AU Class
AU Class
class - AU

Optimizing Your Business Around Industrialized Construction

Share this class

Description

The construction industry is changing. Skilled labor is in short supply and increasingly hard to find. Contractors are becoming more specialized. Productivity across the entire process has become a larger focus. One’s carbon footprint is being factored into operational strategy. And by 2050, we’ll have 2.5 billion more people living in cities. 
 
These trends call for a new way of designing and building — to help make increasingly complex projects, less complex and shift the industry from a “project” mindset to a “product” mindset. This shift will help make the architectural design process more efficient, allow subcontractors to you start fabrication faster, respond to bids sooner, spend less time creating manufacturing related digital documentation, and standardize/scale their overall ability to produce predicable work. 
 
In this session, Autodesk's top thought leaders in Industrialized Construction will talk about how to successfully shift a business to align with these new developing industry trends.

Key Learnings

  • How to transform a business that can adapt to industrialized construction models that are impacting the industry.
  • How informed design and productization can produce an outcome-based conversation between designers and manufacturers.
  • How essential data can pass through the entire connected construction process from design to handoff.
  • How to take action on the future and research and work on the solutions that are beyond what's possible today.

Speakers

  • Mike Haley
    Mike leads the Emerging Products & Technology team at Autodesk where they identify, evaluate and develop disruptive technologies that improve the practice of imagining, designing and creating a better world. His team combines research, development and user-experience in coupled iterative cycles to develop new products and foundational technology. For the last several years Mike’s team has been focused on bringing geometric shape-analysis and large scale machine-learning techniques to 3D design information with the intent to make software a true partner in the design process.
  • Avatar for Ryan McMahon
    Ryan McMahon
    Ryan is a veteran of the manufacturing and design industry, bringing more than 25 years of experience delivering products across the medical device, IT, and high-performance computing industries. As General Manager, Manufacturing Informed Design at Autodesk, he leads a team that develops new solutions to bring manufacturing information into the design process enabling Industrialized Construction and bringing manufacturing means and methods to construction. Ryan holds three patents related to the healthcare field. His educational background includes a B.S. in Electrical Engineering and an MBA.
  • Avatar for Tiffany Bachmeier
    Tiffany Bachmeier
    Tiffany Bachmeier leads an amazing global team of brilliant consultants focused on automotive, manufacturing, advanced manufacturing, and media & entertainment solutions. She has a strong passion for the convergence of methodologies across all industry segments and is excited to see the transformation that it is enabling. Before management, her primary focus was as a technical consultant for AutoCAD Electrical, but she also focused on AutoCAD, Inventor, and a variety of other products in the Autodesk family. She is an Autodesk Certified Instructor and she (and team) has won awards for developing a full line of online, live, instructor-led training classes for the Autodesk manufacturing products. Before becoming a consultant she earned her bachelor’s degree from Michigan State University (MSU) and she worked in many different industries gaining valuable knowledge and experience, including electrical engineering, interior design/architecture, mechanical engineering, and software engineering, and she was part of MSU’s CAD Development Team. She started on AutoCAD R10 and has carried a strong passion for Autodesk products ever since.
  • Avatar for Allison Scott
    Allison Scott
    As a “technology translator” and seasoned innovation manager, Alli leads construction thought leadership and customer marketing worldwide as a part of the Autodesk Construction Solutions team, helping customers to harness the power of innovation and activate customer success into powerful stories that transform the way we design, build and operate. Prior to this role, she supported the national Innovation group of Skanska USA's construction division helping to investigate and integrate game-changing tech like virtual design and construction technologies, wearables, IoT/sensors, and drones onto the jobsite. Alli cultivated her career working in disruptive technology as a go-to-market specialist for renowned inventor and futurist Ray Kurzweil, and spent six years in architecture, where she shaped niche services for energy-efficient data center design during the advent of cloud computing. Alli holds a BA in Theatre and Arts Management from Emerson College and an MBA in Innovation and Design Management from Suffolk University’s Sawyer Business School.
Video Player is loading.
Current Time 0:00
Duration 59:31
Loaded: 0.28%
Stream Type LIVE
Remaining Time 59:31
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

AMY MARKS: Hello, and welcome to Autodesk University. We are so excited to have you here today to talk about optimizing your business around industrialized construction. I am joined by some of my amazing colleagues that I will introduce you to shortly. And thank you so much for joining us here today.

A little bit about me, I'm the vise president of industrialized construction strategy and evangelism. Most of you know me as the queen of prefab. And we're going to talk about some amazing ways that Autodesk can help you on your journey for industrialized construction today.

So what is industrialized construction? Many of you have seen us talk about the house that industrialized construction built. It's not just about the physical pieces and parts, but also about foundational enablers, like technology and process, things like the internet of things, big data and analytics.

As we think about buildings in the future that are going to be autonomous, and sensors that make digital twin a reality, and also the way in which we're able to access information on the cloud, which we definitely know from the last couple of years here during the pandemic how important those things are.

Those are very important to the industrialized construction strategy as we think about buildings as broken down components, instead of just one offs every time, that we want to get information from. Also, we have our process enablers like lean manufacturing and building information modeling. We want to inform that I with more intelligence, and build upon the amazing data that we already have in the Revit environment today.

Many of you have seen me talk about DfMA And in the past, I would say Design For Manufacturing and Assembly. But we've evolved that thinking to start saying Data For Manufacturing and Assembly to make sure that our designs are informed with data for the manufacturing process, as well as other data, like sustainability information, and anything you might want to provide insights about how things are made to inform your design.

Then on the upper left, you'll see the prefabrication continuum, things like advanced building products that come right from manufacturers that reduce drying time, curing time, hot work, anything that makes things easier on the job site you can buy from manufacturers, single trade assemblies, multi-trade assemblies that have-- the name describes multi-trades within that component, and then volumetric modular.

Which is, there's no hierarchy. It's really more like a kit of parts. And those parts, we're going to talk about how they evolve from prefabricated pieces and parts to prioritization, where eventually the word will be saying is manufactured product. And so that's the physicality of this.

And we want that data that informs design to include advanced building methodologies like robotics and automation, as well as additive manufacturing. Because we don't just want to make things by hand. We want to automate them and use the latest and greatest technology, and machinery, and tooling, to create these buildings in the built environment.

So why is this happening right now? Why are we here talking about industrialized construction? Well, technology has changed. This is no longer just my phone. It's converged. It's now my phone, it's my babysitter, it's my entertainment, it's my matchmaker maybe, it's my map so I know where I'm going in life.

Process has actually converged. And we're seeing design, make, and operate. Those processes not just need to be connected, but they really need to inform one another. So industries have really converged. And that's why we're seeing industrialized construction come to the forefront of many of our customers conversations.

Because ultimately their business models have already changed. We know that, we hear you. We know you're not just working within the silo of just design, or just construction, or just as an owner, or just a manufacturer, but we know that this is converging across the silos, and those walls are breaking down. So that we have to understand how to enable better things for you and your new business model.

I'll tell you that we talk a lot about change here in my group at industrialized construction, and also throughout Autodesk. And I'll tell you that you need to understand that change happens first when you're dissatisfied with how the way things are now.

Hopefully at Autodesk University, I know we are showing you a vision for what's possible. And we want to give you some first concrete steps of action, because you'll need all that to overcome resistance, as Dan Miller taught us. And so you'll hear us talk a little bit about transforming your companies, and we work within this framework of transformation.

And if you follow the Watch Now portion of Autodesk University, you'll see me go through this again as I talk about from prefabrication to prioritization that we don't just need outcomes for what we want to achieve, but we need a strategy on how to get there. And there are foundational things that are so important that if you skip over, you won't be able to achieve that.

And then prioritization, as that Watch Now presentation will show you, all the way up from digitization, connection, optimization, and ultimately circularity, because digital waste ultimately leads to physical waste. So we want to think about how we can reuse everything, not just for environmental, but for our process, for our industry and our ecosystem of industries, to make sure we can be the best we can be.

So how can Autodesk help you as a partner on this journey? We know that this is a partnership that makes this most valuable. So let me introduce some of the most amazing people. If you want to read their bios in totality in the handout for this session, I won't go too into it, because I think you'll be able to read it for yourself.

But we're going to be talking with Ryan McMahon, Director of Product for Industrialized Construction, somebody I'm lucky enough to work with every day on these types of things. And we'll also work with Allison Scott, one of the amazing thought leaders and also Director of Construction Thought Leadership and Customer Marketing here at Autodesk.

Tiffany Bachmeier, I am lucky as well to work with all of these people. She and I work very closely as the Director of Global M&E and Advanced Manufacturing. She'll talk to you about our convergence consulting team and how they can support you.

And last and certainly not least, when we want to talk about the future and what is possible, there's no one better than Mike Haley, our Vice President of Research. So with that, I'm going to hand this off so that these wonderful people can tell you how we can help you through your industrialized construction journey in these areas. First, I'll hand it off to Ryan McMahon.

RYAN MCMAHON: Thank you, Amy, great introduction. I'm excited to talk about this. Can we move to the next slide, please? So I want to touch in a little bit more detail in some of the concepts that Amy mentioned in the introduction there. When we talk about data for manufacturing and assembly, we really need to help our customers develop the data that represents what they make, and how it can be modified, and how it's produced.

It's much more than just what the physical representation is in the design, and how it's consumed and designed. This data defines what the construction product is, that the trades produce in support of many different projects. Not just bespoke things that are prefabricated and included in one building, but how do they support many of the similar things that are provided to many different building projects they work with?

And it's also used to inform building design. This is why DfMA is often misunderstood. So with that, productization is really more than what you make and ship. It's about how you operate your business, how you scale it across many customers and many projects, and how do you implement and optimize your processes to support them all?

By defining construction products, companies can borrow means and methods for manufacturing to optimize their processes, material use, and quality, and be more responsible or-- responsible-- more responsive and deliver faster to their customers. These dynamic construction products really can then be shared with architects to inform their design choices at the beginning of the process, so that they know these things can actually be made.

AMY MARKS: Sorry.

RYAN MCMAHON: [LAUGHS] No worries. So when you use these during the design process, prioritization improves, accelerates many of the processes, and improves certainty of their delivery. The designer knows during the design process that what they're specifying and customizing is actually feasible and manufacturable. That's really the key benefit of this dynamic content.

And lastly, it frees them up to spend more time working on the activities that really do require design and custom work, like the functionality or the aesthetics of a particular building. And then the last slide here, Autodesk delivers robust manufacturing capabilities that our construction customers should adopt to get started with productization and manufacturing methods.

And we're building the capabilities that help connect fabrication with design to deliver this informed design processes. And we will digitally connect design, make and assemble, and operate processes to streamline your workflows. So with that, I will hand it off.

AMY MARKS: Alison Scott, help us connecting design, construction, and design making, please.

ALLISON SCOTT: Thank you so much, Amy. And thanks Ryan for setting us up there on understanding what is informed design. So in our world we talk a lot about what is connected construction. And, now, the power of connected construction, does it live within this conceptual box of construction administration, or construction management, as a phase alone?

It's real power is when we amplify and leverage the data, the geometry that's coming from that informed design process that's coming from planning, that's coming from the productization process as Ryan was describing. And we're putting it to work in the construction phase so that we're getting better outcomes.

And we're also looking for more predictability throughout that lifecycle. So making a building is kind of like the ultimate group project. I mean, everyone has to bring their best attitude to the table, their best skills to the table. Folks are assigned different parts of the project.

But if certain team members are working off of an outline that's two weeks old, or they didn't get to weigh in on something that was part of a project that impacts their piece of the pie, then soon enough all of those pieces are not going to work together. This is the reality that we deal with right now, day-to-day, in the design and making, in the design and construction process.

So what connected construction is really doing is helping to reduce these miscommunications. It's connecting the dots in a more seamless way so that we can create an even playing field for people to have access to what they need, when they need it, and have their work informed by earlier steps in the process.

So, ultimately, if you can go to the next slide there Amy-- connected construction is truly about minimizing the risks and using automation on how information is shared and so that we can eliminate the duplication of tasks. That's a lot of what Ryan was just talking about is how are we beginning to streamline this data, pull together and productize it, and create more predictability.

This process is also powered by an integrated and connected platform. And this is really important. We want that information to be shared. We want it to be connected. We want it to be updated once, instead of toggling between systems. Instead of having the human error of data missing, we want to minimize that data loss. And we want to save time and resources in the process.

So by connecting tools and data, we can also share across teams. We create this centralized hub with project information, increasing the quality and the efficiency of the project ahead. So we do begin to see these kinds of outcomes that Hung is starting to talk about here on this slide, where we're getting to not just inform design, but then informed decisions.

If we can get to the next slide, Amy. So one of the things that's really interesting about all of this for me is that the way that raw data, and even things like design intent, are getting transformed into information in the construction process. So traditionally, what does it really look like?

We see a lot of manual processes, of course the human brain power, and our experiences. So we've got a lot of spreadsheets. We've got a lot of phone calls, meetings, back of a napkin sketching. This is all institutional knowledge, and it's all very applicable. But so many of our processes in construction are relying on these embedded and the lived experiences of our seasoned professionals.

And, frankly, while it's very valuable, it's very hard to capture for it to be used over and over again. That's where we see challenges and inefficiencies beginning to happen. So the power that technology and productized approaches in a connected platform really begin to apply for us, is that we're seeing this information begin to unlock our ability to harness the project data.

We begin to organize it, interpret it, uncover patterns faster, and be able to put it to work in a more actionable way so that the human workforce that it takes to actually make this data put to work is much more immediately accessible. That is our goal, make the data actionable. Next slide, Amy.

We also know that design-- when design is informed, there are big, big benefits that start to happen in construction. In fact, we're doing some research around this right now. So we have found with our own construction intelligence research team that projects which have had profit margin erosion in their project, they tend to have around 50% more RFIs with a root cause in the coordination phase.

And when does coordination phase happen? It tends to happen at that intersection between design and construction. So when we dig further into data like this, we also found that roughly 70% of RFIs are specifically stemming from design, and documentations, errors, and omissions.

So one of the strategies that we can employ knowing this for our industry is that when you have a true and more robust design review process, up front you're going to see downstream impact, which really just means we need to get the designers, the engineers, the fabricators, the manufacturers, the contractors in the room earlier to see problems before they start. And that's also where innovation begins to happen.

If you can go into the next slide, Amy. So when we put this into context of things like productization and industrialized construction, the upsides are massive. So if we've created an informed design, we have informed construction, and we're connecting on a technology platform that is open, and integrated, and sharing the data back and forth in a bi-directional way, then we're truly poised to improve quality, cost, schedule, safety, as well as potentially profit margin.

Plus we're then also capturing those lessons learned, and applying them to the next project, which is what you were talking about, Amy, this idea of circularity and really optimizing that knowledge that's been used throughout the project lifecycle. Last slide, Amy, for me.

So moving towards this process of working does not happen overnight. Driving towards a more resilient and future-proof business takes a lot of time, it takes people, it takes resources, and it takes a lot of energy to adapt. What we know for resiliency that you need three things. You need a willingness to transform, you need a culture that enables change, and you need a technology strategy to help you get there.

And the backbone of all of this is digital transformation. Which does look different for everybody, but the good news is that we are helping, actively helping customers right now take steps toward digital transformation. So I'm going to help kick it off here and share it all over to Tiffany, who's going to talk a little bit more about how we help you unlock those next.

TIFFANY BACHMEIER: Thank you so much, Allison. And before I do that, I just wanted to remind everybody if you have questions, comments, thoughts, please reach out to us in the platform with the Q&A panel. We are happy to answer all of your questions, have an open discussion and dialogue with you all at the end of this. There will be plenty of time for that, so just a reminder of that.

So how do we help customers actually achieve this through our consulting organization? So I lead-- I lead a team within our consulting organization that is doing this very actively with Amy, and all of the rest of the amazing experts on this team that are talking to you today.

And we really we see this as an opportunity to come alongside our customers truly as trusted advisors to deliver that same transformation framework that you saw Amy show earlier in the slides, that really take us through all those steps of where we need to get to from foundational all the way up to that circularity. Go ahead, next slide, Amy.

So our mission as we do this is really to partner with those customers desiring convergence, the convergence customers that we have, applying the manufacturing best practices to connect our manufacturing informed design, optimizing manufacturing, accelerating construction and assembly through productization, digitization, data reuse, and platform optimization to provide better business outcomes, operations, and sustainable practices.

It's a mouthful, but that's truly what we're doing within consulting, and alongside product, and with what you'll see with Mike with research later. We want to be that bridge in between those areas to really help bring that realization to our customers. Go ahead, next slide, Amy.

And some of the ways that we do that is what you're seeing on screen right now. These are just different ways that we can come alongside through workshops, and bringing that foundational methodology along with the advanced technology that we have, being able to fill gaps as we work through those, and we work with product, and we look towards those digitization practices, and then even through how do we optimize and ultimately automate workflows for our customers. Go ahead, next slide.

And this-- well, provocative in slide, just as an example of some of the practices that we're bringing to the thought processes and the thought leadership that we have within our manufacturing team to also bring alongside our construction customers and some of the things.

While I know it's not an exact parity here, this is a very high-profile manufacturing example from our aerospace industry representing a great example of what the future state is that we really want to help the construction industry achieve through these best practices that have been developed in manufacturing over decades.

This is a very large structure, totally fabricated in separate modules all around the world, and assembled in a factory environment, very similar to a construction site. And you can see all the reasons why this happens in that blue box.

But that's really the same ideas and methodology that we're applying, just in a different way, within the construction industry. Now, we love being that bridge to help for the today. But what if it's not fully achievable today? And with that, I'd like to send it over to Mike.

MIKE HALEY: Thanks, Tiffany. I'm glad you asked that question. So we're going to explore three examples of how our research team is collaborating with customers to explore all these futures of industrialized construction. You can go to the next slide, Amy. Our first one is a moonshot, where we're exploring how we can produce mass housing that is both affordable and sustainable using these industrialized construction methods-- next slide.

This project is being done in collaboration with our partners at Factory OS. Factory OS builds prefabricated housing modules, and manages the entire design to build process. We're focusing our efforts on the sustainability and impact of their products, while also achieving efficiencies in their building process.

Amy said something earlier, which I absolutely love, which is digital waste leads to physical waste. So that's exactly the kind of spirit that we are going into this project with. We want to digitize this entire process so that we can understand where there are opportunities to improve and have lower impact in the world-- next slide.

So one such example of our tools is how we are deploying multiscale optimization technology. This allows designers to explore the objectives and the constraints of a project from multiple points all across their design, make, and operate pipelines. So we're looking at that whole lifecycle and really optimizing for it. That's critical.

Data and relationships in the system are searchable and then mappable, which are giving designers a clear picture of the downstream impact of every design decision they make. Again, something that everybody's just spoken about, having the data and the knowledge about all the components all the way through and the effect it has on the final solution is really, really key to how this is going to operate in the future-- next slide. That's the same slide.

AMY MARKS: There we go.

MIKE HALEY: Yeah, yeah. This quarter, we're concluding our sustainability assessments of Factory OS Block 9 projects. So Block 9 is 141 studio apartment complex that's slated to open late this year in San Francisco-- next slide.

We've calculated material waste, material cost, embodied carbon, and operational carbon of one of the modules and one of the units of block 9. And now we've broken it down into all of the subcategories you're seeing on this slide. Now, this information can be used to optimize future designs and processes to further improve these metrics. Effectively, they become the baselines for what they want to do in the future-- next slide.

So that's great. But let's focus a little bit deeper now on the actual construction process itself. And let's explore how we can apply some of the learnings from manufacturing to industrialized construction. You saw Tiffany talking about the aerospace project. There's many places where we can take the learnings from manufacturing and bring it over to this world of industrialized construction, and hopefully leapfrog some of the processes-- next slide.

So a great example here is Apis Cor. So Apis Cor is a startup that designs and builds equipment that 3D prints with concrete. They joined our research technology network to solve design and manufacturing challenges of their equipment and grow their customer use cases-- next slide.

With their improved equipment after they'd work with us for a while, they completed the world's largest 3D printed building on site in Dubai, standing two storeys at 7,000 square feet. This is a project that was made possible by people that believed in the future of automation, and they were also willing to take a risk to try something new.

However, building codes vary all over the world. So they were also trying to explore how to overcome many of the limitations for innovation within the existing US building code. Through our network, they met fellow resident and internationally recognized engineering firm Thornton Tomasetti, and together they paved the way forward-- next slide.

Producing a specification document to support every building permit application, and opening doors to 3D printing their first affordable housing units in the United States, including a non-profit organization in Florida with a development of 800 homes, a housing trust fund in Santa Barbara County resulting in the first 3D printed affordable home in California also using sustainable materials, and another in Louisiana, which happened to be the first 3D printed US multifamily home, so a really significant impact in how 3D printing is affecting housing and industrialized construction-- next slide.

So my last example, we're going to look at how we could further leverage the intersection that we talked about between manufacturing and industrialized construction by exploring robotic printing, materials science, sensors and data analytics-- remember, that was something that Amy talked a lot about in the beginning-- IoT, data flow is a critical part of that.

And we're going to look at it in the context of infrastructure, specifically bridges. So renowned design and engineering firm Dar approached Autodesk with a vision of reimagining their entire design and manufacturing process, specifically for these large civil engineering structures. The goal was to get to AI-driven workflows, while leveraging Dar legacy data and expertise to 3D print an active, sensorized, living bridge-- next slide.

We used generative design algorithms in Fusion 360 to design the bridge based on the constraints of the environment in which the bridge is being used. Generative design was also able to improve minimum wall thickness and overhang angles of the bridge. On the robot itself, we use single point thermal sensors to take the temperature of the parts and decide whether to pause or continue printing, making the entire process automated.

During printing, we can detect tiny temperature variations in the material, which could indicate future areas of weaknesses. This initial test bridge has been printed from ABS plastic with 20% carbon fiber. And once we're done with the test, it will be ground down and reused. The bridge also has embedded fiber optic strain sensors throughout it. So it's actually physically embedded into the material of the bridge, making it a living bridge.

The full scale bridge will ultimately use recycled plastic, allowing us to move past traditional material, and seek ones that have less of an impact on the world. Anyway, hopefully these projects give you some sense of the future potential that lies ahead for industrialized construction. And I'm going to hand it back over to Amy. Thank you.

AMY MARKS: Thank you guys so much. I really appreciate all of that. So what can our IC team do for you? At our Autodesk University, we participate in lots of events and customer briefings, as well as internal trainings within your organizations. And if you are participating in some of our executive councils, you'll see us participating in those as well. And we participated in many of those external councils and consortiums that exist around the globe.

We also, as Ryan mentioned, work with some product betas right now, especially between Inventor in Revit, and for manufacturing software to actually inform design and allow for to create products, instead of just prefabricating some things potentially downstream.

We're working very hard on platform integration to make sure the Autodesk platform supports everything that you're trying to accomplish on your journey in industrialized construction. And we are always obviously interested in any products that are out there that participate either with us as partners at Autodesk, that can become part of Autodesk, or part of the Autodesk platform in one of our partnership areas.

The other part on services, Tiffany talked a little bit about convergence consulting. And that is an area that's been exploding for us, as many of our customers are very interested in how we can assist them on not just productizing the physicality of these piece parts, but on the associated workflows that both Ryan and Alli Scott talked about, and how we connect these things together so that we have informed design, and then connecting design and make together.

You heard Mike talk about some amazing research. By the way, we had to choose from so many projects we could have talked about in research. Inclusive, not-- by the way, there's a little bit of a convergence between consulting and research as well, that they work so often together when we're doing these projects with our customers. And some of it we can work on today, and some where we're willing to take a little more risk where they work in conjunction together with both research and convergence consulting together.

And I would be remiss if I didn't talk about-- you heard Mike Haley talk about some of the fellows that were able to discuss some of those projects within the resident program, the residency program at our technology centers. They've gone virtual, not just in the locations you may have visited us at Autodesk before, but you can actually be a virtual resident.

And we're seeing lots of programs, lots of people talking with each other. There's tons of information, people doing business together that are part of these technology centers and the residency program, very important. And some of the cool stuff that's happening over there is not happening anywhere around the world, but for in these places.

So I know we have some questions and answers. And Az Jas-at, who also works in our industrialized construction team, is going to be taking us through some of those. I have a few questions, Az, that have come in already. Do you want me to start with some of those?

AZ JAS-AT: Yeah, you go ahead and start with those, please, while we're waiting for the audience to loosen up with some of their questions.

AMY MARKS: By the way, we always take questions and challenges. I've changed all of my Q&A slides to questions and challenges. We're open for that, as well. So, Ryan, let's start with you, because you talked a lot about, how do we move basically the make information of manufacturing and what we actually can fabricate and make in fabrication facilities and in manufacturing facilities. How do we move that information up in front of design? And there is two words I heard, both prefabrication as I mentioned, and productization. What's the difference between the two words that we talk about?

RYAN MCMAHON: Great question. Let's start with the latter part there. What's the difference between prefab and productization? I think prefab is part of the story. It's an opportunity to make something offsite, nearsite in a controlled environment, better safety, use fixturing, lots of benefits of working in that particular way.

But if you only ever make one of something, you miss out on a tremendous amount of benefit of scale and repeatability for making lots and lots of a particular item. So given that Mike showed the factory last video, if we were to make an apartment unit, and we made lots of-- how many-- there's 300 or some odd units in that building there.

We want to make a lot of similar things but not make them all identical. Can we define a product that represents that particular unit, and all the ways that we can vary it? So that, by doing that, now I get the advantage of being able to make something in a controlled environment, and be able and being able to define something and the ways that it can change so that we have a process that we can drive much more like manufacturing.

AMY MARKS: So if I think about Tiffany's slide, which by the way, Tiffany, I've been showing that slide for years. And sometimes construction and manufacturing folks agree on it, and sometimes they disagree. Because there aren't too many buildings that are like airplanes.

Although, I would tell you, all prefabricated are manufactured, and flies through the air, not sitting on the ground, same as ships. We don't have the risk of water and air. Our buildings are on the ground, mostly. But when I see that and I connect it to what Ryan is saying, we don't necessarily have to have all those pieces and parts look exactly as they look in that plane all the time.

You could vary some of those as the architect, and only use some of those parts in the building, and scale them differently, size them differently, change the capacities, and not have to make the entirety of the plane. So that's where you're looking at a lot of this stuff.

You're really morphing these customers, and taking what in proven manufacturing, and evolving them from construction companies in some cases, or owners that want to enable this, or architects and engineers. Tell me about how convergence consulting is best suited to do that at Autodesk?

TIFFANY BACHMEIER: Sure. And you're absolutely right. I mean, that was why I said it was a bit provocative to share it. But it's the idea of bringing that methodology. It's not the one-to-one parody, it's the idea that we can bring these very foundational methodologies that we've used.

I mean, name of the industry across manufacturing, you often talk generators, there's ideas of automotive, as well. I mean, you could talk about this in a lot of different ways. But it's that idea, exactly what Ryan was just talking about around looking at things with that productization mindset, and then applying that to these industry strategies to be able to help people achieve what they need to achieve in their business tomorrow.

And that's truly the opportunities that we're seeing today with these customers is being able to-- we bridge gaps. And in Autodesk consulting today we have a team of enterprise solution architects, industry strategy business consultants, as well as technology experts within our team that all bridge those gaps across these industries to really help bring as much thought leadership and these methodology approaches to help people transition.

So no matter where people are in that journey with us, we can help them. We can see, OK, where are you today, and then how do you get to where you're trying to achieve to for tomorrow? And that's really the goal that we have in consulting.

AMY MARKS: You know it's crazy, Tiffany, we had a big event recently last June. And we had all of our biggest customers in the room. There were almost 1,000 people both virtually and in-person at another event. And we asked-- once we described what convergence was, we actually asked, how many of you would consider yourselves convergence customers, no longer just a contractor or just a subcontractor?

And 82% of the audience describe themselves as convergence customers. Now, if they're evolving into manufacturing, and we're a bunch of construction folks sitting in a room, it's like trying to be a manufacturer without having a manufacturer tell us how to be manufacturers.

That's the beauty of convergence consulting is that you get all the benefits of all the amazing manufacturing consulting we've done across the globe with unbelievable things that you and Mike have done. And we're really able to apply those things that seem like almost old hat to you. [INAUDIBLE] the AEC community. I mean, is that really what's happening with these customers? Are we using proven technologies that we've done forever?

TIFFANY BACHMEIER: Absolutely. And that's the joy and the excitement of being-- people might have looked, when you first did those bios why is this woman with the title of advanced manufacturing on this call, but that's why. Is because I lead a team of manufacturing experts, but that are being able to bridge those gaps, and bring those things into the construction industry for us to be able to achieve those goals.

So the things that we're doing with our manufacturing customers and we're helping them achieve the next possible and the next things that we're doing, we're then being able to also bring those methodologies and those industry expertise into the evolving world of that within construction.

AMY MARKS: Perfect-- oops, sorry, let me go back one. Perfect timing for Alli Scott. Alli, so now we just said, if you a bunch of construction people in the room, and architects, and engineers, and even owners that need our services, how many of these companies want to start, and have already started defining what they make?

Think all the fab shops, think-- how is that important, that prefabrication evolution to productization, to connect that to both design and then share it in construction? Tell me what's going on with the customers that we're seeing that are using the Autodesk construction cloud, and why this is important.

ALLISON SCOTT: Absolutely. So there's a couple of things happening. One, we already know, like you just said Amy, that there are a significant number of people in architecture, engineering, and construction that are no longer just bound by that singular definition. We see lots of firms across AEC deciding to go upstream and add more of the pre-construction, more design, more urban planning, more test fit solutions, pre-construction solutions to their bench.

We also see people going downstream and saying, hey, I want to get more into operations, and asset management, and providing digital twin solutions to my clients. So there is a massive shift in our entire industry for converging across our own industry lines, as well as dipping into cross industries like manufacturing that we've just described.

So where this becomes really interesting for things like the use of Autodesk construction Cloud and this notion of connected construction is that if we want to embrace new business models like this, if we want to take advantage of new profit margins, and new services, and new revenue streams, we cannot operate with the same way that we've been operating before.

Connected construction is way more than just digitizing the existing processes and the existing paper solutions and silos then we've been operating with in the past. We cannot expect acceleration in innovation by just digitizing a paper process. We've got to find ways to streamline and accelerate across the entire lifecycle.

So what I think is kind of interesting out of this is like, could we really imagine a world where an RFI never existed? I mean, I think that that's what we're trying to go for. That's exactly what Ryan is starting to identify. It's like, if we have product solutions that are baked into our own tools, we're going to get closer to that kind of reality.

The other interesting thing is that this is not just a problem, or a solution, or an opportunity for contractors. Architects are living this challenge every single day. Architects, in fact, have a lot of pressure on them. There's a ton amount, there's a ton of risk in their day-to-day jobs.

And we see this in their environments when their amount of design, the amount of detail that they have to give over to the contractor is significant. And yet somehow, it's still not enough. And why is it not enough? It's because those processes are disconnected.

So if we're able to take all of that rich data, geometry, and process that an architect and an engineer is creating in those early stages, and really transfer that over, and with a full picture in a holistic way to construction, wow, what kind of power does that unlock? And we are beginning to see this with a number of our customers.

In fact, I suggest that out of the people that are watching today, go check out a couple of different of our construction-oriented classes on AU in the session catalog. You can also absolutely watch the construction keynote tomorrow with Jim Lynch, Sameer Merchant and Brandon [INAUDIBLE].

We've got some great feedback from some of our customers that are talking about their process where they're talking about digital transformation and connecting this data between design and construction and down into operations. We also have some awesome interviews from contractors that are in the Watch Any Time section of the AU platform where you can learn a little bit more about these details in action today.

AMY MARKS: And you're there, too, Allison Scott. I know you-- I've seen you there. You're right there near where my thing is in the [INAUDIBLE].

ALLISON SCOTT: Yeah, we've got some great content from yourself and from me talking about how resiliency is enabled by digital transformation. You cannot future-proof your business without digital transformation, and what does that entail, and then you give us a great example with the transformation framework, and how you make it real, so yeah, really great content.

AMY MARKS: And so I know Az Jas-at, our moderator, we have lots of questions coming in, additional questions, should I pause and go to you before-- I want to definitely talk to Mike again, but--

AZ JAS-AT: They're coming thick and fast, but hey, why don't you drop that question off to Mike, and then we'll jump onto the audience questions after that.

AMY MARKS: Fantastic. So Mike, I think what's so cool about what you're doing over in research is that you are really-- you've been seeing the convergence happening before we did. So lots of these projects-- it's so interesting to me. As I look across and I sit on one of the boards over there in research, we're looking for more and more convergence customers that want us to solve for this.

Because as Allison said, I think it's so interesting. It's like you need that data, but that data just can't live in somebody's desktop. It has to actually not just live in some isolated place. We've got to be able to house it somewhere, share it, make sure that we know what to do with that data, test some things out.

Because the data is very different. I would love the world, by the way Allison, where there are no more RFIs. And I always say, we'll get there one product at a time. I think as we move to this, where buildings become more and more productized, it won't happen overnight.

We have to build like one digital book in a digital library at a time with the workflows with them. But what you are seeing over by you, Mike. What has really changed in the last few years, when you were already projecting this out years ago when we started working with these convergence customers. What's different now?

MIKE HALEY: Yeah, I mean, I think it's really, it's-- in and of itself, it's a convergence of a lot of factors. So, I mean, I've been working on cloud technologies, honestly, for 20 years, and, in fact, 20 years in construction. And I can tell you 20 years ago, people didn't want to put things even in the cloud. Uploading a document was kind of a weird thing to do.

That's not really an attitude anymore, so data is flowing into the cloud. But that's not enough. You're also seeing advancements in sensor technology. So I gave that example of the bridge with those fiber optic sensors, and it turns out you can 3D print fiber optic sensors and put it in stuff, and they're really cheap. So why not just do it all the time and collect all the data?

You're also seeing changes in manufacturing processes. So some of the stuff I showed you, some of the stuff Tiffany talked about. I mean, that's all changing at the same time. And then I think you've got all the pressures that Allison talked about. You want to do more, you want more detail, you want to get the stuff going.

So you've got all these factors happening concurrently. So you're right, we've seen this coming for more than a decade, to be honest. And this is one of the reasons I love running a research organization at Autodesk. Because we get to look through the lens of construction, manufacturing, entertainment even, and look at all of those things together.

Inside research, we have a group we call industry futures that is actually created specifically to focus in industries. And all the examples that I spoke about today, they're one of the key groups in working with those customers to explore these futures and discover these things. Then we have-- we talked about the technology networks, and outside networks that bring in these folks to help think of this together.

And generally the way we look at this-- and what I'll leave with, Amy, is that the way we like to think about this in research is we start with feasibility. We look at the fundamental technology trends, and say, can we even do this? Is the data going to flow? Are we going to have the right representations at the right time?

Then we need to get to viability. When you plug this all together, will this actually work? And we cannot do that without customers like the ones I talked about and many of the others, similar to the ones that Tiffany works with. And then, finally, we've got to get to desirability.

Does everybody really, really want this? Is this going to just take over the industry? And I would say industrialized construction is now well into that viability phase. And, I mean, it's teetering on desirability. So there's the convergence has happened, the acceleration is there, and I think the view is we're seeing the bolder customers and bolder people around the world begin to adopt this.

AMY MARKS: Agreed. Az, let's go to some of the, in the thick of it, as they say.

AZ JAS-AT: Let's do that. So yeah, firstly, thank you to the audience for posing some of the questions and challenges so far. I'd like to start with one from David Stutsman. I think he's really hit the nail on the head here, which is how can we challenge the industry to think of buildings as assemblies before starting design, that the design can leverage the potential of productization and prefab, rather than back-fitting it after the design is underway?

AMY MARKS: Well, I'll take that one as the first answer, and then let everyone chime in. I think expecting architects-- my friend Stan Chu at Gensler always says, don't look to me for the data of every manufactured product around the world as if I have [INAUDIBLE] in my head, or I know what it is.

And not just that, but, as Ryan said, we don't just want to make buildings as components where you have to, as an architect-- like we say, you can use any color as long as it's black. That's not true-- or pink, or whatever the color. We want to make sure that you become that architect that's freed up because you have productization that allows you to customize both the things that are productized and utilize them in things like generative design where you can pick the right combination of products for you.

And let the technology do that. Let the technology house and inform your decisions, and then you can customize them and truly be the architect of the parameters that you want. That's important. And so I think first we have to frame it correctly so that people don't feel like what they're doing doesn't exist anymore.

In fact, my friends that are in architecture are so thrilled they may never have to draw fire stairs again. They're like, fantastic. If I can import that, pick the right scalability and performance requirements for these products, it frees them up to go do amazing things with artistry, and bespoke areas of the building, or to spend more time on the user end requirements and parameters. That's really important.

So I think first you have to show the ecosystem, what's in it for them, and how this enhances and changes their business models to be more productive, create better returns on investments for their companies. And, look, I don't know a lot of architects these days that are getting paid on hours or a number of drawings anymore. That time is over.

They are looking for new business models. They want to understand what their next phase of their life is in their business, and industrialized construction plays a big part in that, as long as we can show them the pathway. Does anybody else want to chime in?

ALLISON SCOTT: One of the things that comes to mind for me, Amy, is-- and I love that you framed it up on how important it is to the architect's role in this, because it's critical, it's crucial. There's also a super important role in the role of the owner and in the clients, and where is it originating from?

So I think it's a huge space. And I've heard you speak about this incredibly eloquently, so I'm not going to be able to capture the same way you think about it. But just knowing that there's so much opportunity for owners out there to acknowledge what kind of value can be earned through the process with industrialized construction, and starting that from the very, very get go.

Not putting the pressure on your contractor or your architect to make that decision, but really, really stepping in to say, hey, I want to be a leader in this and I'm going to bring my team along with me so that we can achieve those outcomes that we're looking for this particular asset.

And that's not just in the design of the construction phase, but that is absolutely in the operations phase, as well. Because there's a huge connection between the role of trends like industrialized construction, and things like digital twin, and getting better performance in the building for the longer term.

And that is also a huge play for owners out there that are managing large scale assets that are ready to take that next step. You want to talk about managing our pro forma, or managing your building lifecycle for the long term, and circularity? Starting with industrial construction is absolutely your first step.

AMY MARKS: I love it. Tiffany is shaking her head, because I know we've talked owner playbook with lots of our customers all the time. They have the most to gain, right, Tiffany?

ALLISON SCOTT: Totally.

TIFFANY BACHMEIER: Absolutely. I mean, Allison, what you said is so crucial to it. Because that is often the customers that we're working with the closest are the owners, and how they're informing then what they need out of the rest of their partners in the ecosystem. So, yeah, I think that's really crucial.

AMY MARKS: OK, Az, start us up.

AZ JAS-AT: Thanks, Ally and Tiff. Great answers, and thanks, David, for the question. I've got another one here from Kristen that I'm going to pitch to Ryan and Mike. So she's curious to hear about more specific examples of software being used in workflows between design teams and manufacturers.

RYAN MCMAHON: Awesome, great question. First off, when we talk about the workflows in productization, we have a breadth of tools in our portfolio to solve the right kinds of problems. And we think that that productization means defining what you make with the full fabrication level of detail, bolts, studs, and washers, and all of the constraints, and the ways of the change, and the min and the max values.

All of that kind of information, modeling in that way with an engineering tool is really fundamental in defining what are the products that you make based on the processes that are available to you, and the skills that you have in your factory, and the materials, and all of that.

The challenge that we have is we-- today, or it's pretty commonplace to try to use Revit to capture all of that detail, which it's a design tool, it's not an engineering tool. So how do we link these two worlds with the right kind of information to drive the right kinds of processes?

So the workflows that we are really driving forward are, can I do this productization definition with a tool like Inventor, with a tool like Fusion, and then automatically create the appropriate representation that belongs in the Revit file? Can I interact with that template and say, oh, I need fire stairs that are this spacing between floors, or different spacing, and use that.

So those are examples of the workflows that we are building. And I just do want to call out that there is a class taught by Andy Atkinson and Justin Rice that's called bridging the construction and manufacturing gap with Inventor product templates that talks about this in much, much more detail.

MIKE HALEY: Mm-hmm, yeah, and if you were listening carefully when I was speaking about the Dar bridge that we're working on in research, I mentioned Fusion 360 and generative design. And this is very much kind of the thing that Ryan was talking about. It's like we bring these tools together.

What an interesting thing I'll drill a little deeper on and is really relevant to this question is generative design. So generative design in the manufacturing space started out much like what Ryan talked about. It's about bringing a bunch of constraints. What are your objectives? And it solves within those objectives, and it creates some sort of shape or output from it.

We very rapidly realized-- and this is not in AEC now, this is not in construction. We were purely just in manufacturing 10 years ago. We very quickly realized we had to start adding the material being used, the constraints of the method of manufacturing being used as well into those, because otherwise you're going to produce a design that can't be made, or it's too expensive to be made.

So what we do today in generative design is we actually specify, are we 3D printing? If we are 3D printing, is it going to be with a plastic material like an ABS, or are we going to be 3D printing concrete? Are we milling metal? What is it going to be? And the software then during the design process is able to optimize the generative design such that when you do get to manufacturing, it's actually ready to be manufactured, and manufactured hopefully cheaply, but certainly in a reliable, doable way.

So, again, that bridge that I showed, if you look carefully and one of the slides, there was a couple of different generative designs. And the first one had very thin struts on. And those were designed without any limitation on-- there was just-- doesn't matter what the material is. It's the world's most perfectly strong 3D printed material that doesn't really exist.

And then all of a sudden tell it that it's ABS and it's going to be heated and printed with a robot, well, then all of a sudden you start having to make those struts thicker and stronger, because the plastic layers have to adhere to each other. So generative design can model that and include that into the design, such that when they do get to manufacturing, they're more ready.

AMY MARKS: I think also as I'd be remiss in not adding, we have something amazing at Autodesk called Forge. And Forge is what the platform at Autodesk is built on, as well as the technology at the Autodesk construction cloud is also built on. And that makes us very powerful with our customers' data, with working with you guys in helping you get that data across the platform from the owner's requirements, informed design, into construction and manufacturing, back around through operate.

That's critical that you-- one of the reasons Autodesk, I came here, and we're talking about it later today, Az, as you know, in another talk, Forge is so critical, the fact that we can connect all of this information together. And many of our products, as I said, are already built on that Forge platform, like Autodesk construction cloud.

AZ JAS-AT: Thanks, Amy. I think we've got time for one final question before we go to closing remarks. And this one's for Amy, and I think you'll like this one. So what is the connection between trends like industrialized construction and the emerging focus or opportunity of digital twin?

AMY MARKS: I love that question. You know, I always say if you really want to think about digital twins, let's say it with an s at the moment for now-- that the easiest way to think about how we want to work with buildings in the future is that if they're truly going to be acting autonomously where they can tell us how they're operating, how the end users feel within them, actually how they're performing, not just as a building, but imagine a portfolio of buildings even, if you own them as a serial owner.

One of the great things about industrialized construction is that products, not just equipment-- as we know digital twins have already been enabled through-- but these become, instead of just construction in situ, to prefabrication as the evolution of the area, to product, prioritization, and really manufactured products.

We have that ability now, not just for the equipment inside this built environment, to give us that data and information. But the building in and of itself. And you can attach those sensors or print them very inexpensively to everything and add that. So that, especially if you have the productized chassis of that piece of equipment you're going to reuse over and over again across multiple buildings, even if it's scaled differently, we start to collect data that we didn't have before.

It's like every time you do something unique, you cannot collect data and reuse it if the next thing is going to be unique as well. And so I think industrialized construction becomes the chassis for much of this data enabled for digital twins enhanced by IoT sensors and all the other information that can move across a platform like Forge.

That's where it really becomes powerful. So it's not just for the piece of medical equipment, but for the entirety of the hospital that we can get this information so that people can heal faster. And we get better acting, performing, buildings, and understand how they're interacting with us for life times.

And I think that's super important. If you don't make that connection, digitizing the supply chain as well as these pieces and parts, you sort of missed it. And then we've got to make sure that people know that these things also converge. How is that, Az?

AZ JAS-AT: Great, thanks, Amy. So I've got-- there's one other quick question I think. I'm going to pitch to Tiffany about convergence consulting. So this is from a prefab construction integrator in Canada. They integrate multiple fabrication facilities and prototypes.

They're looking to be the technology pollinator for all of their partners. And the question is, would convergent consulting be the right partner to help assist them?

TIFFANY BACHMEIER: Oh, I love pollinator. That's fantastic. Yes. I would say, let's talk. Because there are tons of opportunities, then, for us to partner, see where you are, see what we can do to come alongside you.

And then even, is there partnership opportunities to do alongside Amy's team, and the things that we're doing across this entire ecosystem that you've heard here today to be able to influence even what you're already doing within your company. So, yes, I love that question, and thank you to the person who gave it. And, yes, please contact us. We'd be happy to talk.

AZ JAS-AT: Awesome. So, Amy, let's leave the audience Q&A there. We've got a few minutes left just to close the session off.

AMY MARKS: Well, first let me thank all of the amazing people that are on this panel. Hopefully you can see my slide now with the audience that's up on the screen that doesn't say Q&A anymore. I just want to go back and summarize some of the stuff we talked about in the transformation framework.

As you want certain outcomes and you create certain strategies, we want to make sure that we're alongside you, helping you as a partner as you assess some of the foundational skills and tools along with the technology stack in your business architecture to make sure that you're ready as these first few steps of transformation to what the new possible is, and to make anything with Autodesk.

I think, don't forget productization is about both the digital and the physical. So the physical piece part is the chassis, the workflow associated with it, the many, many different workflows of thousands of pieces and parts that will be productized so that we can reuse this data, data reusability.

I don't want to keep making hospitals where I chuck out the digital information at the end and I rebuild it every single time. I want to make sure we think about data reusability. And so that, like Allison Scott said, we can enable automation and connected process all the way from operations and design and construction, and then back around in the lifecycle of what these buildings are supposed to do.

We're not just getting people off paper. We're really working out these workflows to connect these things together, and make sure that we can make them easier and more automated, quicker for you to give you more insights, because that's really what platform thinking is.

We want to make sure you can get the information you need built on Forge at the Autodesk world in our platform, and also with the connective tissue that Forge allows us to interact with the products that we have working here in some of these areas, along with the ecosystem of partners of products in the platform that fill in lots of digital glue that are going to help you create these amazing workflows around the world.

I always say my iPhone, it comes with preloaded things. But then I can put a million things on it to make those things work better in the way that I want them to work, not my neighbor who owns the same phone. We want to be able to optimize this so that we can truly use things like generative design, like Mike Haley talked about in the manufacturing side in our AEC space and digital twins like I spoke about.

Industrialized construction is an optimization. You don't start there. It's on your transformation framework. You have to go through the first steps of-- the 1 through 4 that we talked about. Because ultimately we want circularity for our ecosystem. 40% of what's in our landfills right now is construction waste.

We want waste avoidance. Productization is the single most important thing you could do to avoid that. We want digital and physical reuse. So with that, Az, I think that wraps up our time to make sure that we're on time today.

Thank you to all of my panelists. Thank you for joining me. I really appreciate the generosity of your time for supporting the industrialized construction efforts here at Autodesk.

MIKE HALEY: Thank you.

ALLISON SCOTT: Thanks, Amy.

MIKE HALEY: Thank you.

RYAN MCMAHON: Thank you, everyone.

TIFFANY BACHMEIER: Thanks, everybody.

______
icon-svg-close-thick

Cookie preferences

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

May we collect and use your data?

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

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

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

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

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

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

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

icon-svg-close-thick

THIRD PARTY SERVICES

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

icon-svg-hide-thick

icon-svg-show-thick

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

Qualtrics
We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Akamai mPulse Privacy Policy
Digital River
We use Digital River to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Digital River Privacy Policy
Dynatrace
We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
Khoros
We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
New Relic
We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

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

Google Optimize
We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

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

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

Are you sure you want a less customized experience?

We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

Your experience. Your choice.

We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

May we collect and use your data to tailor your experience?

Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.