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 Workplace, 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.

The water industry is undergoing a state of rapid change as it faces a $1 trillion global risk of damaging flooding and water shortages that could impact 5 billion people by 2050. It's estimated that 60% of global water utilities will be forced to undergo digital transformation of their infrastructure to adapt to growing risks and meet sustainability demands. Join the Autodesk water team as we explore how digital transformation is reshaping the way the world manages water and water infrastructure. Through the lens of Autodesk's desktop hydraulic modeling products—InfoWorks ICM, InfoDrainage, InfoWater Pro, and InfoWorks WS Pro—we'll explore practical examples of how rapidly advancing digital technology is helping transform the workflows of industry stakeholders, including utilities, consultants, engineers, water modelers, and others.

In partnership with Esri and Nearmap, Kimley-Horn is using high-resolution aerial imagery and deep-learning tools to transform workflows, gain unprecedented location insights, and make project delivery easier, faster, and more efficient. Attendees will learn how to address common firm challenges, improve design accuracy, and reduce rework using pretrained machine-learning models and up-to-date site intelligence. We'll discuss a wide variety of workflows and use cases, including how to automate image feature identification and extraction and seamlessly integrate those features into project drawings using the Autodesk Connector/ArcGIS for AutoCAD plug-ins.

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.

Curious about the road ahead for AutoCAD software? Join Autodesk product managers and leaders for AutoCAD to learn about new features and functionality supporting the capabilities and workflows you need to drive more-efficient and more-collaborative projects. Discover how Autodesk is incorporating Autodesk AI into AutoCAD to elevate your design and drafting capabilities. Learn about the strategic insights and decisions driving development directions. Peer into the future of the product you use every day, and engage with Autodesk to help shape that product to better meet your needs and the needs of your company, project teams, and clients.

Join us to learn about AutoCAD software's AI features that make your drafting more efficient than ever: Smart Blocks, Markup Import, and Markup Assist. We'll start by covering Markup Import and Markup Assist, the workflow that uses AI to interpret and apply feedback from marked-up PDFs directly into your AutoCAD drawings. You'll learn how Markup Import and Markup Assist can enhance collaboration, drastically reduce the time it takes to incorporate feedback, and reduce errors in your design workflow. Then we'll review Smart Blocks, a suite of AI tools designed to streamline your drafting and drawing cleanup processes. We'll cover Block Placement, Block Replacement, Block Search and Convert, and Object Detection—all of which use AI to help you find, create, and use your blocks. We'll end the session with an opportunity to share ideas on how else AutoCAD might use AI to increase productivity, enhance collaboration, and improve your drafting and documentation workflows.

From 160 hours of manual work to just 30 seconds—Vía Ágora's transformation in industrialized facade breakdowns is groundbreaking. Through building information modeling (BIM) methodology and Autodesk's platform, efficiency and innovation soar. Starting with Revit software for architectural projects, intelligent models shape the project, coordinated via Autodesk Design Collaboration software. After ensuring harmony between structure, architecture, and installations, Autodesk Construction Cloud is used to track changes. Model Coordination analyzes progress, including industrialized facades and bathrooms. Moreover, One Click LCA calculates the building's lifecycle assessment for sustainability, while Autodesk Forma software assesses wind conditions during design. This comprehensive approach, blending tech and sustainability, elevates efficiency and environmental responsibility, positioning Vía Ágora as a leader in construction innovation.

Designers often face the dilemma of unlimited options and a limited timeframe. AiCorb is an ambitious AI design tool made to address this issue. Established in 2017 as a collaboration between a top Japanese general contractor and a pioneering U.S. research institute, AiCorb currently focuses on facade study and 3D modeling, offering two key features: interpreting a designer's intent from sketch to design, then converting from design to building information modeling (BIM) via a Revit plug-in. As a result, designers can cut down their work time for a mid-sized building feasibility study from eight weeks to less than one week. This class will also explore how AiCorb possibly plans to implement a feedback system that will generate optimal facade designs based on engineering analysis simulation results from apps like Autodesk Forma software. Participants will discover the potential of AI to enable "rapid prototyping" in the early design stages, and they'll gain insights into an innovative design workflow where the designer helps the client make better-informed decisions.

Uncover how Autodesk's transformative cloud technologies are reshaping the architecture, engineering, and construction (AEC) industry and bolstering sustainability. This session will dive into Ramboll's digital transformation journey, using Autodesk solutions in a data-centered approach—part of a broader data and AI strategy. Ramboll and Autodesk's innovative partnership, "Together for Better Outcomes," addresses industry challenges and delivers superior results. A distinct case study features Camino, a key solution developed in this partnership, along with tools like the Autodesk Construction Cloud platform, Autodesk Forma software, and Revit software. These tools equip every project member with vital knowledge, fostering sustainable decisions from design to construction. Detailed examples will underline how a data-centered strategy curtails resource waste and energy consumption, emphasizing the role a data platform plays in sustainability.

SAMSUNG C&T uses digital twins to optimize building operations. We have developed a digital twin with BIM and AI in an office building with a total floor area of 100,000 square meters, and we are utilizing it to operate the building. The basic functions are the Energy/Asset/Space Management, and Virtual Tours. In particular, the energy management function monitors building energy usage in real time. And we have developed 10 solutions for energy management that can save energy while maintaining the comfort of occupants in the building. These solutions are derived through AI-based machine learning models and optimization algorithms to provide real-time notifications to building operators for sustainable and optimized building energy management. Therefore, SAMSUNG C&T aims to provide efficient building operation and management services by simultaneously implementing digital spaces, going beyond the role of a construction company that constructs physical spaces.

Explore the forefront of MEP modeling efficiency with AI-driven automation techniques. This session provides a deep dive into the use of Avant Leaps tools within Revit software for sophisticated MEP design and conflict resolution. Attendees will learn how to harness automated pattern-based modeling to standardize and expedite the creation of MEP systems. The workshop will cover strategic applications of AI to detect and resolve clashes early in the design process, significantly enhancing coordination and reducing rework. By integrating these AI-nurtured solutions, participants will achieve more-streamlined project execution and improved team collaboration.

Artificial intelligence (AI) has the potential to significantly affect our industry. How can we use AI to improve our programming skills and make us more efficient? In this session, we'll go over the creation of a program using LISP to copy files from one location to another. Once created, we will use AI to convert a portion of that code into a visual basic script (VBS) so that the user can continue to work while files copy in the background.

Much has been made of the existential threat AI poses to many professions. However, due to the complex nature of architectural projects, we need not fear losing our design agency (or employment) to an AI architect. While there's work over which architects want and need to maintain control, there's also plenty of work that architects would gladly hand over to an AI bot. Using AI allows architects to focus on meaningful design work, rather than tedious minutiae. Also, by passing off more-menial tasks to AI, junior staff can be empowered to get more-meaningful experience. This will be demonstrated through practical examples of how AI is integrated into multiple workflows and processes at ZGF Architects, including project benchmarking, Revit automation/standardization, and semantic search of code documents.

The evolution of design and drafting has increasingly given us tools that inform and expedite our processes. But what can we learn from the implementation of CAD, building information modeling (BIM), and now AI to prepare teams for the future of design tools? Working at a multidisciplinary design firm encompassing planning, landscape, architecture, and interiors has shown me that technology adoption and digital maturity happen at different rates. But regardless of the tools used and efficiency in practice, projects are completed. Focusing on the finished work, lessons learned can become the quantitative outcomes we bring to the beginning of projects in this era of outcome-focused process. By distilling 50+ years of digital asset creation and the analysis of completed projects, we can uncover the potential embedded within our digital archives.

This session will explore the innovative integration of building information modeling (BIM) and artificial intelligence (AI) in advancing sustainable design, focusing on achieving LEED certification through an AI-powered BIM Process. The merging of AI with BIM marks a significant leap in design precision, efficiency, and sustainability, setting new industry benchmarks. This integration transforms the approach to LEED certification, using AI-driven analytics within BIM tools to make sustainable design accessible and effective. Through practical examples and case studies, attendees will gain insights into the practical application of different technologies—such as chatbots and dynamic dashboards—in real-world projects. This session aims to equip professionals with the knowledge and tools to use the synergy between BIM and AI, pushing the boundaries of what's possible in sustainable design.

Artificial intelligence (AI) is revolutionizing the operation and management of public water systems, improving efficiency, reliability, and sustainability. However, there is uncertainty about the value it can bring. By understanding these dimensions, participants will be better equipped to navigate the complex landscape of AI in water, fostering responsible and sustainable practices for the benefit of communities and the environment. We will discuss a multi-tier approach to using AI-enabled technology, such as that developed by Autodesk, to equip users to proceed with use of the technology. Each of the four tiers—cost-focused AI, performance-driven AI, human-centered AI, and socially responsible AI—has business goals and stakeholder values connected to it. For example, cost-focused AI results in efficiency gain or increased profits, whereas performance-driven AI would result in improved customer service or reliability, and socially responsible AI provides equitable infrastructure.

Teaching Tectonism to AI"" is an exploration that focusses on the convergence of AI and tectonism. Tectonism, as a leading subsidiary style of parametricism, poses a unique challenge for current text-to-image AI tools due to their limited comprehension of structural dependencies in architectural representations. The presentation will showcase the potential of merging structural topology generation tools with Generative Artificial Intelligence across various architectural typologies and how this is integrated into early stage ideations at Zaha Hadid Architects.

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.

Believing that perfect BIM models are essential for project success is a common misconception. This session debunks that myth, highlighting that the quest for perfect models is not only unrealistic but also uneconomical, especially for standard projects. We will discuss how stakeholder expectations differ, making a universally "perfect" BIM-model virtually impossible. Crucially, I will introduce strategies to manage imperfect BIM models effectively, using tools and technology like AI that help contractors work with imperfections as they do in 2D. Learn how embracing imperfect models can cut costs, save time, and provide a competitive advantage.