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What If... Convergence of Desktop, Collaboration, Data, and Digitization

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说明

We are starting to see a convergence of different industries and disciplines like we have never seen before. Construction and manufacturing for modular construction and building product manufacturing coming further into design. Plant and power owners using these same methodologies to help meet deadlines and set quality standards. Owners using digital twin and integrated factory modeling for digitalization of factory building and production lines. Digitization in infrastructure for everything below or above ground. Along with GIS, the ability to explore locations, events, and trends so stakeholders can be better informed or create awareness of the environment. See how today’s current desktop and cloud technologies like Revit, Inventor, Construction Cloud, and Fusion 360 are helping to bring a common data environment to multiple industries. Understand how Collaboration, Connected Data, and Digitization are bringing the “art of the possible” to a level that we have never seen before.

主要学习内容

  • Discover how Autodesk Construction Cloud, Fusion 360, and Autodesk Forge are being used as a Common Data Environment
  • Understand the benefits and leverage the convergence of Manufacturing and Data Solutions to the AECO Industries
  • Learn about the convergence of BIM solutions to manufacture owners on digitization of the factory and production lines
  • Find out how configurator platforms are changing fabrication and manufacturing workflows for the AECO/Mfg industries

讲师

  • Jarod Schultz 的头像
    Jarod Schultz
    With years of experience, I lead a dynamic team of solution consultants who specialize in crafting innovative, connected data and automated solutions. We work with clients across various industries, such as AECO, manufacturing, and power and process, to provide forward-thinking strategies and solutions that drive business success. I have a strong background in agile methodologies, which underpin our commitment to strategic excellence and continuous improvement. We assess each client's unique needs, conduct comprehensive business value assessments, and define customized solutions that align with their goals and vision. We also manage program execution, oversee implementation planning, and ensure the successful delivery of solutions. Additionally, we support client adoption, monitor its progress, and maintain strong client relationships. We are passionate about creating value for our clients and helping them navigate the complexities of their projects.
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Transcript

JAROD SCHULTZ: Hi, everybody. I'm Jarod Schultz. I'm Director of Strategy looking over Industrialized Construction at Team D3. We're an Autodesk Platinum Partner and an Esri Partner. And I have 30 years of multiple discipline experience, being architecture, engineering, construction, owner, and manufacturing.

Along that journey, I've gone through multiple transitions of technology acceptance, change management, and all of this at an ever increasing pace. At Team D3, we're a business consultant that has three brands. MG that looks over AECO Industries, and D3 Technologies that looks over the manufacturing industries, and then ECAD that looks over the process power and plant industries.

I work with multiple teams that work within all three of those brands to help our clients achieve innovative solutions, along with business strategies. Our motto is, if our clients are successful, then we are successful. So jumping in, so looking at this Venn diagram, we at Team D3 are starting to see a convergence of different industries and disciplines like we've never seen before.

Some of you are experiencing the convergence of construction and manufacturing, and what a lot of us are calling industrialized construction. We see construction taking on the mindset of manufacturing around fabrication of assemblies, and then taking those assemble components out to the job site for their final install. From this convergence of construction and manufacturing, we're seeing more and more modular construction, along with building product manufacturing, coming further into this playing field.

And then from this industrialized construction movement, we're starting to see this bleed over into the process and power industries, seeing plant owners using these same methodologies to help meet deadlines and set quality standards. Now, talking further on the owner side and looking at Digital Twin and Integrated Factory Modeling initiatives, we're seeing production lines being digitized along the entire factory as a series of BIM models. As new products are being rolled out, there's a need for new and improved production lines, which means, the factory floor, or the building itself, needs to be enhanced.

The current method of 2D drawings, they don't really work any longer. The factory needs to be really a series of BIM models so that the owner works with-- as the owner works with architects, engineers, general contractors, everything can be coordinated and follow the owners BIM standards and their guidelines. As an owner of these same building standards, or BIM standards and guidelines would be used in the horizontal construction, or infrastructure side, anything and everything below or above ground needs to be tracked because of the different kinds of fluids going in and out of the facility.

Along with this conversion, it's GIS mapping. Some of these owners are in the retail industry, or they might own thousands of stores or facilities having the ability to explore those locations events and trends so stakeholders can be better informed, or create awareness of the environment. So let's explore further on this convergence across these industries and disciplines.

So building upon this Venn diagram, we're now including the convergence of design and data into these different industries and disciplines. With this convergence of design and data, we're seeing Autodesk Construction Cloud having really a dramatic effect on the AECO Industries on being the common data environment. The same effect is happening on the manufacturing side with Fusion 360 cloud.

Now, I will say one of the smartest moves that Autodesk did when they started developing these cloud environments is put a bottom layer to this cloud platform called Autodesk Forge. Autodesk knew that they couldn't produce every solution under the sun that could fit for everyone. So Autodesk Forge is the application programming interface, or API platform, where if a client comes to us and says, hey, man, certain features, or abilities, aren't being met, then we, as a system integrator, or for you as your own company, you might have a developer on staff, can help develop a solution that does fit those needs.

But it doesn't stop just there. If we go further out in this Venn diagram, we see all kinds of other software vendors that clients are using today to get their projects done. This is just a few of over 200 software companies that connect with Autodesk cloud solutions.

In other words, they're also recognizing this convergence of design and data using Autodesk cloud solutions as a common data environment. If we go back to the center of the Venn diagram, Autodesk is also building relationships with what we call middleware software solutions. And, really, there's two partnerships right now.

One partnership is with Jitterbit, which we work with them quite a lot on the manufacturing side. So if you're dealing with Fusion 360, Jitterbit is the tool set. On the architect, engineering, construction, and owner side, we see Workato, which Autodesk labels as ACC Connect.

Both of these software solutions have what we call recipe tools to help us bring in additional connection points with all of these other software vendors into this common data environment. This is really-- I mean, talking to a lot of our clients, this is really bringing the art of possible to our clients to a level that we really haven't ever seen before. And think about it, what we're seeing here has been really stuck on a lot of file servers and really siloed in a lot of siloed databases.

Now, building upon this and looking at this Venn diagram a little bit more and progressing through this conversation about this convergence of design and data, we're seeing the ability to have multiple connection points to different software solutions, and having the ability to look at that data through dashboards, reports. But we need to expand on this a little bit further.

We also need to look at a convergence of communication into this environment. As we work with any of these industry projects and the many disciplines that come with it, there's a ton of communication going on. Now, a lot of us might use Microsoft Teams and Outlook, some of us use Slack. Whatever the tool might be, we need help in tracking communication through these processes and workflows.

Designs change, issues arise, RFIs are needed. All these things happen on our projects. My point is these types of software tools also have connection points into the common data environment.

Autodesk has been really addressing quite a lot of this using the Autodesk Construction Cloud on tracking these types of problems. But again, another software solution might be better when it comes to, let's say, fleet tracking and the communication that goes with that. As we get better at tracking this type of data across the platform, then our dashboards and reports will continue to improve.

One of the last things is all of the design software that we use during the day, the week, the month, to get our projects done. A mix of desktop solutions, cloud solutions, all continuing to feed this common data environment with updated information. A question to ask yourself, I mean, really, how many applications do you think you might have open at one given time when working in such an environment?

For myself, when I'm dealing with stuff like this on a weekly, daily, I typically have Outlook, Teams, Word, Excel, Revit, Inventor, Navisworks, Chrome with at least 10 tabs open. Let's not forget about Snagit, got to have Snagit, and Slack, all right? So we're all multitasking. I mean, that's just the norm anymore.

So think about how taxing that is on our current workstation. And then on top of that, how many of you working with gigabyte Revit files, or massive Navisworks collaboration models, or Inventor, or Fusion assembly models that make up, I don't know, hundreds or thousands of parts-- or a huge infrastructure model showing a new layout design of thousands of solar panels, let's say, or a map showing all the retail stores across the United States. All this data being pushed and pulled through the common data environment, helping us solve the one source of truth.

So everyone can see and view these data streams in real time, being able to red line, check, revise so, really, all the stakeholders are informed, able to see progress, or bottlenecks. Whatever the need is, whatever the outcome is, every day this is becoming more interconnected, hence, the conversions that we're seeing. Today's tools are only going to get better and better, really, when you start adding machine-learning and AI, you start adding those to the mix to help us facilitate, automate the tasks, better understand issues, or to even alert us before something goes into the ditch.

Talking about automation, we all wish we could just post a job these days, right, and 50 billion people would show up for the job, right? But that's just not reality these days. So we have these shortcomings, right, these gaps.

And so the only thing we could do to help fill in these gaps is to automate the process, or tasks. And some of these tasks or processes are tedious. So to be honest with you, best to automate it so that person, who's ever doing that, could be doing something a lot more productive, or doing a much more valuable task.

Honestly, it's amazing to see all this convergence happening in front of us. It's incredibly-- it's incredible to look back in the last three years and see what has all changed and where we are today. I can't wait to see what the future is going to be in the next three years as this convergence continues even further.

So I said a lot, I've shown a lot. I want to bring a little bit of reality to this, also. So let's look at a convergence example focused on manufacturing data solutions to the AECO Industries.

So at a high level, a typical, let's say, design/bid/build, or design-build, or IP business model, it has different processes illustrating different phases. And some of these phases might combine, or shift, depending on what those business models are. I understand that. This is not all perfect, right? Some of these get merged.

We would agree that most of these phases have siloed software systems and data that's really not connected. It's not shared. It's not being tracked. So everything looks so clean until we layer on what is really happening between all these workflows and processes, right?

I love how it just comes in and starts hammering this, right? Because I think some of us feel that, right? So now, we see all this communication, right, the design data, the collaboration, that's needed to drive these workflows and processes from the design team, to bidding phase, the planning phase, to construction documentation, to materials being ordered, to constructability phase, to construction phase-- does it ever end-- to prefab phase and, finally, to deliver phase for the finish line. So a lot going on, right?

So this is where, really, over in the construction business, this is where we start need to think about bringing manufacturing and data management processes to, really, bring all the siloed software systems together, something that the manufacturing industry has been doing now for the last 30 years. Connecting these siloed software systems in the manufacturing industry, really, is a tried and true process. It can be adopted to the construction industry.

What I'm showing you today is something that we already do, right, that's already happening in the manufacturing. We just need to bring some of these processes across. So surrounding this data management is supply chain management, new product or project introduction, change management, quality management system, and bills of materials. So, really, having a connected data management system helps companies reuse, modify, track, and search all of their data.

So these types of activities from a manufacturer perspective are a way to introduce a new product. Or think about a product that's already in there. Now, we're looking at a new feature to an existing product.

The example would be, let's say, a head wall for a hospital room. Most are being preassembled today, but might not be considered really a product. We can begin to analyze that type of assembled wall system to create a new product, and then create the types of documents that are required to assemble it.

I'm sure people in this room have done this before, and I'm sure there were lessons learned. So starting today, we could start to gather all that data and knowledge which, sadly, we know is not happening and is scattered, typically, everywhere. Think of it as a file folder and being able to organize everything related to a product, including how you might introduce that to the market.

From a supply chain standpoint, you can now show that types-- show the types of products that you have and have certain inputs already configured, hence, pre-engineered, ready to go for a general contractor, for bidding or cost purposes. This is what we mean by bringing certainty and productivity to this timeline and process. Change management is also a big piece.

At the end of the project, you could never identify who was liable for what. Was it a change from us, an owner, an architect, another subcontractor? This gives us the ability to start tracking who is the owner of that change.

Might be something you might want to get a handle on. Change management will do that for us. And lastly, being able to gather information from the field and would be a big plus, right, adding the data from fabrication, or superintendents, or installers, or MEP field staff, to help them with tracking issues and errors, and developing new and then better products, and better solutions.

So reinstating what was shown before, Autodesk Construction Cloud offers, really, a really robust ecosystem. It's really the CDE, right, for teams to integrate their software and streamline the workflows. So in the beauty, and like I mentioned before, there's 200 native integrations to other construction applications.

And these are typically either done through partner cards, or APIs, or Autodesk Forge, or Workato, or Jitterbit, right? Those are the custom workflows that can be brought in to get these things connected to each other. And then don't forget about the manufacturing side, right?

We've got Fusion 360. We're talking about Autodesk Construction Cloud, but Fusion 360 on the manufacturing side, they use Jitterbit, and it offers the same types of workflow. So all of this can start being connected and interconnected.

And using these middleware cloud tools can help connect hundreds of different software applications together. I mean, each list-- I think, every lease, that list gets updated every month. More and more companies are starting to realize this. And any one of you can start utilizing these solutions to complete, really, a complex business data management solution.

I think, really, at the end of the day, the life cycle data management process, this is critical. This process includes a collection of business processes used to plan, define, build, support, and improve those products and services. Really, at the end of the day, if you talk to a manufacturer, this is really the lifeblood of their company and directly impacts their growth and profitability.

The same thing can be happening over in the AECO side. Of course, the data lifecycle management, nearly everyone in the enterprise, including external customers, suppliers, and partners, play a distinct role in this. It's impossible to overstate the importance of these processes to the overall health of a company.

So let's look at another example of this convergence, and let's look at BIM solutions to manufacture owners. So this is what we call integrated factory modeling. It's really becoming a standard, like, Digital Twin or Industry 4.0. It is a base, or a foundation, for clients who need to digitize their production and their factory.

With an integrated factory model, you can take the next step in complexity. It's whether it's virtual commissioning, or digitizing your production line, all of that can be done after this first step, and that's integrated factory modeling. That's your first step.

We need an integrated data platform that allows continuous steps, or sprints, and all this along the factory lifecycle. Look at all the different players. I mean, this is kind of a hot mess at sitting down with a manufacturer that owns their factories.

This is a little bit of a hot mess. And this is, I think, a really good slide that kind of shows that you look at that last slide, and then you add the communication on top of this, there's a lot of teams that need to be in the know when something needs to be updated or modify it when it comes to the production line or, really, the factory itself. We are all familiar with communication by email, which we exchange data using a wide variety of tools, or to put it negatively, push it back and forth between all of us.

The tractability of that data reaches its limits pretty quick. And as we all know, pretty sure errors are going to happen fairly quickly after that. So in factory planning, a wide variety of trades must be coordinated, and all the people involved must be supplied with the latest data.

With production, planning, media supply-- now, that's being like ventilation, lighting, water, electricity-- that goes back to the fluids going in and out of the building, right? And all course of the building planning, we see only a small piece of the parties that are involved. But we can all start understanding how this convergence of all these things that I mentioned earlier are coming into play, which gets us back to where we originally started.

The layout designer can see-- can create their layout and factory design utilities in Inventor, import and export models between Revit and Inventor. That's really gotten very clean and much better in the last releases. Both models can be managed in Vault.

And the Revit project is synchronized in Vault with the Autodesk Construction Cloud. This creates a cloud-based one source of truth model that all project stakeholders can access at any time. Again, the one source of truth.

This next image shows the progression of taking a point cloud scan and then creating a Revit model. I'm sure quite a few of you in this room have done this, doing this today. More of you are adding to this, right?

Using Autodesk Construction Cloud, internal staff and external AEC firm can then start to populate the model with additional detail that mimics what is happening in the factory today. What does that factory look like today from that data being able to extract the data to reports, dashboards and, of course, to mobile devices. All of that data collection from the field, while updating the data in the data lake, along with the BIM models.

The ability to track data as internal or external teams as they make changes, being able to check those changes against our BIM standards and guidelines, and then having a dashboard, or report, to show where those issues are happening, and how they need to be resolved. All of this is, again, being interconnected and in real time. These are happening today.

So along with that, of course, there's many benefits for an integrated factory modeling BIM process. Coordinating and sharing information between design teams, being internal or external, reducing errors and rework, breaking down the data silos, setting those BIM standards and guidelines, this creates the foundation to bring additional data like IoT and asset management into the integrated factory modeling process.

This one source of truth foundation is always being updated in real time. And then by adding a GIS into the mix, we can start thinking about surrounding infrastructure, bringing additional data to this foundation. As mentioned before, this helps companies establish BIM standards and guidelines, just like airports and hospitals do today.

You know, when their building needs to be updated, they're coordinating all of that with their BIM models. Without these standards and guidelines, then the model and the data becomes just a wild, wild West and, ultimately, breaks the one source of truth foundation. So, again, it's really hindered about using BIM standards and guidelines when you're doing all of this.

So let's look at one last conversion, one real convergence, about focusing on automation platforms that are changing fabrication workflows. So let's walk through this diagram. On the left side is a building product manufacturer, or a self-performing contractor that's created products of their assemblies.

Let's use system hangers as an example. Using a web-based configurator that's established on their website, it's fully searchable by using Google, architects and engineers can find this robust hanger systems so they can use them for their Revit projects. Now, they could use a simple, simple to use interface, they could easily find all the unique Revit family types, and put them into a cart system to easily download exactly what they need for their project.

The architect and engineer that imports those families into a project to start placing them where they need it. The bonus, really, for the BPM and the self-performing contractors, their products are now being specked on the project. In a future state, if a building project manufacturer or self-performing contractor has a close relationship with an architect or an engineer, they could request the Revit model and start using it as a digital take-off and automate the process for manufacturing.

The key piece of this workflow is the Revit families, are lightweight in file size, only use the parameters that are truly needed. The architect and engineer has exactly what they need, instead downloading a huge zip file and going through this whole drudgery of searching through, who knows, hundreds of families, really wasting everybody's time.

This workflow really impacts many different people for the better because it brings certainty and productivity. The current processes have been manual and broken for the last 20 years. It's time for a change. And the new future, we might even look at how to automate the layouts of the hangars in a project to help order, processing, shipping, and placing the correct palettes in the right location within the building when delivered.

So looking at the technology side, you can see that Autodesk Forge is part of the platform technology. Autodesk Forge offers everyone the automation piece. For Team D3 offers us the platform to automate the creation of the part models for manufacturing purposes, automation to create the Revit families, automation for the bills of materials, the automation for creating the shop drawings and, finally, the automation for the user documentation. Again, all this helps bring certainty to everyone involved in the AECO Industries.

Now, I have to, of course, show an example of how not to do it, right? This is a 12 meg-- remember the family hangar. It's got 184 instant base parameters. This is really a total nightmare for scheduling, or even trying to match two hangers to each other to be the same.

Unfortunately, this is not unique in the building manufacturing industry so-- but we all know we can fix this, right? And I think as this convergence continues, as building product manufacturers come into play, as self-performing contractors start to do more, or start thinking more about products like a manufacturer, I think a lot of this will go away. As mentioned before, the web-based configurator is a template.

It has inputs, it's rule-based, has constraints, define the hanger product. Everything is pre-engineered, hence, all the analysis is being heat, cold, structure, specification, cost. Those things are all done. There's no such thing as an estimate.

This hanger costs this much. And then not all, but maybe some of this data, is loaded into the Revit family for, again, purposes downwind from this, for fabrication or for manufacturing. But that can be loaded in your project, and then that can be fed out from there.

So just to give you an example, just talking about this platform for a little bit, let me just show you a video of some of the solutions that we've done. So jumping in, what we're seeing here is an example of a rule-based configurator for a tank. If someone changes the rules, the visual of the tank automatically updates.

Once the design is neat, is satisfied, it automatically produces the shop drawings. As mentioned before, this is using Autodesk Forge in Inventor to produce the part models for manufacturing purposes. It's all CAD neutral, so it can work with other CAD platforms when needed.

Here's an example of whopping 30 lines of code to develop the shop drawings. Our platform works with other solutions when needed. Obviously, we're Autodesk-centric, but wanted a platform that could work with other design software.

Everyone's looking for automation these days to help in fill in gaps, help relieve staff from manual tasks, and get those tasks done faster. So we can either float down the river relaxing, or have a fruity drink at the pool, or the lake, and our dinosaur, too, right? That would be cool.

So, again, looking at some of the benefits, you know, BIM models can now be used for building product manufacturing and self-performing contractors for digital takeoffs to automate and drive manufacturing processes. That's happening today. Automation tools help BPMs and fabricators build BIM ready models for architects and engineers, and construction professionals, to start using those in their Revit models.

This helps BIM building product manufacturers and fabricators get their product spec done BIM products. So those are added bonuses, right? But everybody's got certainty because those are all been pre-engineered, right?

And then automation kicks in, right, automation to create all the needed models for fabrication, or manufacturing, all the bills of materials are thought out. So we can think about supply chain purposes.

All the shop drawings are ready, so if we need to have those things down on the shop floor we have those available to us. This is all just a real big game changer for the AECO Industries.

I want to thank everybody. I hope you enjoyed what you saw today, you learned a few new things. The bonus of all this technology lives today. It's just taking advantage of this and building a strategy and start moving forward. Thanks, everybody.

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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

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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。