Artificial intelligence (AI) has made an impact in various industries, such as transportation and manufacturing, and it has improved productivity. With the growth of reality capture devices in the construction jobsites, and the lowering cost of hardware, the construction industry is finally ready to capitalize on artificial intelligence and machine vision. This class will demonstrate how the construction jobsite can capitalize on machine vision to track progress, detect deviations, and calculate the quantity of work completed. Deep-learning technology classifies point cloud data into geometric and semantic segments, creating intelligent models automatically. Comparing scans with 3D intelligent-model qualities can be tracked accurately. AI enables you to eliminate the ambiguity inherent to the pencil requisition process. Comparing exact quantities of materials in place to the total project quantities gives you an accurate percentage complete of work in place, enabling you to make data-driven decisions.

Come and learn about our research, learning, and hurdles when working with generative design and artificial intelligence as they apply to the automotive design process.

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.

Building and infrastructure design and engineering fees have continued to constrict even as projects become more complex with stricter delivery requirements. Several design and engineering firms are in the process of remaking parts of their company to create a new way to deliver projects: Design Value-as-a-service. This panel of (4) executives from ENR Top 15 design firms will discuss how they are leveraging standard/repeatable workflows, big data, and human and artificial intelligence through process automations to create a new delivery paradigm that will revolutionize the engineering and design industry. A lot of discovery work is being done on internal processes, data authoring, data processing, automation, and market analysis to determine how this may drive high quality project throughput at scale. Come see the future of the industry as it begins.

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?

"Artificial intelligence (AI) has made a huge impact on making things, bringing with it radical changes in the way things are designed, made, and used. This class will demonstrate how to leverage Amazon Web Services to build, simplify, and streamline intelligent applications for the construction and manufacturing industries. We will walk through machine learning model deployment that can result in 2x better performance on resource constrained platforms such as mobile, desktop and edge devices (IoT). You will walk away from this Forge class with an understanding of how you can use AWS AI/ML services to accelerate innovation and time to market, and to develop new business models."

Intelligent models are now tangible to every member of the project team, and this has extensive ramifications. Now that project managers, superintendents, virtual design and construction (VDC) engineers, and forepersons are all operating with a BIM (Building Information Modeling) medium, construction can truly move into the information age. By embracing the principles of the last planner system, utilizing the interfaces of VDC, and employing the power of artificial intelligence, Grit Virtual is re-engineering not only how project teams interact with each other, but also how projects are delivered. Co-founder and CEO Chris Callen will introduce the Grit Virtual methodology, explore learned lessons from pilot projects, and share the Grit team's vision for what comes next.

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 Construction Cloud, 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.

In an era dominated by big data, artificial intelligence, virtual reality, and generative AI, the question on everyone's mind is: How can these groundbreaking innovations impact your business? Don't miss out on the opportunity to discover the transformative potential of collaborative digital twin solutions in our exclusive session, hosted by experts from Lenovo and NVIDIA. Picture a world where work becomes more efficient, interactions with decision-makers become seamless, and your supply chain operates smarter than ever before. With the fusion of Lenovo Workstations and the latest innovations in NVIDIA Omniverse Enterprise, we're here to demystify the challenges of digital twin deployment. Join us, and embark on a journey to master the art of intelligent transformation (I.T). Arm yourself with the knowledge and tools to not just survive but thrive in this new era of business excellence. Your future awaits!

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 HP, NVIDIA and Theia Interactive for a session exploring the technology trends impacting the world of product and architectural design. Discover how artificial intelligence and bio-analytics are enhancing the design process – from concept to delivery – and learn about the HP Omnicept bio-analytics platform. This session will include a deep dive into the AI at the heart of HP Omnicept as well as how to choose the right computing platform for such applications.

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.

Managing construction progress and safety is a visual process. How could Skanska leverage advances in artificial intelligence to save time and reduce jobsite risk on top of Autodesk’s BIM 360 platform? Skanska worked with Autodesk partner Smartvid.io to apply two kinds of machine learning to the challenges of progress documentation and Safety Risk reduction. Automated statistics were generated based on the detection of these risk factors in photos from Autodesk BIM 360 and used to benchmark project risks over time. For progress tracking, machine learning was used to analyze narrated jobsite walks and automatically generate searchable progress documentation. Photos from BIM 360 were indexed automatically, eliminating time spent on finding relevant photos and improving jobsite risk analysis. Managers could use search and collaboration features to find photos and videos by relevant tags, and share dynamic links to access them with both internal and external team members.

Artificial Intelligence (AI) and generative design (GD) are transforming the architecture, engineering, and construction industry toward a more efficient design process. But is the built environment in danger of losing social and equity values as a result? The powerful combination of GD and Generative Artificial Intelligence (GAI) has the potential to assist architects in improving building functionality and sustainability, enhancing value for architects, developers, and residents. However, ethical and social sustainability values may be overlooked if the metrics of the GD and GAI are not instructed to identify and prioritize them. This class will combine findings from a multidisciplinary research project from Carnegie Mellon University, and real-life architectural projects by HED. Learn how to prioritize important equity and social sustainability values in human-in-the-loop AI powered design frameworks, making ethical and socio-sustainable design decisions measurable and transparent to all stakeholders, for a more equitable and resilient built environment.

The built environment is fundamentally changing, empowered by innovation in virtual design and construction (VDC). The result is more-complex and increasingly elegant designs, as well as streamlined procurement and construction methods. This panel includes academic and industry leaders responsible for developing and implementing new VDC technology, including Hilda Espinal of CannonDesign, Ricardo Khan of Mortenson Construction, Forest Flager of Stanford University, and Danielle Dy Buncio of VIATechnik. The panel will discuss advancements seen on past and current industry projects in the areas of prefabrication, artificial intelligence, data analytics, virtual and augmented reality, and multidisciplinary design optimization. Panelists will use multimedia presentations and demonstrations to communicate the material to attendees to facilitate thoughtful and interactive discussion. Attendees will leave with a greater understanding of the impact that VDC has on project delivery and performance.

Will Plato, VDC Manager at Hensel Phelps, and Christian Claus, CMO and Head of Partnerships at HoloBuilder, will introduce and discuss his innovative use of construction technologies and co-developing Reality Capture, Computer Vision, AI technologies, and cross product integrations. Hensel Phelps has partnered with HoloBuilder to further develop their 360° photo documentation platform and solve immediate needs on projects throughout the Southwest region and beyond. Will’s and Christian’s presentation will outline how Hensel Phelps has leveraged technology to secure ROI and gain a competitive advantage. New developments that have been co-developed will be presented for the first time.