency at every stage of the construction process.

We also need tools that automated repetitive tasks and reduce errors. The idea is to save time for on-site work crew, but also for engineers integrating all those workflows within the BIM methodology. But you also face challenges related to the construction tradition, because there's a resistance for adoption of new methodologies. And teams are usually accustomed to traditional methods. So we had to manage those changes effectively and ensure the smooth transition from traditional methods to more modern ones.

How we achieve this. We have three key elements to achieve this. This final result. The first one was Autodesk technical expertise. That was always available to our own domain to our needs. We had also a robust community, fostering collaboration and share expertise across the globe. And we have the emphasis on training and upskilling teams to meet their new digital demands.

The EBA contract that Mhedi told us a little bit about, we have two different tools inside [INAUDIBLE] that we can use for addressing those challenges. We have the advisory services that can help us assess, but also design and shape this new solution as we can adapt, create custom tools to these project requirements. And we also have a second tool that's called implementation services, where we really develop what we planned with the advisory services. So they are really complementary in a way of building a particular tool.

Each time we build a tool, we also thought about the value that these tool brought to the community. So here we have an example of a tool that generate parameters and values within the BIM model. When to got out, we had a current adoption of 300 users and our projected adoption was the 800 Revit users database. We had, for example, for some of the parameters that were generated, we had around 40 minutes that the engineer took his calculator, calculate everything by hand or in Excel. And then he put the data back into the BIM model.

And for this kind of process, we could save around 39 minutes of his time. And that needs current adoption rate of 2% according to the amount invested to this particular project, and the future adoption ROI. It's more around 172% if all the project adoption user database are able to use this tool. Sorry.

So it's for sure, it's not an exact science. It varies across user database, but it took the worst case scenario to ensure that the data that we have here, the methodology that we have here, it's stressful. It's volatile. And with this methodology, we are provided with key performance indicators.

So for example, we can all across the product, all across the product deployment, we can ensure that we have a target adoption ROI and we can compare it to our current adoption ROI that we can measure in the same way that we taught with Autodesk for the value capture of one product. We also have trust metrics source to be able to track, to monitor this key metric all along the product.

We also know that the amount that one product should cost to be effective and to respect the ROI. And also we all along the user, the user adoption, we can ensure that the quality of the work and the feedback from the user are positive according to the quality that we want to have in our custom tools.

So talking about our custom tools. Just to have a general idea of what we can do with those 74 custom tools. We have tools that allow us to have multiple specializations, do BIM quality control, BIM model comparator. We can generate the parameters and for a particular model parameters that north that are not native to Revit itself.

We can also do automation. We can also have automation to create plans, create view plans, create worksheets and many documents that the boom of bill of materials for quantity surveyors. We also have multiple structural analysis tools, and finally methods tools that allows collaboration between structure and methods engineer, but also allow us to better phase our BIM models.

So for example, for the construction phasing tool here, it's a demo of one of our tools in Revit. We can phase the floor according to what we've done within the construction site, and we are able to create multiple phases and see the different-- and navigate across these different tools, different phasing that we can have for some of our projects. So this functionality is exist partly in Revit today because we do not have a phasing model that we're dealing with two methods engineers and the way that it work today.

The idea, so, was to build this and save time for the methods engineer. We are able to save around 2,430 hours for methods engineer, for example. We also had a tool that's called Structural-methods. Structural-methods model link. That today we have something Revit that's called Parts that create temporary objects within a model to be able to phase it. But it doesn't work very well for some particular objects like stairs.

And we had a tool that was built to improve the link between the structure and methods engineers, because as these elements were-- as we couldn't create parts over some elements, we are forced to remodel every model specifically for the method. So we were able to enable the digital continuity between structure and methods model. But you also-- we are also enabled to enhance productivity of our methods engineers that had all the elements that they need to face directly in our own model. Sorry.

We also had another plugin that's called Security Platform Generative. Basically, when we have a very complex Revit family, it can be a little tricky to place it and to work with it. So we create a plugin that take this secret platform, Revit family that's pretty complex, and place it across the building. The building construction.

So the security platform, it enables the work crew to be able to work in the breakout layer or around the building itself. And the we also, we today we created each one by hand. And now we have a plugin that can position them automatically over a particular building for every level of the building. So these allow our users to gain around 1,700 hours, for example.

And as I said before, we also had multiple learning paths created for each one of our specializations for methods engineers, for structural engineers, BIM fundamentals for BIM management, BIM coordination, but also BIM for contract managers to be able to check the contract and the terms of agreement that we need to evolve within BIM to be able to work correctly.

And just a little bit about I would like just in retrospect to tell a little bit about how we work with Autodesk and the different gaps that we had to bridge across the 10 last years, the last 10 years. So we require at the beginning a very diverse skill set capable of bridging the gap between construction teams and information technology expertise.

And over time, as we created templates, learning paths, resources and custom tools, they consolidated resources were the foundation that we created with Autodesk to be able to empower later on and to implement that communication plan to do a quick learning path for each one of the users that wanted to adopt Autodesk software. And today we continue to build on the foundation laid by the pioneers before us, adopting new technologies with greater ease.

As AI and data emerges as the most valuable assets of the center, we are also prepared for this new challenges that are bringing by AI because we also have this foundation of consolidation. Consolidated resources. And custom build tools, but also a community that want to adopt this new technology.

About the lessons learned. We have things that works well. We have the risks, but also we had improvement areas that we need to address today. So what works well is that we encourage collaboration with our community.

Everyone can share their tools, their templates, their way of work. We also had a linear approach for the development, so we wanted to do it quickly and give a tool to the user as quick as possible so they can test it and they can give feedback ASAP. And we also maintain constant communication about ongoing activities and development with the community. So we ensure that their engagement is there.

But as a risk, so our attempts to automate our entire process across multiple specializations and involving multiple skill sets, we're likely to fail because more. It's easier to go step by step and do small implementations than to attack a whole set of challenges right on.

The second thing is that you really need to ensure that we have regular AGILE meetings with external consultants to essentially to avoid budget overruns to keep on track, to keep the budget on track, to keep the subject on track. Also, we have to invest in an internal team capable of ensuring adoption of these users, but also to ensure the knowledge transfer from Autodesk to VINCI. And to also engage in the development process, given the limited availability of construction personnel.

And for the improvement areas, we think that today we would like-- it would be best to have a dedicate team to deploy the solutions that we build. Because that's a key part to ensure adoption for the users. And we also like to integrate the HR onboarding procedures. So new employees, they quickly learn they can quickly learn how to use those custom tools and being able to work directly with the resources that we have at disposal for their work.

So just to recap. For this, for the key metrics that I showed you before, with this methodology, we were able to save around 30,000 hours annually for a group of 800 target active users. We have an average range of 20% and multiple learning paths. And as a projection, if we get to 100 adoption rate, and if the AutoCAD users and another desktop software users migrate to Revit, we would have something around 150,000 hours saved annually over the tools that we already built and that are available to deployment.

And as a learning path, we are also developing a AI copilot to answer our apprentices and our different teams that want to find the best tool that will answer for their particular workflow. And for in about our path forward. We look into four different projects. One is to be able to create a building project life cycle, to be able to manage and to ensure that our model can be used all across the over workflow, to be able to operate the building. A likewise-- a little bit like in the industry section where we have more life cycle approach of the process that we do.

We are building tools that enable that use generative AI web tools. We are also exploring with geographic information system how we integrate GIS with BIM and another technologies and other data that we have inside the company. And we also integrating the environmental impact analysis integration across models, allowing teams to evaluate carbon footprints and other sustainability metrics earlier in the design process. So that are for best that we see for that we are exploring today.

I think the work with Autodesk it was a very-- it is a very good partnership. We are looking forward to face those challenges and the path forward is surely-- Autodesk will continue to be a great partner to address those challenges. So thank you. Thank you very much.

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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

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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

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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。