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.

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.

Bifrost is a powerful graphical programming environment for creating procedural visual effects simulations, geometry, rigging, and animation. In this session, we'll showcase new, modular, deep-learning workflows in Maya software using Bifrost. We will demonstrate how to use Bifrost for procedurally generating training data for AI systems, as well as how to deploy trained AI models in Bifrost using new Bifrost nodes designed for deep learning. The session will include practical examples of industry problems that are suited to a media and entertainment audience, such as using AI for complex rigging kinematic solvers.

This presentation will dive into a groundbreaking case study of BRK Ambiental, Brazil's second-largest water utility, which implemented advanced automation techniques in the design of water and wastewater treatment facilities. We will explore how the use of generative design software not only streamlined the utility's infrastructure design processes, but also significantly reduced project timelines and costs, while enhancing compliance with stringent environmental regulations. Attendees will learn about the specific challenges BRK Ambiental faced, including the need for rapid design of wastewater infrastructure to meet increasing demand and compliance pressures. The session will highlight how automated design tools facilitated innovative solutions and accelerated project delivery, setting a new standard for efficiency in the water utility sector.

With the dramatic shift in the diverse use cases of real-time visualization, traditional 3D CAD, high-performance computing, and generative AI across industries, a one-size-fits-all approach is no longer viable. Balancing increasing IT demands, tighter deadlines, and budget constraints necessitates investing in the right technology for the right users at the right time. AI is emerging as the defining technology of our era, and determining where to start can be challenging. In this session, discover how to best equip your organization for success with insights into using Lenovo solutions to maximize your Autodesk experience—from initial steps to hybrid working, generative AI, and larger global deployments—helping you reduce costs and enhance workforce agility.

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 Construction Cloud 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.

The Volterra-Detroit Foundation (VDF) set out on a mission to digitize the history of Volterra, which dates back beyond the Roman era into the ancient histories of the Etruscan era. VDF won an Epic MegaGrant from Epic Games to use the Unreal Engine back in 2020. Now, with Autodesk and Epic partnering even closer, there are so many wonderful workflows that we've used to activate all the survey data into Autodesk and Epic products. This class will focus on taking data from products like ReCap Pro, ReCap Photo, InfraWorks, Revit, and 3ds Max software into the world of Epic with products like RealityCapture, RealityScan, Twinmotion, Quixel, and the Unreal Engine. This will be an in-depth technical course that shows the picks and clicks involved in getting through some of the toughest challenges the foundation faced while digitally preserving the wonderful history of Volterra.

Join us for a talk on how you can easily integrate generative artificial intelligence (AI) into various 3D project workflows using tools such as Revit software or 3ds Max software via the NVIDIA Omniverse platform and OpenUSD interchange. We’ll show you examples of how to automate tedious 3D work and alleviate time-consuming tasks to help accelerate time to production and maximize creative exploration. You’ll learn how to connect generative AI tools and technologies such as ChatGPT or LLM integrations, Instant NeRF, and Omniverse DeepSearch to take over repetitive work, freeing up time to focus on more-meaningful work. You’ll also learn how to use generative AI to improve the quality of your work and create new and innovative products and services. This talk is essential for anyone who wants to stay ahead of the curve in the ever-changing world of technology. Don't miss out on this opportunity to learn how AI can help you do more of what you love.

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!

Change is happening at breakneck speed. Getting blindsided by unexpected forces can be disastrous. How do foresight experts prepare their organizations to get ready for the future, seize opportunity, and mitigate risks? In this roundtable, Autodesk's Strategic Foresight team will help participants prepare to confront industry uncertainty. Participants will learn about key industry forces, and will discuss the drivers they're tracking in their sectors (e.g., next steps for machine learning, impacts of our aging populations, and knock-on effects of supply chain disruption). The moderator will share implications linked to each of these forces using a "suitcase of futures” containing fictional props that make possible circumstances feel vivid. Using these compounding forces, participants will learn to reverse-engineer preferred futures into concrete actions. Participants will leave the session with new foresight skills and information about forces that will help improve their future readiness.

In the post-pandemic era, organizations grapple with a dynamic workforce, making knowledge transfer a significant challenge. This fluidity necessitates that knowledge is not only stored effectively but also promptly retrievable when required, given the constant influx and outflow of personnel. Autodesk Construction Cloud, with its unlimited storage capability, is aptly serving as a robust knowledge vault for Sunway, enabling the firm to overcome this hurdle. The Autodesk Construction Cloud Files feature allows us to search keywords within contents, a strength we've capitalized on to maximize its utility. Today, we're pushing boundaries further by integrating Autodesk Construction Cloud with ChatGPT via OpenAI API. This integration embeds our files into vectors, forming the foundation for a Q&A system. This groundbreaking approach signifies a knowledge revolution, ensuring seamless knowledge transfer and accessibility, regardless of workforce dynamics.

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.

Join us to see how GOLDBECK used the new AEC Data Model and Data Exchanges offered by Autodesk Platform Services to democratize data access across departments and different applications. Our session will highlight how we access data from native software tools using Data Exchange, reducing the need for manual data drops and empowering stakeholders to make informed decisions based on a single-source-of-truth AEC Data Model. With AI-based prompts powered by ChatGPT, we will illustrate dynamic ad hoc queries, enabling users to find, access, and consume model data in a new, intuitive way (for example, "Show me the CO2 footprint of all windows”). Our real-world examples showcase interactive data visualization and collaborative platform services that allow you to provide relevant data to different project stakeholders throughout the project lifecycle. Learn how to harness innovative technology with the AEC Data Model API and Data Exchange API to streamline workflows, break down data silos, and make data available everywhere.

Architects today face challenges in task management, fragmented data flow, project complexity, sustainability, and maintaining quality control. Discover how Forma, Revit, 3ds Max, AR/VR, and other digital tools empower architects to overcome these challenges, automate tasks, foster collaboration, and adopt a holistic approach to design. Join us in this inspiring industry talk where we will explore how these tools are improving the design process, enabling architects to unleash their creativity while addressing environmental challenges and delivering sustainable, future-proof buildings.

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 Construction Cloud 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.

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.

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).

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.