Are you interested in building a data-driven organization but you have poor visibility into key project information to help you plan and strategize? Are you struggling with data silos that prevent you from getting meaningful and actionable insights? Learn how to maximize data and analytics across the construction lifecycle to empower teams across various functions and workflows. Whether you’re looking to better understand the health of a specific project, assess team performance, review the status of your overall project portfolio, or explore ways to optimize new projects for improved outcomes, this session will show you how Construction Cloud can deliver unified data, analytics, and reporting capabilities on top of a robust, secure, and scalable data platform built for the architecture, engineering, and construction (AEC) industry.

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.

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.

Estimating teams play a vital role in winning new business. Yet many of today’s solutions lack collaboration, require a highly manual process, and too often result in siloed data across teams. Join this session to learn how estimators can benefit from next-generation 2D and 3D technology to deliver best practices in quantification and estimating. You’ll also learn how Autodesk will be driving the industry forward with connected, cloud-based, preconstruction planning tools with the power of automated tooling and machine learning.

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.

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.

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.

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.

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.

As the relentless march of technology continues, it's becoming increasingly imperative to explore the boundless possibilities and potential of artificial intelligence (AI). In this thought-provoking session, we'll shed light on the exciting developments and chart our course ahead. We'll delve into the evolving landscape of AI, and examine the profound impact it has on industries and society as a whole. We'll embark on a captivating journey that explores the innovative advancements in machine learning, deep neural networks, and natural language processing, among others. And we'll highlight the real-world applications and transformative potential they offer. Renowned AI experts, industry pioneers, and forward-thinking professionals will share their insights, experiences, and strategies for harnessing the power of AI. The discussion will revolve around critical questions, such as: What's next?

With the rise of artificial intelligence, machine learning, and prefabrication, a lot is going to change in the next five years. During this roundtable, we would like to have a discussion on how these new technologies will change our current processes, our company, and our careers. How will prefabrication and modular construction affect the build process? Will machine learning replace structural engineers? How will computational design affect architects? Will everyone in our industry have to be a computer programmer? How much of it is hype versus reality? These are the types of questions we’ll be asking and will want your knowledge on. Come join our community of thought leaders and industry disruptors as we tackle practical ways to advance the architecture, engineering, and construction industry!

Join Chris Bradshaw Senior Vice President of Media & Entertainment, Education Experiences, and Impact at Autodesk to learn about the trends that will help create your future of making things. We’ll feature stories from companies around the world who are embracing new methods and technologies to catapult how they innovate. Foster + Partners’ Martha Tsigkari and Miles Walker will discuss the impact of computation and innovation on the design and delivery of projects such as Mexico City’s airport. Autodesk’s Mike Haley will give a peek into what’s on the technology horizon, including machine learning, AR/VR and robotics. You’ll leave inspired to embrace this future in your own work.

"One of the biggest hurdles in using an STL mesh model for a downward manufacturing application is the lack of geometry feature information in the STL file. This class will demonstrate how machine learning techniques can be applied to extract geometrical information from mesh models; and explain the process of building machine learning models, feature engineering for mesh data, and parameter tuning. We will also cover Autodesk Forge integration for data translation and viewing; and demonstrate how to use AWS cloud infrastructure such as GPU computing for big data and AWS Lambda for fast online predictions."

Construction IQ powers the BIM 360 software’s prediction and analytics ecosystem with built-in machine learning and AI functionality that automatically analyzes data collected and stored in BIM 360 to help to identify and prioritize the construction risk that happens every day during project execution. Get a peek into how the AI in BIM 360 Construction IQ makes decisions to provide predictive insights to the users. This will be followed by a live product demo and walk-through of how to get the most out of Construction IQ and the BIM 360 dashboard ecosystem. Gain important tips and tricks on how to obtain better and better results daily by incorporating Construction IQ in your workflows, and learn from the success of some of our customers about how to use the power of data. This will be an excellent opportunity to interact with the product team and get your questions answered.

The ability to manage risk on construction projects is using key data on practical timeframes. During this session, Justin Levine (head of risk strategy at BuildingConnected) and Pat Keaney (director of BIM 360 Enterprise Products) will share strategies for getting ahead of risk with a recurring and data-driven subcontractor qualification process, artificial intelligence, and machine learning.

Autodesk is bringing together human experts, machine learning, and self-help to answer your questions and get you back to work faster. In this session, you'll hear in depth about the new unified help feature that you’re starting to see on Autodesk.com pages. Hear what we're doing with artificial intelligence for more relevant answers and quicker connections to the right human experts. See behind the scenes of the new capabilities—and influence what’s to come.