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

This session will demonstrate how artificial intelligence (AI)-augmented systems streamline coordination, automate clash detection, and deliver natural-language-driven responses using Autodesk Platform Services connected data. Explore future-forward workflows that use AI integration with Autodesk tools like Revit, Navisworks, and Autodesk Construction Cloud. Discover how machine learning, deep learning, optical character recognition (OCR), and natural language processing (NLP) amplify project insights, enable query-based model exploration, and drive intelligent Automation, Integration, & Customization. Learn how Dewan achieved up to 70% efficiency gains, cut coordination prep time by 40%, and achieved processes up to 6,469x faster—all while enabling its workforce to confidently adopt and evolve with AI-driven custom tools. Walk away with actionable strategies to embed scalable AI, empower teams, and accelerate project delivery across every stage of the lifecycle.

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.

An often-overlooked sustainability challenge in the architecture, engineering, and construction (AEC) industry is: What should we do with all existing individual houses? Current technology enables sustainable design of new houses. However, climate change cannot be addressed without tackling the existing building stock. More than 62 million single-family houses need thorough renovation if we are to fulfill the EU climate ambitions by 2050. This means tackling 6,000 houses per day, starting today—in Europe alone! We'll demonstrate how artificial intelligence (AI), and generative design will support building owners and architects to quickly come up with new sustainable design options, ready for industrialized prefabrication with standardized elements. In this session, you'll learn how AI can add flexibility in the design with standardized elements. You'll find inspiration for a new balance between standardization and flexibility. We'll show applications for detached houses as well as terraced houses with complex shapes and requirements.

Project stakeholders need to understand the state of their projects in a simple and easy-to-consume format. Autodesk Construction Cloud users can maximize the power of Construction IQ software to produce predictive insights and display the project analytics in a powerful but easy-to-understand dashboard with live links to the information. Construction IQ, with the help of machine learning, allows the architecture, engineering, and construction (AEC) teams to prioritize issues, and streamline and expedite decision making, thus improving the project delivery outcomes for all stakeholders. This presentation will showcase GHD's use of machine learning within Construction IQ to surface the data on safety and quality, enabling the resolution of issues before they become critical on site. Through this session, you'll better understand how to implement Construction IQ on your project today, gaining insights into projects that otherwise wouldn't be possible.

Data is the foundation of any digital transformation, without which water utilities are unable to make informed decisions or optimize processes. Overcoming data hurdles in digital transformation is crucial for water utilities looking to merge IT and OT—with the greater aim to scale data's essential use across a given organization. With Anglian Water Services, the Autodesk team implemented operational smart technologies by clearly defining roles and responsibilities for data management, setting up data quality checks for water quality and distribution data, and implementing data security measures to ensure the integrity and protection of sensitive information. With data moving to the forefront of its operations, Anglian Water maximized advanced analytics and artificial intelligence (AI) technologies to save £150,000 a year at certain treatment plants. Teams were able to make sense of large and complex data sets, uncover hidden insights, and automate decision-making processes.

Join us for an exciting presentation on the intersection of ChatGPT and building information modeling (BIM) energy analysis in sustainable fractal design through the use of fractal patterns and structures in the design of buildings. Fractal architecture aims to create a functional connection between the built environment and the natural world, promoting a more sustainable and harmonious relationship between buildings and the earth's complex ecological systems. In this talk, we'll explore how machine-learning algorithms like ChatGPT can be integrated into fractal design to optimize building design for maximum energy efficiency and sustainability. We'll also discuss the potential that sustainable fractal design has to reduce a building's carbon footprint and improve indoor air quality. You'll leave with a practical understanding of how to capitalize on these innovative tools and approaches for your own building design projects

If you're excited about AI and have ideas about how it might apply to AutoCAD, join us for a discussion on insights, automation, and machine learning (ML). We'll introduce AI technologies, learn how AutoCAD is currently using them to enhance your design workflows, and engage in an open discussion about how you would like to see AutoCAD leverage AI and machine learning. Come ready to share your ideas and what excites you most about AI in the CAD industry!

If you want to learn more about how to use visual, generative, artificial intelligence (AI) tools in your workflows, then this class is for you. Regardless of their industry, artists and designers are discovering the advantages of an AI-powered workflow, making their processes faster, and allowing them to iterate over their products in ways that wouldn't have been possible or cost-effective before. We'll examine and cover the strengths and weaknesses of different tools, such as Midjourney, Dall-E, Stable Diffusion, and some plug-ins for Revit software. Most importantly, we'll go over use cases for different industries that go beyond simple text prompting to give artists and designers more control over finished products. We'll showcase how we can use generative AI as a powerful visualization tool for creating images and even videos, and how it can help unleash creativity in game design, media, and building design.

In this Lab, participants will use Forma to set up their own project and start designing and experimenting! We'll cover how to use our rapid operational energy analysis to see and build intuition on the impact of compactness, orientation, and with a few other basic building parameters on operation energy. We'll dig into our AI-powered operational energy analysis to understand how a building's form and primary materials impact the energy consumption and subsequent carbon. We will look at the tradeoff between these ad other analyses, including sunlight, noise, utci and wind to empower you to balance trade-offs and learn how to design in an informed outcome based way. The built environment isn't optimized for a single objective; you need all of this information in the same place and with Forma you get that all in the browser. We will also showcase how Forma is engineered for collaboration.

Fail fast, as they say in tech. Our mantra for conceptual design is "Turn every stone.” That's why we've used Autodesk Forma as a tool for optimization and design evolution since it was conceived as a startup in Oslo, Norway. Autodesk Forma has played a pivotal role in the development of our 10-step methodology, which aims to increase the sustainability ambition in our projects. It has finally provided the much-needed support for data aggregation and seamless integration with our modeling software. The implementation of Autodesk Forma in our practice, from sketch to detail phase, has helped us create a transparent dialog with our clients and regulatory authorities, based on rich and objective information. It empowers us to find the best architectural solutions tailored to the unique characteristics of each site. In this session, we're excited to share a selection of large-scale urban projects in Norway that have been shaped up in Autodesk Forma and are transforming the urban fabric, leaving a lasting impact for generations to come.

Due to our unique involvement in the Forma pilot program we would like to share our experience with the AECO community. The Forma-to-Revit-and-back-to-Forma workflow (via Forma Plugin) is a powerful tool for architects and designers seeking to streamline their design process. Forma provides an intuitive platform for creating complex geometries and analysis while Revit's advanced BIM tools enable designers to create detailed building models. The ability to seamlessly transfer between the two programs allows for easy collaboration and communication between team members, resulting in a more efficient and effective design process. This workflow is particularly useful for architects and designers looking to create complex designs in a fraction of the time it would take using traditional methods. By integrating the strengths of Forma and Revit, designers can create more accurate, energy efficient and detailed models, which can be used for construction and documentation purposes.

Decisions made in the earliest stages of design have the most impact on a building's carbon footprint. Similarly, decisions made in the earliest stages of software development have outsized effects on its usability and adoption. Yet, carbon experts are generally brought into the design process too late to influence a building's form and primary materials. And analysis tools usually target these experts, rather than the designers working in the early phase. Likewise, the software users are often brought in when it's too late to change the fundamental workflows the software is built around. In this talk, representatives from Forma and Stantec will cover how they've used their partnership to develop tools for all designers to bring carbon-focused design to the conceptual phase. They'll showcase discovery work, prototype testing, and, in the end, their plan for enabling sustainability-centered outcome-based design.

Machine learning is a much talked about and relatively new way for creating artificial intelligence systems and applying them to complicated problems. KLH Engineers is applying artificial intelligence to solve challenging problems in the architecture, engineering, and construction (AEC) industry. This class is a case study on applying machine learning to the problem of MEP element placement based on BIM (Building Information Modeling) data provided by other consultants. Attendees will discover how KLH applied a machine-learning algorithm to classify BIM objects in a room.

To manage the ever-increasing complexity and collaboration in the creation of physical assets for LAIKA's hybrid stop-motion/CG features, a Shotgun-based integrated browser workflow was developed that enables automated resource leveling and scheduling in a centralized system accessible to the entire studio. Highlights include a new custom charting application that integrates with the existing Shotgun infrastructure, as well as the use of Consilium Technology (recently acquired by Autodesk), a new, machine-learning-based, automated resource-leveling system that effectively balances and assigns resources. Together, they turn a time-consuming and error-prone manual leveling process into a fast and automated procedure that generates an accurate, adjustable, easy-to-communicate schedule.

We4bee pursues the goal of establishing a worldwide network of high-tech beehives. This is not only to promote environmental research and education, but also to establish an early warning system for earthquakes and other natural disasters. This project collaborates with the University of Würzburg, Germany. In this class Dr. Claudia Leikam (CEO of we4bee), Professor Hotho and Padraig Davidson from the Chair of Computer Science X (big data and machine learning), Professor Jürgen Tautz (THE bee expert), and the engineer Hans Neumayr will give us an overview about this research project. Hans Neumayr used Fusion 360 software and EAGLE software to create the electronics equipment and some mechanical parts of the beehives. Professor Hotho and Mr. Davidson will provide information on data collection and analysis. Professor Tautz is the well-known bee expert, and Dr. Leikam will give you a view of the scientific aspects of this amazing project.

In this class, we’ll take a look at the road map for Alias software.

Integrating building performance analysis results in the early stage of conceptual design supports effective design exploration and decision making. Such integration requires domain expertise and can be technically challenging, time consuming, and computationally expensive. Machine learning demonstrates great potential for building seamless workflows that provide faster analysis feedback. However, one of the challenges in the architecture domain is the lack of diverse data sets to train effective prediction models. This talk will provide a brief overview of the potential of machine learning in building analysis-prediction models and demonstrate how we can capitalize on generative design to compensate for the lack of data. We will present a workflow where generative design features for Revit software, Dynamo software, and Insight software are used to generate a synthetic data set for training a machine-learning model for energy-analysis prediction.

Generative design, machine learning, algorithm, neural network—these terms flood social media and technical forums. But are you familiar with these concepts? If the answer is no, welcome to the first generative-design class for non-geeks! There is no need to hold a degree in computer science or to work on the most-innovative projects; everybody can optimize their workflows using Dynamo software and Generative Design in Revit software. In this class you will learn how to take your automations to the next level where you set the rules and select the end solution among the fittest results. After this session, you will be equipped with a set of samples to start optimizing your daily workflows.