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Create an automated 3D Catalogue leveraging Forge, Inventor and Vault

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Description

Manufacturing companies have a headache about visualising their designs. They need to revise their printed catalogues as their designs get changed. What if there is an automated way to overcome this obstacle? In this class, we will be presenting you solution to have a fully automated 3d catalogue using Autodesk Vault, Inventor and Forge. Learn how to leverage Robotic Process Automation to create dynamic data on your own website.

Key Learnings

  • Learn the Forge workflows for visualisation
  • Understand your options about data sharing
  • Create a simple viewer on your website
  • Learn about Vault API, Forge Viewer API and Model Derivative API

Speaker

  • Avatar for Hickiran Tolgay
    Hickiran Tolgay
    System Enthusiast, 3rd party programmer, Industrial Engineer, Improvement Leader. Tolgay finished his bachelor as an Industrial Systems Engineer and did his double major on Business Administration at Izmir University of Economics Turkey. Then he went on doing his MSc in the UK at King's College London. He loves to eliminate waste from processes and works to optimize office productivity. He managed Autodesk Vault at Electron. Tolgay and his colleagues done two AU speeches in Istanbul, one in London and one in Dubai also got accepted to AU Vegas 2017 about Design Automation. Autodesk Turkey made their success story as we've managed to use iLogic extensively. Now they are working on the entire workflow of project firms, from sales to installation. Tolgay and his team earned Forge Hackathon 2020 for the "Best Visualization App" with Cemer Playground Equipment project, his team also got Jury's Award on Forge Hackathon 2021 with their Configurator Integration project with Kingsley Composites UK.
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Transcript

TOLGAY HICKIRAN: Hello, guys. This is Tolgay. Today I'm going to be presenting you, Create an Automated 3D Catalog Leveraging Forge, Inventor, and Vault. You can check me out in LinkedIn. I'm a frequent poster about Autodesk and Unity, basically. This is my third time presenting at Autodesk University. And I presented a couple of times in extensions as well.

[INAUDIBLE] Codeo basically started off as two people, Kivanc and myself. Kivanc is a mechanical engineer, and I'm an industrial engineer. We are both Autodesk expert elites. We mainly focus on Autodesk products, and creating actually third party software for Autodesk products, leveraging mainly Autodesk Inventor, Autodesk Vault, and Autodesk Forge. Kivanc mostly works on the design side, the design automation, and the sales automation side. And myself is working on third party software creation, user experiences, and UI design-- automations and databases as well.

So we partner with a couple of companies. The biggest one is obviously Autodesk. We are an Authorized Developer for Autodesk and Academic Partner for Autodesk, a Services Marketplace Provider for Autodesk, and an Independent Software Vendor for Autodesk. We obviously have an independent software being developed right now, called Autocase. This is going to be based on Inventor OEM. We are also a training center and then reseller for Unity. I am actually a Unity Certified Instructor, and an Autodesk Certified instructor as well. So we do training in these products.

We do have a couple more, like Sketchfab. Actually, all these partnerships work for the thing called configurator. So Codeo actually makes configurators-- a lot of configurators. You can find examples in our website. And we are also a testing center for Autodesk products, like the user certification and the professional certification. So our main products are our configurators, training, software sales, and we also do engineering services like consultancy services and simulation services, especially on Autodesk CFT.

We do have a lot of European customers. We are situated in Turkey. And then we are focusing on the EMEA region obviously. Most of the time it's the UK.

We are situated in the first steps of industry 4.0, and we call this the step 01 one and 02. And this actually starts with sales automation and configurations. So we tend to be on the data generation side rather than the actual physical automation side.

So what brings us today here? Let's talk about the problem definition. We are going to talk about the 3D catalogs that we can create with Autodesk products, and actual 3D catalogs with Autodesk Forge Weaver. The problem comes along in two steps.

The first problem that we have, is the revisions. Revisions actually happen all the time. Designs get changed. New colors are added. Things change. Materials change. The list continues. It goes on forever, basically.

So does this propagate into catalogs? No, because our catalogs are mostly 2D and pressed. They're actually created with different software, like Adobe products, et cetera. And they are very static. So the biggest problem we have is doing a revision on an assembly that we have.

The second problem comes up, where the CAD data is there, but not really useful for sales. There is a lot of information in the CAD data, a lot of metadata that we have to work on. But the sales doesn't really need it. Creating 3D visualization takes time and effort. All the time, we need to use some type of a stack, where we have to create a usable 3D data for visualization, for let's say, Lumion or Unity or something else. We need to do a lot of pre-work.

And it's always, always, always harder to convince the customer with only pictures. Right? We are at a stage where the customer wants more. They want augmented reality. They want virtual reality. And you're trying to sell your products in 2D pictures, basically. It is going to be very hard. To keep up with the competition, you need to think from somewhere else. So the static visualization is becoming more and more obsolete. We are going to see static visualization less over time now. And I think-- this is obviously personal-- it is going to be an exponentially increasing process going through the 2D to 3D revolution in visualization.

So how can we solve these problems? We have a couple of obviously current solutions in the market. These are just one of the few that are found on the internet. One of them is called CADenas. CADenas has a solution where you can put your parts in, and visualize them on the web browser. Basically, this is one of the examples. Their tool, called Tool Architect. You can check from the website. You can obviously visualize your parts, visualize your assemblies, make some differences inside, check the dimensions, as well as also getting some screenshots.

Traceparts is another one. These are very well known and very long timed catalog sites, that we can find over Google, over the internet, et cetera. Traceparts is very well known. As can see, you can get dimensions. You can basically look and feel, and check how it looks like over the internet. So this gives a type of edge for the people that are using the website. We are selling a product and we can show the product in 3D over our website, basically.

So how can we solve the same problem with Autodesk products? Well, the solution is Forge. Forge has more than eight different APIs that we can use. These are called design automation, data management API, model derivative API, behavior API, BIM 360 API. Now it's coming like Civil 3D API. And there's going to be more APIs over time.

This is where we are starting the custom solution revolution, let's say. Because more and more companies want to create their own custom solutions. And Forge is a very, very nice way to start from. Because we already are experts on Inventor, experts on Revit, experts on Macs, whatever software we are using. And Autodesk gave us the ability to create, with these APIs, basically on the internet, which is-- it's amazing. You can build whatever you want.

So when our customer came to us and asked for a 3D catalog, we came to a conclusion. And we said to ourselves, why not? Let's create a catalog in Forge. So the first approach to the problem started from one of our customers. They came to us and they asked, how can we achieve this? How can we create a 3D catalog that's living? That's not static, that is living? This is the key part. It needs to live.

So most of the manufacturers' workflow looks similar to this. We use CAD software to create the design. We use the PDM software to store the design, revise, create version controls, et cetera. We use some type of a visualization modeling software and a visualization software. These can be the same. But these can be different, also. Because we need to create some type of a model that could be rendered, and then we need to render. So these can be different.

In our case, most of the time when we are working in Autodesk space, this is what we see. Right? We see the design with Autodesk Inventor. We see the documentation, the PDM system with Autodesk Vault. Most of the time, and so obviously, Autodesk Vault Professional, not Basic. For the design visualization model, [INAUDIBLE] we most of the time see 3ds Max, because it's paired with Inventor. And next stop, is obviously because of its ease of use, we tend to see Vray and Lumion after Max.

So this is a basic stack of how manufacturers work. And obviously, while working in the stack, you lose some information, coming from Inventor to Vault, to Vault to Max, to Max to Vray and Lumion. So there is not really a fluid, and an automated process from one side to the other. Obviously Inventor, Vault is much more automated. But from Vault to Max, that's not really an automation that we can talk about, because we need to do a lot of different stuff after grabbing the model itself.

So when the customer approached us, we said to ourselves, OK. We should be starting from somewhere. But we shouldn't only look for our own solution. We should actually really understand the customer. What are they doing? They were already our customers. So we knew a lot of stuff about them.

Cemer Playground Equipment is one of the bigger playground manufacturers in the world. 50,000 meters square closed space, 50,000 more in open space, so it's a very, very big factory with nine different buildings, and with seven different production types. They do produce wood. They do produce plastic, metal, sheet metal. You can basically find all the different types of manufacturing, even 3D printing.

So we decided to take a look at all the actual process there. So for four weeks, which took us four working days, we actually created a report and presented our solution to our customer. So the solution looks like this. We always, always, always look for a central approach in these type of projects. So we need to put the data at the center, basically. Because if you have a workflow that has very many areas, you need to be making sure that all the data that is inside of your workflow, needs to be the exact same thing.

Most of the time, when you're trying to create a catalog, this is not the case. You have your catalog two revisions before. And you've actually changed a lot of stuff in your Inventor model. What tends to happen is, that the salesperson sells the two-revisions-before before item to whatever customer they're going for. And for example, something actually really, really got changed. So it adds a negative value when you are trying to manufacture the exact same old system that you're going for in an assembly.

So we need to make sure-- this is the first item. We need to make sure that we are going for a datacenter approach. 3D CAD documents were already created with Autodesk Inventor. This could be the case for any other CAD application. So there is a 3D based platform, already maintained. All the documents are actually being maintained with Autodesk Vault. This is also another very nice addition. Because going for a solution like this, you need to make sure that something has to be at the center.

And Vault is the perfect candidate here, because that is the actual database that we can go for. Because all the revisions are taken care of Autodesk Vault. We can also leverage this technology as well. So after a very, very good consideration, we decided to go for a new workflow. Vault at the center.

We do our design, we do our revisions, and do our check-ins from Autodesk Inventor. Vault takes care of creating the DWF files, version control, automatic and manual trigger for the catalog. So we said we are going to create a third party-- not one but two third parties, one for Vault, one for Windows, to take care of all the data managed in the Vault. Basically there is only one way to go back, which is from Vault to Inventor and Inventor to Vault. But otherwise, it's a very lean approach.

So after Vault, we can export the DWFs, the PDFs of the assembly items-- the playground assemblies basically-- the renders of the items. And then take all of them, rename them in a smart sense, and actually automatically upload it to the Forge regularly, depending on what the customer wants. Like, how frequent the customer changes their revisions, basically.

After our third parties, Autodesk Forge takes care of the cloud space. So it's our actual second database. And then model derivative, if need be, takes care of the automated changes that needs to be done on the website. And we are also using the [INAUDIBLE]. And as you may or may not know, Autodesk Forge also takes care of version control. So this is perfect for us.

After this, the Cemer's website has an automated check from our Autodesk Forge cloud space. It has an embedded viewer. It has a 3D catalog and a website. So this is what we offered to the customer. And then we started obviously developing the software.

This is one of the software that we developed, uploader for Windows. As you can see, we can check all the buckets that we have from Autodesk Forge. And we can also upload, download, et cetera. So we can do a lot of things. This is show bucket contents. We can create a bucket from here, as you can see. We can have very many buckets in Forge, as you may or may not know. So we can create a bucket. We can delete a bucket.

We have the ability to automatically upload at any point in the day, or throughout the day. Or we can also do a manual upload. This is obviously again up to us. You might ask, why do you want to automatically upload this? Well, the customer might not want to have some type of an uploading operation during their work time. So this is why we are basically doing an automatic upload, for example, every day at 8:00 PM, when no one is at the office.

We can also see the list of the uploaded items. Whether they're uploaded OK or not, whether there was a shortage of electricity, et cetera. Is everything OK? Because this is very crucial. We are trying to get the most recent data possible to Autodesk Forge, all the time. Because we want to have a living 3D catalog.

And our second third party development was in Autodesk Vault, actually. So this is a very, very small add-in that we created. What it does, it just takes care of all the render files, all the PDFs, all the main assembly DWFs, and it renames everything according to the main assembly. So basically we are using some type of a smart coding system to take all the necessary files related with a catalog-- meaning could be renders, could be safety PDFs, could be a lot of different stuff. We are going to show a couple of examples, anyway. And these are automatically exported to the auto uploading folder.

So the user-- the designer-- it might be a designer. It might be the CAD administrator. In this case, it is the visualization person-- automatically exports all the necessary files regarding with that assembly. The use languages are-- for the auto uploader, it's basically C#.NET, NET Core, Autodesk Forge Model Derivative API, and data management API. So for the uploader, we are using these APIs. For the preparation add-in for Autodesk Vault, we are using C#.NET and Vault API Web Services. So basically we created these two different items to create this automatic 3D catalog system. Let's see the end result.

So here is Cemer's new website, published around four, five months ago. And all the products over here are automatically uploaded from our third party. We have the filter system. You can filter out all the activities if you want to. It's like hanging, interactions, pushing, sliding, pulling, et cetera. You can apply a filter. You can also apply a age filter, or a fall height. And then you can open up any assembly you want.

As you can see, there are renders of the product. There is also the other documentation, technical information, which is a PDF. That's coming from Vault. And also downloadable DWGs coming from Vault again. But this is the nicest part of course. You can obviously see all the 3D data inside your website, with proper coloring, proper texturing. This is all because of Autodesk Forge.

And maybe you can also see, some of the options are not available for the customer at the moment. It's because that we are limiting the user's interactions inside Autodesk Forge Viva. They are giving some of the options, like measuring, and list of the bill of materials, to rather super-users, rather than a random person that's coming to the website. This is kind of a security measure that we created for our own customers. We don't want the end user to get filled with a lot of information, anyway. Because as you can see, these assemblies have a lot of parts. More of the time, it's above 1 K range. So a playground manufacturer assembly takes around more than 1,000 parts, basically.

So what happened in the end? What's the conclusion? Comparing it to the old versus new, we had very many static images in our catalogs. Actually, only static images. We might have some animations created, but they were also static because they're not interactive. We had revised content almost always stay old. Because then you actually create a catalog. Maybe two days after, some random design gets revised, because a company like Cemer has more than 800 big designs, that is end product type of designs. I'm not even talking about subassemblies. You can imagine a lot of subassemblies are also created in this type of factories.

So old content gets sold, creates a ton of problems. Imagine you're the salesperson going to a potential customer-- potential lead-- and then the lead actually selects an item that is the old revision. And they actually say, I really want this item. This happens all the time, by the way. So you can actually feel the pain.

Catalog content is manually created, so you need to manually create the catalogs. This is rather a dull and a non-value adding operation. I'm an industrial engineer and I really hate these type of processes. These are called muda. These are called muda in Japanese. We need to remove all the muda from our operations.

So what about the new system? So we have an interactive catalog. We can do all the stuff that we want inside the interactive catalog. We can also add color changes if you want to. We can create a configurator out of it. This is a bit of an easier version that we created, let's say, that you're seeing. But it is very, very handy, as you can see. It's all automated.

Revisions propagate seamlessly. All the revisions get done after Autodesk Vault. So basically, you're almost 100% sure that your Autodesk Vault has a digital twin on Autodesk Forge. Content is always recent, right? It's always, always recent, and this is the idea of creating a 3D catalog. This is the second idea, let's say. The first idea is obviously creating an interactive 3D catalog.

Aftersales orders are easier with data management API. This is also very crucial. All the single time, when you're manufacturing for all over the world-- Cemer has 65 countries that work with them. So all the time when you're trying to get an aftersales order for a subassembly for a part that's broken down, et cetera, it's always hard. But with a viewer like this, every single part is in the bomb list. So aftersales doesn't have much time creating an order, because they all know the exact same part number, which is very, very nice in this case.

So what's next? From here, we need to create extended reality applications, whether it's augmented reality, whether it's virtual reality. We can create different approaches here. Our actual next approach is to create an automated augmented reality version of the Forge catalog. This is in the works. And we are also going to create a VR application for park creation. Basically one for the end user, one for the sales.

So as you can see, by using Forge, you can create not only for the design but for the sales, for the marketing, for the production, every single place, actually-- for the installation as well. This was a great time for us. Thanks for joining, guys. Thanks for listening to the presentation. I'll be taking all the questions on 7th of October. Thank you and see you soon.

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We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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