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 Forma. 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.

Join this session to learn how to utilize Toric, the construction industry's trusted no-code platform for data movement and pipelines. Discover how to automate ETL processes, migrate data, and execute full table backups without coding. Using Toric's Autodesk Forma connector, you can access project data and extract insights in real-time. We'll also delve into practical case studies from Gamuda and Commodore, illustrating how they've optimized data transfer across APIs, applications, and databases with Toric. By the end, you'll be equipped with concrete techniques to enhance your workflows and ensure efficient data integration.

Project stakeholders need to understand the state of their projects in a simple and easy-to-consume format. Autodesk Forma 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.

Join us to learn about our product strategy and all upcoming initiatives across our platform solutions for Insight and Autodesk AI. In this session we will be gathering feedback around tools within Autodesk Forma like Reports, Data Connector, Dashboards, and Construction IQ as well as learning about new Autodesk AI powered capabilities currently in development. This is a unique opportunity to influence the product roadmap and explore new ideas about the future of our products with our R&D teams.

Discover how leading companies are transforming automation with Datagrid.ai agents. Ever spent hours on a project only to redo it from scratch? Imagine an AI agent that redoes work flawlessly and automates it, saving you time and frustration. Learn how national contractors and renowned real estate companies unleashed AI agents on Autodesk Forma data to drastically reduce workloads and save hundreds of hours every week. In this talk, you'll uncover how to enable your data with AI agents that can harness knowledge and tools to automate tasks, uncover insights, and elevate productivity.

In this session, we'll explain what machine learning (ML) is, what it's used for, and how it falls into the discipline of artificial intelligence (AI), data science, and computer science. We'll also provide an overview of how ChatGPT works, and what other kinds of ML applications and models you can use to solve problems using data from Autodesk Forma, building information modeling (BIM), or any of our Autodesk services and APIs. This session will benefit everyone who would like to enable their teams to quickly gain insight from historical data, speed up learning, and create a more agile collaboration environment.

This session is a high-level strategy road map of how companies with a large project portfolio can use Autodesk Forma to take pragmatic steps within the Autodesk Forma user interface to benefit both in the short term and long term. We'll use real-world examples using Amazon Transportation Engineering Services (TES) as a case study. We'll work through the practical planning of using cornerstone Autodesk Forma features such as Issues and Forms, and we'll look at how building on the use of these features can lead to powerful QuickSight dashboards, and, later, robust machine learning. The presentation will be broken down into three categories: 1) The Foundation: using out-of-the-box Autodesk Forma features with specific use cases; 2) The Frame: building automations and integrations to aid in manual efforts (with a focus on Autodesk Platform Services); and 3) The Roof: advanced machine learning and AI using Amazon Web Services (AWS). For each of these categories, we'll investigate the appropriate tools available in our toolbox (Autodesk Platform Services and AWS).

As AI rapidly advances, we stand at the crossroads of AI's immense potential and the risk and challenges it brings. How will this revolutionary technology affect our workflows and jobs? Join us to learn how the latest AI innovations can accelerate creativity, visualization, and simulation instead of replacing our skills. Get an inside look at experimental projects that transform co-creation between designers and AI. With the right mindset and tools, we can harness AI as a partner to accelerate our creativity, not replace it. Be part of the AI revolution and discover how to co-create the future of accelerated design and creativity!

To meet global demand for affordable and sustainable housing, the architecture, engineering, and construction (AEC) industry must streamline the design-to-construction process. Modular builders—like Factory_OS—are doing just that by productizing their building systems to generate customizable buildings from a catalog of construction-ready unit types. With Factory_OS, Autodesk Research has developed new design methods that connect their building unit catalog with AI-powered generative design to create multiple design options. This case study demonstrates how new procedural design systems enabled rapid, no-code design exploration while balancing trade-offs between cost, carbon, and habitability. The study also showcases how the prototype made it onto Autodesk Forma using the developer extension model to deliver customized novel design functionality and metrics. Going beyond existing capabilities, Autodesk Research and Autodesk Forma enabled Factory_OS to rapidly and intuitively evaluate new development projects in a data-informed manner.

The productivity of architecture, engineering, and construction (AEC) is going down. Other industries' productivity arrows are pointed up, but ours is not. After 25 years of building information modeling (BIM), one would think it would be different. But it's not. There are probably thousands of reasons for that, and we would never imagine knowing a fraction of them. But we think one of the reasons, however small it is, has to do with how we work with Information today. Other industries are implementing artificial intelligence (AI) at scale. The AEC industry cannot. This inspiring talk will explore why not, will look at what we can do about it, and will provide a few examples that show we are on the right path.

This session will address the challenge of developing a vision and a strategy for lifecycle carbon credits to achieve net-zero carbon across any company's project, and on smart buildings globally. We'll cover the implementation of carbon-neutral standards and workflows to create a performance-based center of excellence that strives to build a better world. The focus is to streamline the process and evolve a sustainability impact program. We'll demonstrate processes for data extraction and show how to develop a proof-of-concept and visualize metadata through the Autodesk Insight data connector. We will demonstrate construction coordination and design solutions. We'll also cover the development of training modules to build awareness to scale the proof-of-concept on sites across North America, Europe, the Middle East, and Africa, and Asia Pacific. Finally, we'll highlight the sustainability impact of net-zero smart factories and data centers.

In this session, we'll explore how building information modeling (BIM) automation techniques have been used to create 15,000+ generative designs for critical water and power infrastructure projects using Revit software. You will learn which tools are available for design automation efforts, including generative algorithms and artificial intelligence, and how these techniques plus Revit are helping owners and engineers automatically assess the most climate-resilient infrastructure options in the preliminary design phase of projects. We'll showcase specific examples of how Revit is being used to serve underrepresented communities in Brazil that are most impacted by climate change—focusing on the automatic generation of embedded carbon calculation documentation, CAPEX/OPEX tables, 3D models, and more, for wastewater treatment plants and electrical substations.

Explore AI-driven manufacturing by integrating advanced language models with Autodesk Fusion 360 Manage. This presentation will demonstrate how AI can revolutionize manufacturing workflows, streamlining communication, collaboration, and data management. You'll learn how to use AI technologies to overcome common industry challenges and improve efficiency and productivity. We'll showcase real-world examples of AI-enhanced Fusion 360 Manage integrations for a seamless and effective manufacturing experience. Our practical live demonstrations will reveal how integrating AI reduces data-processing time, enabling faster decision making and agile responses to manufacturing changes. You'll leave equipped with the knowledge to transform your own workflows and unlock AI-driven innovation with Fusion 360 Manage.

With recent advances in generative models, many industries must adapt to offer more-intuitive solutions to interact with their expert software. The challenge ahead is to combine this expert knowledge with artificial intelligence (AI) to include more-natural ways of interacting with our tools while remaining precise and controllable. In this talk, we will discuss our solution to achieve this for content creation in Maya software. We'll present a high-level overview of the architecture to better understand the integration of the Microsoft Azure OpenAI services in our product. Then, we will discuss how we improved the inference model bridging the gap between research and production. We'll also show a demo of our plug-in in Maya software on a complex scene. You'll leave this session knowing how to prepare a proper data set for code generation from prompt, how to design a structured context improving the accuracy of the generated response, and how to maximize custom embeddings to handle more-complex use cases.

RADiCAL's artificial intelligence (AI) enables 3D motion capture, animation, and content solutions for film, gaming, and live events for everyone, everywhere. Our AI delivers an end-to-end software-only solution, generatively going straight from a single 2D video to 4D skeletal joint rotations, in real time, requiring no coding, hardware, investment, or training. Camera, browser, internet: done. In this product demo, we'll explain how RADiCAL Live works, how you bring real-time, multiplayer, motion-capture data into Maya software. We'll go into RADiCAL's development road map (including feature sets to be released soon). And we'll cover how we continue to partner with Autodesk in the creation of a truly democratized, end-to-end, cloud-based, collaborative content-creation platform that has AI at its heart.

The assessment of CAD is extremely resource intensive. Dr. Tom Peach of University College London (UCL) estimates that marking Fusion 360 submissions for a single cohort takes two months of man hours, without even considering the time spent delivering content and supporting students. The session will outline how this entire process was completely automated by Fabrio this year, turning around 1500 submissions within a day. Grades were ready for students 50 times faster, while also improving accuracy. Integrating Fabrio into UCL's teaching plans addressed a number of key pain points faced by institutions across the world, including developing content, low staff-to-student ratios, and general limitations in assessment styles. This session will also highlight how the same learning paradigms can be applied in the corporate space (e.g., onboarding, upskilling, or preparing for certification).

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.

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.

In this session, we'll explore the intricacies of drainage design workflows for transportation projects, including rail, roads, and highways. Using Autodesk's InfoDrainage and Civil 3D software, we'll present a streamlined workflow that facilitates the interaction and data exchange between both software solutions, with a special emphasis on drainage for transportation-related projects. One of the key learnings will be spotlighting the data exchange and results migration capabilities between civil design software (Civil 3D) and drainage design software (InfoDrainage), without the interjection of spreadsheets. Additionally, we'll highlight InfoDrainage software's machine learning (ML) deluge feature, with emphasis on its potential to expedite the concept and early planning process by rapidly identifying ponding locations on a site. Testing data showed the ML deluge outperforming traditional deluge by identifying ponding on a site in four seconds compared to more than nine minutes.

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.