Process bottlenecks and related issues often require complex and dynamic solutions. Discover how FlexSim recommends process improvements from live data, and see how the FlexSim OptQuest optimization engine solves multidimensional problems. OptQuest uses machine learning to evaluate multiparameter input groups in order to strategically determine optimal outcomes across various performance objectives. This method provides faster and more intelligent solutions to intricate problems than manual techniques do. In scenarios with constantly evolving operational inputs, FlexSim can be configured as a live Digital Workplace, continuously operating at set intervals, and using live data streams based on system feedback and artificial intelligence (AI) predictions. This approach necessitates specific model programming, which we will explore. By implementing these advanced techniques, businesses can significantly improve their process optimization capabilities, addressing complex challenges more effectively than traditional methods allow.

Process bottlenecks and related issues often require complex and dynamic solutions. Discover how FlexSim recommends process improvements from live data, and see how the FlexSim OptQuest optimization engine solves multidimensional problems. OptQuest uses machine learning to evaluate multiparameter input groups in order to strategically determine optimal outcomes across various performance objectives. This method provides faster and more intelligent solutions to intricate problems than manual techniques do. In scenarios with constantly evolving operational inputs, FlexSim can be configured as a live Digital Prototyping, continuously operating at set intervals, and using live data streams based on system feedback and artificial intelligence (AI) predictions. This approach necessitates specific model programming, which we will explore. By implementing these advanced techniques, businesses can significantly improve their process optimization capabilities, addressing complex challenges more effectively than traditional methods allow.

Exceptional construction starts with clarity—clear communication, fewer points of contact, and a streamlined, client-centered experience. Our Operations Driven Design approach builds on that foundation, applying AI and machine learning to performance data captured from satellites, sensors, building systems, and more. From space to site, we translate complex data into actionable insights—informing 3D Digital Prototyping models, AR visualizations, simulations, and environmental trend analysis. This enables smarter planning, climate-resilient strategies, and optimized operations before ground is ever broken. Whether the project is infrastructure, vertical construction, or site development, we bring precision and foresight to every phase. The result? Data-rich design. Predictable performance. A better experience from start to Operations.

Artificial Intelligence are transforming sustainable design in the AEC—not just by assisting, but by accelerating and automating core environmental analysis tasks. Today, bespoke machine learning models can simulate complex climate factors like solar exposure, lighting performance, wind comfort, and embodied carbon with unprecedented speed—cutting simulation times by up to 99% compared to traditional methods. These AI-driven tools allow teams to run high-fidelity analyses in real time, enabling rapid iteration and better design outcomes from the earliest project stages. We’ll also look at how generative tools and intelligent code assistants are offering informed suggestions—optimizing building performance, ensuring code compliance, and integrating Sustainable Design seamlessly into daily workflows. Real-world case studies will highlight how these technologies are driving a fundamental shift toward smarter, greener, and faster decision-making across the AEC industry

Explore how you can use artificial intelligence (AI) to extend the reach and accessibility of catchment-specific machine learning (ML) in InfoWorks ICM software without sacrificing hydraulic fidelity. This session will introduce the concept of training surrogate ML models on local InfoWorks ICM simulations to predict flows at key locations across a catchment. You’ll learn how Autodesk is generating and deploying these surrogates to quickly forecast system performance without computationally expensive simulations. The approach offers a new way to support rapid scenario testing, stakeholder engagement, and real-time operational insight without hurting a hydraulic equation. The session will present a practical framework for integrating AI in a way that empowers more users and accelerates insights.

This session includes discussions and Autodesk machine learning experts for both AECO and Manufacturing industries. The huge advances we have seen in large language models are due to extremely large deep-neural networks’ ability to infer statistical patterns in large amounts of digital data. The industries where we design and make the world that surrounds us also have well-defined and consistent digital data. What would the implications be for how we design and create the world if we enhance them with appropriate and trusted AI solutions?

In this talk, we'll explore the transformative potential of generative AI (GenAI) in streamlining conceptual design processes. Our one-year collaborative journey with Kia Motors led to the development of a GenAI wheel concept design tool that bridges design inspiration to creation. Join the talk to discover how GenAI accompanies designers from establishing design directions to exploring design options, facilitating intuitive design workflows. Learn how to harness GenAI's capabilities to interpret designers' inspirations, generating limitless variants efficiently. We'll also discuss how we integrated design constraints into GenAI, providing designers with greater control. Join the conversation and explore the challenges and opportunities for GenAI to streamline your design workflows.

AI is transforming every company. An organization's technology stack needs to be flexible enough to respond to all the business demands for AI—now and in the future. For Autodesk users, the same systems that run your design technology today will be the main tool to access AI features both in the cloud and on your local machine. That combination of local and centralized AI features is important to understand as we implement the next generation of technology. In this panel, leaders from Dell Technologies, Intel, and NVIDIA will discuss the role of AI at the edge and how to build a strategy that works for the road ahead.

New tools like AI are automating tasks and giving us ways to analyze big data in new ways. But what does this mean for the CAD manager? Is the role more important than ever? Or is it outdated and headed for extinction? This award-winning panel is back to share insights on the digital transformation and important lessons learned from decades of experience. Learn from this panel of diverse CAD managers that are widely respected as leaders in their field. Hear their unique perspectives and solutions to challenges facing CAD managers from organizations of all sizes and backgrounds. The panel will discuss how new tools can make you more effective, while sharing where you need to enhance the human element. Hear how they've worked to embrace the future, while not forgetting the past and being productive today. Join us for a panel discussion that has become an anticipated AU tradition. Take this opportunity to learn from four CAD managers who have been there and done that.

This case study explores how we automatically ingested Autodesk Construction Cloud building information modeling (BIM) content (3D model, drawings, docs) using generative AI, knowledge graph technologies, and SAP gateways to automatically generate assets in SAP. This smart handover provides operations with an adapted data framework enabling rapid information contextualization to support any field engineering or maintenance problem-solving activities. In this POV—executed in collaboration with Autodesk, Capgemini, and Cognite—we've explored solutions to the two following business problems: How do we reduce the postdelivery bottleneck of asset creation in SAP from 12 months to less than one month, enabling bidirectional updates between SAP and BIM data sources? How do we reduce downtime and improve reliability by decreasing the response time following an event by 70%–80%? And how do we eliminate the burden of manual data gathering (contextualization) across multiple siloed systems and provide co-pilot support (generative AI) to summarize and correlate data sources?

Join us to unlock the power of AI in AutoCAD Toolsets, revolutionizing CAD by enhancing efficiency, precision, and innovation. Autodesk's AI empowers users to automate tasks, streamline workflows, and augment design intelligence. Features such as intelligent object recognition and predictive analytics accelerate the design process, reduce errors, and foster creative exploration. These tools not only automate dimensioning and optimize material usage but also can help preventing design issues, significantly speeding up the design cycle from concept to completion. AI-driven analysis tools evaluate performance, simulate real-world scenarios, and facilitate data-driven decisions for optimal outcomes. Enhanced interoperability with other Autodesk products and third-party applications promotes seamless collaboration among multidisciplinary teams, marking a transformative step for intelligent CAD design.

In this session, we'll use an interactive design-thinking approach to tackle this problem: How do you elevate both your tech staff and your tech stack to drive productivity and profitability across a digitally transformed project lifecycle? We'll consider the "What If" scenarios: What if we flip and elevate our perspective? What if, in addition to considering information as knowledge, knowledge is considered information and this big data is compiled, managed, and analyzed as an IT tool? What if we consider knowledge management as a productivity enhancement tool that integrates with any existing learning technology and acts as a catalyst to elevate technology adoption? What if we adopt AI power to augment human input and get faster at developing custom workflow training to develop industry skills and solve real-world challenges? We will identify insights into team engagement and productivity with a direct relationship to competitiveness, project planning, profitability, and ROI.

Building information modeling (BIM) plays a pivotal role in design, construction, and operations, integrating multidisciplinary data to paint the full picture of the project for greater visibility and decision making. That picture starts to get blurry and unreliable when data isn't accurate or relevant. How do you cut through all that noise to deliver a usable and trustworthy model / data set? Every model goes through distinct phases: authoring, preparation, and actual use. The model can have many downstream uses, but for it to be of value, the model itself must be prepped and the rich data within organized. We have assembled innovative virtual design and construction (VDC) leaders at Gray, Metromont, and Accenture to share how they approach complex models to ensure quality and data-driven deliverables. They will share the processes they have in place to perform QC checks of the models for construction preparedness, and they'll discuss data curation from models and field data to prepare for AI workflows to inform future projects.

The Trinity River Authority of Texas adopts a comprehensive wastewater management approach by seamlessly integrating InfoWorks ICM software with both network and plant model representations. This unique strategy enables the evaluation of more-holistic solutions, setting a new standard in the industry. Using the Optimizer software from Autodesk Partner Optimatics, the authority evaluates diverse infrastructure alternatives to optimize conveyance and treatment solutions. Focused on minimizing peak flows to the wastewater treatment plant, this approach assesses a range of strategies, including storage facilities, real-time control mechanisms, pumping options, and other alternatives. Furthermore, the Trinity River Authority automates the hydraulic model verification process using InfoWorks ICM and Optimizer, eliminating previous manual inefficiencies. This automation enhances accuracy and efficiency, ensuring the reliability of the hydraulic model and providing a robust foundation for future projects.

The water industry is undergoing a state of rapid change as it faces a $1 trillion global risk of damaging flooding and water shortages that could impact 5 billion people by 2050. It's estimated that 60% of global water utilities will be forced to undergo digital transformation of their infrastructure to adapt to growing risks and meet sustainability demands. Join the Autodesk water team as we explore how digital transformation is reshaping the way the world manages water and water infrastructure. Through the lens of Autodesk's desktop hydraulic modeling products—InfoWorks ICM, InfoDrainage, InfoWater Pro, and InfoWorks WS Pro—we'll explore practical examples of how rapidly advancing digital technology is helping transform the workflows of industry stakeholders, including utilities, consultants, engineers, water modelers, and others.

Sewer pipelines are buried and out of sight. They are underinvested in and rapidly deteriorating. There are millions of miles of sewer pipelines that require monitoring to determine the condition and performance of this critical infrastructure. The principal method that utilities use involves closed-circuit television (CCTV) mounted video cameras on crawler units. Video and photographs of the insides of pipes are interpreted by engineers trained in the art of sewer pipeline defect recognition. This time-consuming and expensive process usually carried out in the field is increasingly being challenged by the use of AI and machine learning (ML) image detection and recognition techniques. See how the integration of Autodesk's Info360 Asset SaaS asset management product and VAPAR AI/ML tools will transform the assessment of sewer pipeline conditions, leading to huge cost and efficiency savings and productivity gains. Learn how these inspections are used to identify failure modes and determine the likelihood of failure and remaining life of assets.

In partnership with Esri and Nearmap, Kimley-Horn is using high-resolution aerial imagery and deep-learning tools to transform workflows, gain unprecedented location insights, and make project delivery easier, faster, and more efficient. Attendees will learn how to address common firm challenges, improve design accuracy, and reduce rework using pretrained machine-learning models and up-to-date site intelligence. We'll discuss a wide variety of workflows and use cases, including how to automate image feature identification and extraction and seamlessly integrate those features into project drawings using the Autodesk Connector/ArcGIS for AutoCAD plug-ins.

Researchers and facility managers at the University of Florida collaborated on implementing Autodesk Tandem software in facilities and asset management (FAM) operations with the goal of understanding how digital twins (DTs) can improve operational efficiency, automate repetitive tasks, and enhance preventative maintenance. Get an in-depth understanding of how we flawlessly integrated sensor and actuator device data using an academic building's Revit model in Tandem to create a DT that monitors facility performance in real time. Explore the benefits that facility managers gain from incorporating operations and maintenance manuals, cut sheets, wayfinding capabilities, and system tracing into DTs, as well as visualizing their occupancy rates and usage. Implemented effectively, DTs can yield significant ROI by fostering efficiency, spurring innovation, and providing a competitive edge. Future plans include creating a campusverse of DTs, using FAM data to transition to cognitive DTs, and using DTs in the formulation of a comprehensive campus FAM strategy.

Our presentation will unveil an innovative sustainable-housing solution, marking a shift in construction. Seamlessly blending building information modeling (BIM) methodology with artificial intelligence and factory robotics construction, powered by Autodesk's advanced tools, our approach redefines industry standards. From artificial site analysis to streamlined construction documents and intelligent models, every step enhances efficiency and sustainability. Using robotics for off-site construction not only accelerates the construction process, but it also ensures safety and reduces waste. Our proven business model, originating in Florida and expanding to Texas and Georgia, underscores its effectiveness and scalability. This success story speaks to the future of construction, attracting a new breed of digital-savvy field workers. Join us as we showcase the feasibility of affordable housing production in any economic climate, illustrating how innovation paves the way for a brighter, more sustainable future.

As professionals navigate the delicate balance between skill erosion and enhancement, embrace the evolution of job roles and responsibilities, grapple with ethical considerations, foster collaboration and communication, and cultivate resilience and adaptability, it becomes evident that the integration of AI and human expertise is not a binary proposition, but rather a nuanced journey of exploration and adaptation. By engaging in ongoing dialogue, using technological advancements judiciously, and prioritizing the preservation of human-centered values and expertise, architecture, engineering, and construction professionals can chart a course toward a future where AI augments, rather than replaces, the ingenuity and creativity that define our industry's pursuit of innovation and excellence.