About
In this webinar you will learn how Artificial Intelligence (AI) and automation are reshaping product development inside Autodesk Fusion. You’ll discover how AI-driven capabilities streamline CAD, automate documentation, optimize CAM processes, and reduce repetitive manual work across the entire design-to-manufacturing workflow.
Rather than theoretical concepts, this session will focus on practical application — demonstrating how AI-powered tools embedded directly within Fusion can accelerate engineering output while maintaining precision and control.

• Save valuable engineering hours by eliminating repetitive manual processes
• Improve design accuracy and manufacturing readiness
• Accelerate product development cycles from concept to production
• Gain practical insight into implementing AI without complex scripting or external tools

Unlike high-level AI discussions, this webinar will deliver a hands-on, workflow-driven perspective. You’ll see how AI and automation are already embedded within Autodesk Fusion — and how to activate these capabilities in real-world scenarios today.
It’s not about future possibilities. It’s about practical impact now.

Participants will learn how to:
• Leverage AI-powered design tools to automate repetitive modeling tasks
• Use automated drawing generation to dramatically reduce documentation time
• Optimize CAM toolpaths with intelligent automation
• Apply Generative Design to explore high-performance design alternatives
• Streamline workflows to reduce errors and improve time-to-market
When
Wednesday, March 25, 2026 · 11:00 a.m. London (GMT +0:00)
Presenters
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Diego Ponzetto
Senior Technical Sales Specialist at Autodesk
Diego Ponzetto is a Senior Technical Sales Specialist at Autodesk with extensive experience in CAD/CAM workflows and digital manufacturing solutions, including Fusion. He supports customers and partners in adopting advanced design and production technologies. He collaborates with European partners to accelerate industrial innovation and enable the transition to cloud-based tools for engineering and manufacturing.
1771342270-776ab20df8e39844
Jon Excell
Editor, The Engineer
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