Design & Manufacturing Industry Keynote

[MUSIC PLAYING]

ANNOUNCER: Welcome vice president of design and manufacturing industry strategy, Srinath Jonnalagadda.

[MUSIC PLAYING]

SRINATH JONNALAGADDA: Hello, Autodesk University. Are you feeling the excitement? I sure am. We are two days in. And if there's one thing that's crystal clear, it's this-- we are living in an incredible time for design and manufacturing. Today, you stand at the heart of a global industry worth over $10 trillion, and it's not slowing down.

By 2028, that number is projected to skyrocket to $16 trillion. And that's all thanks to the pragmatists and innovators in manufacturing. You're the ones driving this growth, making the future with every design, every innovation, and every breakthrough.

But here is where it gets interesting. The pace of product design, development, and manufacturing is accelerating like never before. Just think, only a few years ago, a coffeemaker simply brewed coffee. But today, that same consumer product is a smart device equipped with touch screens, customizable settings, sensors for that perfect brew, and it even has smartphone connectivity. This rapid evolution demonstrates the broader challenges and opportunities manufacturers face today with design, mechanical engineering, electronics, and software all converge.

So how do we lead the way in this rapidly shifting landscape? The answer is clear, it's data. Data is now our most valuable resource and is the driving force to our success. But the real question is, how do we use data to break down barriers and change the way we collaborate? How can we tap into data to help you speed up design and manufacture of complex, innovative products? And how do we unlock the full potential of AI through this data?

Today, we are going to show you how data and AI aren't just answering these questions, they're unlocking a world of new possibilities. You'll hear from customers just like you about their data transformation. First, we are ramping up efficiency by focusing on interoperability. That means smarter workflows, lower costs, and your trusted tools working together effortlessly. It doesn't even matter if your tools are ours or someone else's.

Next, it's about sparking innovation with AI. Think creating more complex, more personalized products that truly resonate with your customers. Take Kia Motors. They're not just experimenting with AI, they're using it to revolutionize car design. By feeding new on-trend designs into generative AI, they have cut design time from weeks to minutes.

Let me stay with this for a minute. You heard that right. What took weeks can now be done not in days, not in hours. In minutes. This isn't just efficiency. It's next level creativity. Data isn't just something you collect. It's the lifeblood that connects everything in your business. It doesn't matter what you make. Your tools and data must work together.

That's why Fusion is more than CAD, CAM, and CAE. It's an end-to-end cloud platform that's ready for anything-- PLM, MES, you name it. And we are expanding Fusion to meet every need across the entire product development in life cycle. We are building a future where your tools and data aren't just compatible, they are unstoppable, all powered by Fusion.

Fusion has grown to handle even the most complex project teams, making collaboration easier and more scalable. And as we continue to move forward, tools like Inventor, Vault, and Alias are also evolving to keep up with that future. So whether you're managing complex assemblies in Inventor, keeping data secure in Vault, or pushing the boundaries in Alias, these tools are getting stronger, more flexible, and ready for whatever comes next.

Today, you'll hear more about the investments we're making to strengthen our core products and to make your data work for a new era of collaboration, one that's flexible connecting desktop to cloud and to any other apps your teams need. This shift is opening new possibilities across the entire industry.

Take kennametal for example. They make the industrial tools that build the world's most complex machines. Their tools are packed with data. But until now, that data has been stuck in silos. Kennametal is changing the game by integrating their machining data directly into Fusion. This allows them to simulate machining processes with precision to get each part right the first time.

And it's not just Kennametal. This connection opens doors for more manufacturers to create better products faster. It's the convergence of design and manufacturing data, helping everyone make more of anything. And it is happening right now.

But what if we could push this even further? What if connected data could break down even more barriers, expanding beyond industry silos. Imagine your designs, machines, factories, and people all part of a seamless single digital thread. This would give you complete visibility from design to production all the way to construction. And only Autodesk can enable this single data thread with our entire portfolio.

This is the kind of new territory that companies like Bridgestone are exploring, investing in 3D scanning to create detailed building models for factory retrofits, showing how connected data can even revolutionize the most established industries. Bridgestone is bringing together design, manufacturing, factory, and construction data through the entire Autodesk platform. So when they spotted a new market trend in large rim diameter production, they had the data and tools to quickly pivot their factories.

This agility allowed them to capture market share ahead of competitors. That's the power of connected data in driving real business outcomes. This is the power of Fusion. And as you've just heard, it's not just about keeping up. It's about staying ahead.

In just a moment, you'll hear more about how Autodesk AI and our platform are setting the stage for a future that's more agile, productive, and profitable. But first, let's welcome to the stage the innovators behind these stories-- Andy Warren, senior manager for engineering services at Bridgestone, Dr. Carlonda Reilly, Chief Technology Officer at Kennametal, and Voho Seo, lead AI designer at Kia Motors. Please join me in giving them a big round of applause.

[MUSIC PLAYING]

So great to have you here. Hope you are enjoying AU. Yeah. It's been a good AU for me so far. Hope it's the same for you. You all are driving some really inspiring transformation in your own organizations. And data and digital transformation is what all the manufacturers really now care about. So let's start with why does digital transformation matter to your business, Carlonda?

CARLONDA REILLY: Thank you, Srinath. And it's really great to be here and to be with all of you here today. And so part of our vision for digital transformation is to automate the pre-manufacturing steps in parts and components, and to make that automated process widely available and easy to access for our customers.

So our customers come to Kennametal for tooling solutions. And as part of those solutions, we hand over data. And in a typical manufacturing process chain, tool data exists in those silos and must be shared manually with CAM programmers and throughout the value chain. So that could lead to a lot of inefficiencies. It can lead to lost time.

And so we want to break down those silos by integrating our tool data with Autodesk Fusion, so that data can flow throughout the value chain automatically and making optimization of machining strategies automatically. And certainly, I think it will provide the opportunity for our customers to make the part right the first time.

SRINATH JONNALAGADDA: Nice. I love your point about breaking down data silos. This is fundamental. This is the first step for the digital transformation journey. Great to hear you talking about that, Andy, let's go to you.

ANDREW WARREN: Yeah. Thanks, Srinath. I appreciate you guys. I'd love to be back at AU. I'm glad it's back in-person again. Thank you all for coming out. Like Carlonda said, we need to remove some of those silos, and that really slow us down in the process.

Our own digital transformation has stemmed from a variety of industry and factors that optimize those operations. We have to run our factories 24/7 because rubber doesn't like to get cold. With that around-the-clock production, we need to hit new operational efficiencies, especially as we face the labor shortages that a lot of you are out there feel.

The digital transformation to smart factory really covers everything from the actual built environment of the machinery to the plant layout and everything in between. Our transformation is not really a sudden overhaul, but a series of incremental improvements, leveraging technology to meet those market demands and sustainability goals.

SRINATH JONNALAGADDA: Fantastic. It's great for you to be thinking about sustainability as your thing, as you're also thinking about transformation, because it's only a matter of time, because they're going to get a lot of regulation around sustainability and things like wastage and other things. So it's good that you're thinking about it. Voho?

VOHO SEO: Yeah. Thank you for having me here. It's great to be here on behalf of Kia Global Design. And I believe digital transformation is crucial for everyone, especially in design field. One of the biggest advantages is being able to archive data from past projects and leveraging for future ones. Accessing data sets and finding references that fit our specific situation is a huge benefit. This makes our jobs easier and keeps consistency in our work.

The way we work is going to be different from it is now, and these data sets will play a crucial role. There will be more than references, there will be assets to train AI to understand our workflow. Knowledge transfer is key to using AI effectively across industries.

Think of AI as a new team member and it needs training. Without our own data sets, it's going to be tough to train it properly. For us, especially in the mobility industry. The data security is crucial, and that's why it's important that AI systems are built and trained based on our own data sets.

SRINATH JONNALAGADDA: Yeah. AI as a colleague, that's a smart way to be thinking about AI. Now, continuing on this theme of AI, you're leading a lot of innovation on the design side. What is AI's role in the change that you're implementing in the design side?

VOHO SEO: Yeah. In design, there's no single correct answer. That's why designers go back and forth exploring different ideas and navigating the uncertainty that comes with it. we saw opportunities with AI. So could I break the idea fixation and amplify designers creativity? With this question in mind, we started looking for a research partner who really understood both AI and design, and we will luckily able to proceed with a year-long research with Autodesk research team.

And we learned a lot from this experience. And I'd like to share three key things. First, introducing AI is like onboarding a team member. So you can't hand them a job and expect them to get it right away. So we need to fully understand how our processes work. So we can figure out how to transfer the knowledge to the AI. We also had to spend time and effort figuring out what our design process was like and the knowledge behind it.

And second, to team with AI, understanding its strengths is also crucial. What's remarkable here is both AI and designers use texts and images to create something new. Designers gather inspiration from images and they express them with adjective keywords, while AI uses similar inputs to generate new images. This means AI can mirror the way designers work. So by feeding specific images and prompts, we can guide the AI to create what we were looking for.

And finally, human insights remained to be our most competitive value in the age of AI. We can't let AI decide everything. So tasks like establishing and nurturing brand value and design philosophy, those kind of things should be done by humans. But AI can be a great partner alongside us to make the process smoother and faster. There are still a lot of things to do, but we are excited to allow what's next with our strong partnership with Autodesk.

SRINATH JONNALAGADDA: Really good pragmatic advice. I like what you just said, which is you need to be blending human intuition with AI. You can't solely rely on AI to give you the answers, because the future of decision making is this blend of human intuition and AI. Carlonda, switching to manufacturing. How are you thinking about the role of AI in transformation for manufacturing?

CARLONDA REILLY: Yeah. We believe that I will give us the ability to fulfill our ultimate vision of making the part right the first time. And so in AI, we know that data is king, or in my case, queen, OK?

SRINATH JONNALAGADDA: Nice. Yes.

CARLONDA REILLY: But anyway, it is a journey. And we know that we have a ways to go. But with more digital data available through Fusion, we know that we'll be able to build a learned ecosystem, if you will, that our customers can access. And we want that to be easy access for our customers.

This is something that we believe our customers will value, particularly because of this growing trend, a skills gap trend in the manufacturing industry. And we think that this is even going to be more pronounced in small and medium job shops.

SRINATH JONNALAGADDA: Yeah. And we shared that vision, the vision to lower the barrier for small machine shops. And I know you're doing a lot of work inside your company to lower that barrier. So could you talk to how that transformation is going in your company?

CARLONDA REILLY: Yeah. So Kennametal has been on its own digital transformation and manufacturing for several years now, and we're on our journey. And we work with design automation, digital data. We utilize CAM, CAD/CAM in our own processes to make our own tools in the most effective and efficient way. So because we are integrating our tool data with Autodesk Fusion, we believe that we can bring that capability to our customers.

And so our customers, and we've talked about that small and medium job shops. And so when we think about that skills gap, we've begun to ask ourselves, how can we more effectively have a technology reach to those customers and reach those customers more effectively with manufacturing solutions? And so we have a vision for our customers to have easy access to this automated ecosystem that I've talked about, the digital ecosystem that I've talked about, where our tool data is integrated with Fusion.

And this is through our collaboration space at kennametal.com. And because everything is integrated, they can access all of the tooling advice, the tooling knowledge, the tools that they need to use in their manufacturing as well as the optimized machining strategy. So whether you are young or old like me or less experienced as an engineer or operator, you can gain access to all the information that you need to make your part in a highly productive and cost efficient way right the first time.

SRINATH JONNALAGADDA: Nice. I love what you're doing to make anyone an expert in the shortest amount of time. That's a great way to think about it. Andy, labor shortage is a big problem in manufacturing. All over the world wherever I go, pretty much every manufacturer talks about labor shortage. And I know this is a challenge for you at Bridgestone as well. So what are some of the things that Bridgestone is doing to address this?

ANDREW WARREN: Yeah. So what we're trying to do is use Fusion manage to standardize how we do engineering all across Bridgestone manufacturing. It's going to be our tool to help drive the manufacturing engineering for the next generation of engineers. Taking that engineering workflow and automating it into a system, that way, it really allows somebody who's only been on the job two weeks. They can follow the same steps that somebody that's been there 20, 25 years does, and they get all of the tasks done in the right order.

They know what they're doing because they can use that to address that skills or knowledge gap, that knowledge transfer to help bring those benefits of going to a digital twin, digital thread, 3D model, across the system there.

SRINATH JONNALAGADDA: Yeah. And the transformation that's happening inside your company, it's not exclusively about bridging the skills gap, but it's also about how you're transforming the build up of factories. And you're doing a lot of work in connecting, design, manufacturing, as well as architecture. Could you talk to how that's happening?

ANDREW WARREN: Yeah. So I tell the story of I was hired 13 years ago to come in and set up Autodesk Vault for Bridgestone. I thought to myself six weeks I'm going to be out of a job. This is going to be quick. I'm going to be in and out and I'm going to do.

And here I am 13 years later, realizing we don't need to just change to a new data management tool, but we need to change how we work. We're moving to that next generation of engineering for a smart factory industry 4.0. And we need those tools to help us get to that digital twin digital thread. That means working across multiple disciplines. And our group specializes in the machinery that makes the tires. And we need to keep that information from that concept through 50 years of operations on that piece of machinery until its obsolescence.

With Fusion Manage, we're rolling out asset tracking and be able to keep track of all the changes that happened to that asset over the life of it. We need a holistic approach to the factory itself. We only build buildings to keep our equipment dry. Our machinery is huge. It could be 300 or 400 feet long. It's five or six stories tall, 5,000 feet wide. And that's just one piece of equipment. So it got to be smart about how we capture that data and track it.

With BIM tools and ACC, we're able to visualize and communicate and track that data about the building. They're going to wrap around that machine. We can see if there will be a clash between the machine and, say, the ceiling height. At the same time, we can use this data to create that digital twin that's going to have that massive impact, and that data is going to live on for that factory for the next 40 to 50 years.

SRINATH JONNALAGADDA: Yeah. I don't know if there are any AC folks in the audience. You heard him. The building is there just to make sure that the factory doesn't get wet. The machines don't get wet. I'm just saying. So we know what's important. All right.

You all are driving some incredible change in manufacturing. And there are manufacturers here in the audience, and they're all eager to understand, how do they take all this wisdom, all this work that you've done and use that to drive some change in their own organizations? So any advice, any advice for all the manufacturers in the audience? Voho, let's start with you.

VOHO SEO: Yeah. I think we need a realistic view on AI. It can't help with everything. So we need to strike a balance of expectation. And the most important thing for all of these is experience. I really would like to suggest everyone dive into this big wave of technology. Until you experience it, you might not be understand, understand it. And there was an interesting statistic regarding the use of AI.

The time people spend on apps such as ChatGPT pales in comparison to other online services, such as search engine or entertainment platforms. This means there are a lot of things that people can do with AI, but many of them are having trouble making better use of it in their real life. So yeah, I would say we are at the tip of the iceberg, and we need to think about the long-term gains. It's a marathon, not a sprint. So we are going to see a massive changes depending on how we use it and how we interact with it.

SRINATH JONNALAGADDA: Yeah. And that's spot on. There is a lot of hype right now with AI, and we're going to go through ups and downs in how we navigate the world with AI. And as you said, it's about sticking with it. It's a marathon, not a sprint. I love that. Carlonda.

CARLONDA REILLY: Yes, I think that what I would say is we need to focus and we will continue to focus on creating value for our customer. Running simulations and doing the CAD/CAM is really fun. It's great. My engineers send me diagrams all the time on my phone, and I just love to click through it. But we always have to keep in mind that we're here to serve the customer and solve their toughest challenges and create value for our customer.

SRINATH JONNALAGADDA: Yeah. It's so easy to geek out on technology. What you said is correct. It's always about value creation. Let's stay focused on value creation. Andy.

ANDREW WARREN: I think what's key is finding out where you can connect your systems, the different systems inside your company. How that data travels through that digital model is what really makes things happen, digital thread. You need to find that value when you can get the data to travel from system to system without people and improve communication, which really reduces those change orders.

Sharing both the good and the bad is another thing. And making sure that you're learning from what's working well and what's not. Hey, this worked well. Maybe let's not do this again. And the way you do that is through data, not through emotion. So as a data-driven company. It's important that the way that you capture that data and be able to track and share that data across the digital thread.

SRINATH JONNALAGADDA: Yeah, so important. Learning mindset. Always be looking out for opportunities to learn whether it is a failure or a success. It's always a learning opportunity. Well said. Thank you all. Thank you all for sharing your insights. Folks, digital transformation--

Digital transformation isn't just about tech. We heard from the experts. I feel wiser, I feel more educated. Thanks for sharing all that. It's about bridging gaps from data silos to skills and even creativity with AI. Want more? Carlonda and Andy will dive deeper tomorrow in a theater talk, "Unlocking the future of manufacturing." That's the title of the theater talk. And you can also watch Voho's AI theater talk on-demand from earlier today. He's had two sessions. Three sessions, is it?

VOHO SEO: Three sessions.

SRINATH JONNALAGADDA: Three sessions. Wow, I mean, he's a pro. You have to give me some tips, yeah. Big thanks. Big thanks to our panelists. Let's give them another round of applause. Thank you. Thank you all.

All right. Now I'm excited to introduce my colleague and good friend, Derrek Cooper, who will share how you can use these technologies and learnings to transform your industry.

[MUSIC PLAYING]

DERREK COOPER: Thank you, Srinath. And a big thanks to our innovative partners at Bridgestone, Kennametal, and Kia. Andy mentioned something that really resonated with me. He said that transformations don't happen overnight. They unfold step by step, and we absolutely agree. Transformations are a journey.

Bridgestone had the foresight to see the big picture. They developed the trust in us to deliver the right technology and the confidence in themselves to drive the change. But figuring out that next step is often the hardest part. However, the answer is simple. The next step for you is about your data.

Srinath called the data the most valuable resource, and he's absolutely right. It's the lifeblood of modern manufacturing, yet too much of it remains disconnected, unorganized, and untapped. And in fact, 68% of data generated by companies just like you goes unused. This means we're missing out on countless opportunities for automation and insights.

So why is data so important? It's because it provides transparency across your entire business. Everything in today's manufacturing world has a digital counterpart, whether it's geometry, it's cost, or it's the factory layouts. Each data point has value.

But the real power lies in connecting the data across the product development process. This unlocks better decisions, more automation, and AI-driven innovation. This explosion of data is what fuels AI and manufacturers eager to tap into that potential.

We recently published our 2024 state of design and make report and found that 78% of firms believe that AI will transform their industry. But there's a catch. To fully embrace a data-driven future, it's not enough to just collect the data. You need to organize it, you need to connect it, and you need to make it work for you. This is where Fusion comes in.

Fusion isn't just another tool. It's our industry cloud for manufacturing designed for teams. It brings all of your data together, creating new possibilities. As you work in Fusion, everything is automatically represented in an ever-expanding graph in the cloud, so that as you move from concept to engineering to planning to production, it's all connected. Nothing is lost in translation, and the insights from across your team can be brought together to bring the best ideas to life. This is the experience you get with Fusion.

And the cloud platform it's built on also unlocks a lot of possibilities for other tools. Take Vault for example. It's a product that's near and dear to many of us in this room and those of you watching at home. We're going further by integrating Vault data into the ecosystem.

Historically, Vault data is critical for the engineering department, but its needs have grown and it's needed across the enterprise, helping to connect various disciplines and departments. With the Vault data APIs available on the Autodesk Platform Services, you can unlock the potential of your Inventor, AutoCAD, and other design data. It allows you to get deep data insights for better and faster decision making by empowering seamless integrations with modern cloud services like Power BI.

We're also breaking down data silos by connecting Vault data with other business systems, tools like ERP and even AI. Plus, it's never been easier to integrate Autodesk Platform Services like design automation APIs with Vault to automate repetitive design tasks. This is a total game-changer. It means you can store and organize your data in Vault, connect it to all of the other tools that you rely on. It's an approach that aligns with how modern companies work today.

And it's our commitment to delivering seamless, smarter data connectivity across your entire organization. As Srinath mentioned, Fusion's expanded capabilities now cover everything from early design all the way through to production. Customers who have adopted cloud-connected workflows are seeing significant benefits. Collaboration has become seamless. Cloud-based CAD allows multiple users to work on the same model in real time, accelerating design and review processes.

Connected data sharpens decision making, giving teams full visibility into product development, helping them catch issues early, reduce risks, and save time. Fusion also tackles one of the biggest challenges for teams, and that's controlling access to sensitive information. Fusion's permissions and administration tools give you full control over who can access specific data, maintaining security while empowering the right people with the right information at the right time.

That same trust is why we're able to build so many partnerships. One example is our new partnership with Paperless Parts. We're connecting more data to drive automation, making it easier and faster for you to produce cost-effective parts. With Paperless Parts, customers can generate quotes, make design tweaks, and reuse those quotes for future projects. This is the power of data when it's not wasted, but instead used as the valuable resource that it is.

I'll leave you with this. Data will be the foundation for every technological advancement in your industry over the next 50 years-- data that's organized, data that's connected, and data that moves seamlessly across your tools. Companies that take small steps with their data today, regardless of their size, will come out ahead. There will be more innovative, more agile, and efficient, and they'll be ready to harness the full power of AI, which is the true driver of transformation.

Many of these opportunities are available right now. And my colleague and good friend Stephen Hooper is here to show you how to use them. Please join me in welcoming Steve to the stage.

[MUSIC PLAYING]

STEPHEN HOOPER: And hello, everyone. It is great to see everyone here. And we do really appreciate you spending your valuable time with us today. Now, you just heard how flexible connected data all the way from design to production can unlock opportunities like better decisions, better collaboration, and above all, the opportunity for major AI productivity gains. Because when you move beyond repetitive non-value-added time consuming tasks, you can focus on what really matters to your business driving innovation.

For example, you heard earlier how Kia is using AI to generate near-infinite design variations in seconds. Rapid innovation is essential to staying competitive in the automotive design industry, which is exactly what Form Explorer, our new generative tool in Alias, is designed to help with. Form Explorer enables rapid concept exploration by learning from historical designs that define your organization styling language, so you can generate new realistic 3D concepts in seconds.

And when you want to optimize and predict the aerodynamics of these concepts, our agreement to acquire [INAUDIBLE] will bring AI-based wind tunnel simulation predictions to Alias, so you don't have to wait until later in the engineering process to find out you need to redesign. But it's not just for the automotive world. Soon, these technologies will be expanding to consumer products in design for Fusion.

But innovation isn't limited to the ideation stage of design. It encompasses the entire product life cycle. And so we're committed to saving you time by creating a seamless flow between the different parts of this process. By connecting data across all our tools, we've broken down traditional silos, accelerating productivity in every discipline.

Now for mechanical engineers, Inventor continues to improve, enabling efficient work on projects of literally any size. Over the past year, we've introduced new functional enhancements to make Inventor even more powerful and easy to use, like a new interface for designing sheet metal components that makes the process more modern with Intuitive controls, presets, and options, so you can easily find the features you need to complete your designs faster than ever.

Sheet metal design, along with a streamlined user experience, is especially important for Mastenbroek, who use Inventor to develop enormous pieces of earth-moving equipment that dig trenches on land and underwater. A Mastenbroek trencher is a massive assembly that involves over 300,000 unique parts. With a data set of that scale, design changes can be complicated and time-consuming.

That's why the associative assembly mirroring coming in Inventor 2026 is also groundbreaking. In the past, anytime you needed to mirror a complex assembly, if you replaced a part in the original assembly, the change wouldn't be reflected in the mirrored version. Now it automatically updates, complete with all its constraints, ensuring you never have to design the same thing twice, and updates remain seamless.

We're also excited to share more enhancements that will come with our next release, like part simplification, which optimizes the workflow to produce highly performant assemblies and data exchange with other systems like Revit. With over 140 additional functional enhancements and an extreme focus on quality, this is one of our largest and most reliable releases ever.

And it's not just Inventor users who demand large scale assemblies, so do, too, Fusion users. So I'm delighted to demonstrate industrial scale assemblies like those of Mastenbroek in Fusion. We've dramatically increased Fusion's performance 300% in the last year alone, which is now allowing large-scale engineering teams to work collaboratively on huge projects.

But Fusion also integrates electronics, industrial design, simulation, visualization, and manufacturing, which makes it the ideal platform for consumer products development. And as Srinath mentioned earlier today, consumer products are becoming more and more complex than ever. For example, the average smart TV has over 2,000 components. So whether you're designing a large piece of industrial equipment or an extremely detailed consumer product, Fusion can scale to meet your needs.

With the help of Autodesk's industry-leading product portfolio, we've also been continuously improving Fusion by adding more and more capabilities from our desktop products like PowerMill, Moldflow, FeatureCAM, Alias, VRED, Netfabb, AutoCAD, FlexSim, and more. And like Inventor, we've been making continuous productivity improvements in hundreds of different areas from electronics, mechanical engineering, industrial design, all the way through to manufacturing, so that you can realize the benefits of a connected end-to-end design and make process.

But in addition, when your data is open and accessible in the cloud and you've unified the workflow, then you can start to capitalize on the benefits of AI in every part of the product development process, from design through production.

So let's start with sketching. The key to avoiding problems in assemblies and improving productivity, in part, modeling is getting this right the first time. And to do that, we're automating constraint generation with Auto Constraint. Autodesk AI analyzes design sketches to identify the perfect set of relationships to maintain design intent. This means your sketches are always fully constrained without it taking any time or effort on your part, letting you focus on the fun, productive part of design.

And because your sketches are fully constrained, downstream reliability of designs is drastically improved. So when you come to model and assemble content based on these automated sketches, everything will work right the first time every time. Now let's move on to drawings. Last year, we introduced AI tools for creating 2D documentation. And already, we've automatically generated over 7 million dimensions for customers.

But we've continued to evolve this groundbreaking technology. Our new drawing, automation, streamlines design, detailing and drastically speeds up the creation of drawings, like recognizing purchase components and removing them from drawing sets, as well as creating generative dimensioning strategies to fully document your designs in seconds.

The consumer product designers, we've improved our automation capabilities in the electronics workspace with interactive automatic length-tuning driven by our new customizable design rules engine. We've also worked with Cadence to simplify the PCB design process, allowing PCB designers working in Cadence products to easily collaborate with their mechanical design partners working in Fusion. So no matter what tool you're working with, you can improve design quality, minimize errors, and ultimately reduce turnaround time for your customers.

So now that you've modeled, assembled, and documented your design, it's time to move on to manufacturing. It's this unification of process that makes Fusion truly unique. And again, Autodesk AI can help improve productivity. Our partnership with CloudNC has cut toolpath programming times in Fusion by 95%. And this year, we've integrated natural language AI prompts in Autodesk assistant with CNC machining to make it even easier to cut parts.

So for example, I can simply provide a prompt like machining the top face of this part, and Fusion automatically knows what to do and how to apply the relevant machining strategy. Now, this is completely unique in the market and drastically simplifies the user's experience.

And with the new cloud-based design automation service API for Fusion, anyone can apply Fusion's automation capabilities to their business processes. Like many of our customers who are investing more in manufacturing automation for online quotation and machining, helping them win more business and improve their profit margins.

But CNC machining is just one piece of the puzzle. Profitable manufacturing involves the entire production process, including the factory itself. Now, earlier, you heard about Bridgestone's smart factory of the future, where digital transformation extends beyond tools to connect the built environment with machinery, plant layout, and everything in between. When building and manufacturing operations are connected, you unlock new levels of efficiency, enabling you to make informed decisions sooner, hit production targets with confidence, and reduce time-to-market and costly inventory.

Simulation is key to making these informed decisions, allowing you to identify the need for changes in design workflows and products before costly physical changes are required. This year, we're enhancing this by adding the ability for FlexSim to consume native Autodesk file types directly. With a unified asset library. It doesn't matter whether you're using AutoCAD, FlexSim, Inventor, or Revit, you can take advantage of integrated factory modeling and simulation to ask critical what-if questions with confidence.

Take Autodesk's Birmingham manufacturing facility that you see here. And imagine we need to replace our two older machining centers with a brand new, faster Haas VF-2 milling machine. Now, before making that expensive CapEx decision, wouldn't it be nice to have the peace of mind that comes with digitally testing this proposal before ever spending a single dollar?

Well, because of Autodesk unified asset library, FlexSim can work with native AutoCAD geometry. So we can create an initial layout in AutoCAD, convert the file to 3D and FlexSim to simulate, move machines around and optimize the factory layout to ensure maximum productivity. And from there, we can convert the file to Inventor to get a fully detailed model of the factory layout where we can generate all necessary documentation.

And finally, we can import the building shell from Revit into Inventor, so we have a fully combined BIM factory model. This model can even be published to Tandem, giving the entire organization access to a full digital operations twin of the Birmingham factory facility.

Now imagine if your factory operated like this and you could ensure maximum efficiency and cost control with optimized power consumption and verified sustainability, all while guaranteeing that your products are produced right the first time every time. But the thing is you don't have to just imagine this anymore. This could be a reality for you today. With tight coordination from design to manufacturing all the way through operations combined with AI, you can transform your business unless you let one of your competitors get there first.

So we're excited to scale alongside you wherever you are on your journey, to make sure you do become number one in your industry. So now let's welcome Srinath back to the stage for some final thoughts. Thank you.

[MUSIC PLAYING]

SRINATH JONNALAGADDA: All right. As we wrap up today, I want to leave you with three key points. The first, the power to drive transformation is in your hands. It's not some far-off goal. It's a journey that happens with every decision you make and every step you take. Our platform is designed to help you connect all your tools. So if you're on a desktop or using third party tools, Fusion is here to help you get more out of your data.

Second, look at what we've heard from Kennametal, Kia Motors, and Bridgestone. These are companies just like yours using technology to push their industries forward. They're not trying to make massive leaps overnight. They're taking steady steps to become more connected, more creative, and more competitive. And so can you. It's about becoming a change agent and making progress that sticks.

And finally, AI is reimagining the way we design and make. It's no longer a nice to have. It's absolutely essential. By leveraging AI and data, you're not just keeping up, you're going to stay ahead. You're making smarter decisions, predicting what's coming next and opening up new opportunities.

So to everyone here, to all of us here, I hope you leave here inspired to take steps in your own digital journeys. Let's keep pushing the limits of what's possible. The potential of making the future is absolutely endless. Thank you for your time, and I hope you have a fantastic rest of AU.