AI’s Impact on PLM and Digital Engineering

It has been one year since we hosted the team from AI Marketplace for a discussion on the potential impact of GenAI and Large Language Models (LLMs) on product lifecycle management (PLM). At the time, we focused on applications in Requirements Engineering, Enterprise Search, Document Management, and Tech Docs. We discussed the importance of a robust digital thread strategy for realizing the potential of AI and the potential near- and long-term applications of AI and digital threads. AI continues to be a hot topic in many industries. CEOs expect engineering and PLM leaders to have an AI strategy.

So, what has changed in a year? Join thought leaders from last year’s event as well as an expanded group of experts as they revisit AI’s impact on, and potential for PLM. Explore topics including:

• The state of PLM copilots in assisting users with day-to-day activities
• AI-assisted low-code development of new reports and applications
• Augmenting the digital thread with AI-discovered relationships
• Democratizing MBSE, advanced simulation, and system optimization
• The future of generative design in engineering

This year’s speakers include Aras CTO Rob McAveney, Guy Bursell from Microsoft, Rik Rasor from AI Marketplace, and Jonathan Scott from Razorleaf.