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Industry Talk / Las Vegas 2018
Build a Machine Learning Valve Design App Using Autodesk Forge and simulationHub
Machine Learning (ML) techniques are now widely being used in almost all industries. This course focuses on how you can use ML in  the design of Mechanical Systems. We will share our insights on developing a methodology for quickly building a ML design app for the most common control valve type (the Symmetric Butterfly Valve), and how you can use numerical or experimental data generated from simulationHub to train your models. This class will step through machine learning fundamentals, data analysis, training and validating a ML model; and how to generate new 3D designs based on ML using Autodesk Forge.
Industry Talk / Las Vegas 2018
Future of Project Risk Management for GCs [Showcasing a Real Project Story]
With the advent of machine learning and advances of technology adoption in the construction industry, the bar is moving higher for general contractors; as a general contractor, you must make sure you stay abreast of recent advances and are well positioned to capitalize on data for managing risk. In this class, using a case study, we will go over the following: how the next-generation BIM 360 platform is designed to create a single source of truth for the lifecycle of projects and a storage for all data in one place where a general contractor can use different solutions in a connected manner; and how Autodesk is going to take it a step further and by Project IQ, make the platform the source of intelligence through the project.Regional quality director from Swinerton, Project manager from Layton, and Technical Deployment Specialist from Bam will then talk from their perspectives about their experience on adoption of BIM 360 to capitalize on data to manage risk and make decisions, and how they feel the platform is transforming their day-to-day job and productivity.
Instructional Demo / Las Vegas 2019
Designing Environments for Machine Learning Agents
This class will examine designing environments for visually capable Machine Learning Agents to train in. Looking at both modular, procedurally generated environments and non-generative spaces, the class will cover constructing environments to promote generalization and learning. Additionally, the class will give an overview of the design constraints imposed when training AI, including vision sizing, computing power, and graphic fidelity. The class will dissect the Unity Obstacle Tower Challenge environments, including their construction in Autodesk Maya, the modular structure, and procedural generation. The class will also survey the possible issues in adapting an existing digital environment to use with AI.
Industry Talk / Las Vegas 2018
Custom Graphics Visualization and User Interaction in the Dynamo Viewport
This session focuses on building customized rendering workflows in the Dynamo 3D Background Viewport, allowing very efficient display of geometries. Furthermore, by tracking the mouse position in the 3D viewport, interesting ways for users to directly manipulating the 3D objects can also be done! This will open up many possibilities for integrating exciting computational design algorithms into Dynamo, especially those that relies on iterative algorithms commonly found in computational geometry, optimization, simulation, machine learning, etc... An example of what can be achieved with this kind of approach is DynaShape, which features real-time interactive physical and geometric constraint solver.
Roundtable / Las Vegas 2017
Fusion 360 Drawings and the Mythical D Button
The Fusion 360 Drawings Team has started its journey to achieve a more efficient drawing creation workflow so that a designer can focus better on the real design work. Starting from the very versatile but easy-to-use Center Mark Pattern feature, this class will show how these new functionalities and algorithms can help greatly reduce both the workload and the learning time of the drawing process. And we'll discuss the future of faster dimensioning, smarter (automatic or semi-automatic) view and annotation creation, and user style machine learning.
Instructional Demo / Las Vegas 2019
How to Effectively Mitigate Risk in Construction Using Data, AI, and Machine Learning
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.
Industry Talk / Las Vegas 2018
Knowing the Future Today: Predicting Safety Risk with AI and BIM 360
There is a well-established precedent for predictive analytics in business. In 2009, Google built a predictive model using years of data to determine which employees were most likely to quit. Suffolk and Autodesk partner Smartvid.io partnered to explore if predictive analytics could be applied to safety in construction. In this class, Jit Kee Chin, Suffolk’s EVP and chief data officer, and Josh Kanner, founder and CEO of Smartvid.io, will discuss how 10 years of BIM 360 Field software and other data sources were combined to create a safety predictive model. We’ll show examples of the data, discuss machine-learning frameworks for computer vision as well as predictive analytics, and we’ll present the results of the modeling exercise, how it can be displayed to the user, and what may come next. Attendees will participate in a discussion on what this new ability to see into the future could mean for the operations, human resources, and legal structures of construction?
Industry Talk / Las Vegas 2016
New-Age Reality Capture: Capitalizing on Machine Learning and BIM to Organize Field Data
Sources of video and photo content are rapidly increasing within construction. In addition to mobile phones and tablets, drones and even wearables are starting to generate their own views of “reality” from the job site. How can this information best be capitalized on for value during construction, and managed afterward for future retrieval? In this case study-driven class, Oliver Smith of Skanska and Josh Kanner of Smartvid.io will explore how a new set of technologies are helping to deal with the content proliferation—and are also going beyond to elevate the power and value of this visual data. New techniques in machine learning are enabling mining of the native content to help tag and search the ever-growing set of videos and photos coming from the field. Once tagged, the content can be integrated with Building Information Modeling (BIM) for ongoing progress updates during the project and other workflows. We will present examples of drone-generated and mobile-phone-generated field-progress capture. This session features Navisworks Manage, AutoCAD, and Revit. AIA Approved
Industry Talk / London 2017
Get Ready for Artificial Intelligence in Construction
Data sources in construction are exploding. Mobile devices and apps like BIM 360 Field are capturing and storing thousands of photos on typical projects. Drones, scanners, wearables and other construction management apps are adding to the mountain of data collected as a by-product of their use. To bring structure to our interpretations of these growing data streams, machine learning solutions are being applied to sort, filter, and surface insights so that projects can find the information they're looking for and make better decisions. This class will look at some early practical examples such as photo and video recognition for management and sorting of construction images, and predictive analytics in terms of highlighting high risk quality and safety issues. We'll also consider where the industry is going, as disparate data sources and applications become more integrated.
Industry Talk / Connect and Construct Summit 2019
Automated Construction: Why Manufacturing Is the Future of the Sector
Construction is the last sector (after agriculture, manufacturing, and mining) that continues to throw thousands of people at a problem, working with chronically low productivity in physically and mentally challenging conditions. The time has come to apply learning from other sectors and vastly increase productivity in both the design and delivery of assets. The shift to digital design is accelerating, thanks to sophisticated, data-driven tools that go beyond BIM (Building Information Modeling). Algorithmic simulation, machine learning, and generative design vastly accelerate the process. Better still, they generate far more possible solutions, which means better outcomes. Meanwhile, new forms of construction are harnessing the benefits of manufacturing. Construction “platforms” combine design, manufacture, and procurement principles holistically to ensure a greater degree of rationalization and integration. Manufactured components can be used across sectors creating high, constant demand and economies of scale.
Industry Talk / Las Vegas 2017
Industry 4.0: AI and the Future of Manufacturing
Artificial intelligence-machine learning (ML) and deep learning (DL)-is advancing rapidly. Industry 4.0 smart factories will provide (through the Internet of Things and data sharing) the massive amount of data required for accurate ML/DL training. Where are we today and how will this technology impact manufacturing in the future?
Roundtable / Las Vegas 2019
Industry Panel: Forge, Connected Data, Machine Learning, and Predictive Insights
Machine learning is revolutionizing the construction process both on the jobsite and at the desk. Products like Construction IQ, BuildingConnected, Smartvid.io, HoloBuilder, and Versatile help customers predict and prevent risks in real time on construction jobsites and in the office by using data and applying machine learning to it. Forge plays a key role in connecting all these solutions into a seamless network for construction industry. Come and learn from the development leads of these innovative applications about how their applications are using machine learning to improve industry workflows while they discuss best practices, challenges, and future opportunities. You’ll have an opportunity to interact with these leaders and ask your questions.
Roundtable / Las Vegas 2017
Industry Panel: Making Construction Smarter Using AI and Machine Learning
Machine learning is revolutionizing the construction process both on the job site and at the desk. Products like BIM 360 IQ help customers mitigate risk and avoid blind spots in real time on construction job sites by using data and applying machine learning to it. Our customers use predictive machine-learning components, like subcontractor and project risks, to protect their profit margins from quality issues and stay on track. Come and learn from construction experts and thought leaders from the largest general contractors in the world to find out how these firms are leading the industry by using machine learning to improve company workflows.
Industry Talk / Las Vegas 2017
Machine Learning for Construction Safety: A Construction Project Manager’s Perspective
There's a perfect storm of technology change driving the construction revolution today. Mobile devices, Internet of Things, sensors, and drones are continuously capturing construction job-site data and the cloud is aggregating this data. Machine-learning applications such as BIM 360 IQ software help construction project teams analyze risk from this data in real time and take corrective actions. Layton Construction and Autodesk have been collaborating and working together for the past year to apply the BIM 360 IQ machine-learning system for construction safety. In this session, Cooper Darling-an assistant project manager from Layton Construction-will be sharing his project manager experiences involved in helping identify and reduce safety risks on a construction job site with the aid of assistive technologies such as machine learning. Cooper is also part of Layton's National Safety Leadership Team, and he's helping champion the processes and standards based on BIM 360 software for Layton.
Industry Talk / Las Vegas 2018
Enhancing Construction Project Management Through AI
Construction is an inherently high-risk, low-margin business with countless opportunities for bad coordination, miscommunication, and disconnected processes. From initial design concepts to construction documentation, preconstruction to handover—many stakeholders, changes, and versions can overwhelm even the most organized and well-aligned teams. Eighty % expect to face added costs from design errors and omissions. Efficient project management can determine the winners in the market. Artificial intelligence (AI) can significantly improve construction project management effectiveness, especially in the early detection of project risks so they can be mitigated. AI can make the link between change orders, RFIs, and submittals back into the design phase. AI helps reduce the number of frivolous RFIs and wasteful change orders with the ultimate goal of better project performance. Hear from industry leaders about the application and value of machine learning in construction project management.
Industry Talk / Las Vegas 2016
AU 2016 Leadership Forum

Watch as futurists, researchers, educators, Autodesk executives and senior leaders from enterprise accounts explore the future of work. From AR/VR and machine learning to future work trends and hiring new talent, the AU 2016 Leadership Forum included Geoff Colvin, an award-winning thinker, author, and broadcaster, who explored today’s most significant trends in business. Colvin is an editor and columnist for FORTUNE magazine. His latest book is Humans Are Underrated: What High Achievers Know that Brilliant Machines Never Will.

Jon Pittman, Autodesk VP, Corporate Strategy, and his team discussed the need to re-evaluate relationships with our machine creations. While Randy Swearer, Autodesk VP, Education, discussed changes in education and how those in today’s economy might compete for next generation employees.

Danny Guillory, Autodesk Director, Global Diversity and Inclusion, facilitated a discussion with guest speakers and attendees on building a team of tech-savvy, lifelong learners. And Mickey McManus, Autodesk Fellow and author of Trillions, introduced an exercise in design thinking to identify some next steps in building the future of work for your organization and team.

We also heard stories of trial and success from leaders at Ford, GE, Arup, the Department of Defense, and elsewhere. Before Callan Carpenter, Autodesk VP, Global Named Accounts wrapped up the day.

Autodesk Product Briefing / Virtual 2021
"My Insights" in AutoCAD: Overview and What It Means for the Way You Work

Maximizing machine learning and data science, the My Insights feature for AutoCAD software provides personalized recommendations and insights tailored to each user’s unique AutoCAD usage. This session will provide an overview of how this exciting new feature turns data into insights, and what that could mean for the way you work. We’ll explore how My Insights helps new users learn AutoCAD more quickly, and how it provides valuable information to experienced users at the right time and in the right context. Most importantly, we’ll demonstrate how personalized usage insights such as command/feature recommendations, hardware/software performance data, and usage statistics can help ensure users of all skill levels get the most out of the time they spend in AutoCAD.

Instructional Demo / Virtual 2021
Hidden Super Powers of Dynamo Part 2: Package Managers Assemble!
Dynamo has been given a big boost of new and expanded features since last year—they’re the new super powers to check out! With the updated integrations, bug fixes, user packages, and new features, you can go even further with Dynamo. See what you can do in Dynamo now, including generative design, machine learning, web API integrations, coding enhancements within Dynamo, digital twins, expansions to popular packages, and the hidden gems of lesser-known packages. All of these capabilities can boost your workflow and make you feel the real potential of visual scripting with Dynamo.
Hands-on Lab / Las Vegas 2017
Introduction to Machine Learning for Building Design and Construction
In this class, students will learn the basics of machine learning and how they can apply it to building design and construction. First, we'll talk about the history of machine learning and how it has been used in literature and the building industry. Then, we'll talk about some easy-to-use machine learning algorithms and try to implement them in Dynamo Studio software. This class does not require any prerequisite knowledge or skills.
Industry Talk / Las Vegas 2018
Forge with BIM 360 Docs as an IoT Hub
What are the possibilities when we talk about IoT (Internet of Things) and BIM (Building Information Modeling)? Well, when we integrate through Forge intelligent models and Microsoft Azure IoT Hub, we can have a world of possibilities and insight with machine learning. In this lecture, you will see how data collected with BIM 360 software to make an inventory were connected with equipment in the building to monitor what was going on and make predictive analysis, in order to cut building maintenance costs. You’ll see how BIM 360 Ops software can be used to open and close maintenance tickets.
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