Automation, Integration, & Customization

Artificial Intelligence

Machine Learning

Software Development

<p>This session includes discussions and Autodesk machine learning experts for both AECO and Manufacturing industries. The huge advances we have seen in large language models are due to extremely large deep-neural networks’ ability to infer statistical patterns in large amounts of digital data. The industries where we design and make the world that surrounds us also have well-defined and consistent digital data. What would the implications be for how we design and create the world if we enhance them with appropriate and trusted AI solutions?</p>


Move Over Large Language Models; Make Way for Industry

Panel

Nashville

Computational Design

CAD Management & IT

Modeling

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Dr. Tonya Custis, senior director of artificial intelligence (AI) at Autodesk, draws on 20 years of experience in AI research to explore both the limitations and the transformative potential of AI in design workflows. While powerful, AI is often misunderstood—it’s frequently perceived as a catch-all magical solution rather than a tool with specific strengths and weaknesses. As AI becomes more commonly used in daily life, expectations rise for its role in professional tools. The best way to move beyond the hype, fear, and uncertainty surrounding AI is to develop an understanding of its history, limitations, and the types of tasks it’s best suited to help with. In this session, Dr. Custis will demystify how AI actually works, examine current trends, and outline the unique challenges of applying AI to design workflows—particularly those involving complex 3D design data. She’ll also share some recent work from the Autodesk AI Lab, offering a glimpse into the current state of AI in design and what the future may hold.

Innovators Stage | AI for Design: What's Now and What's Next

Industry Talk

AU Classes

Move Over Large Language Models; Make Way for Industry

Innovators Stage | AI for Design: What's Now and What's Next