What agentic AI means for the design process
As it continues to develop, artificial intelligence is starting to be applied across many different sectors of industry with equally many different new technologies used to support that. Agentic AI represents one of the latest ways AI can be applied to more complex tasks including complex design and manufacturing processes that existing AI isn’t well suited for.
In this episode, host Spencer Acain is joined Shirish More, AI Program Product Manager at Siemens and Michael Taesch, Senior Director of Product Management for NX Manufacturing explore the future of agentic and generative AI in design and manufacturing applications, what that will mean for the design process, and the role of AI as an assistant going forward.
In this episode you will learn:
- The future role of AI in design and manufacturing (0:58)
- What is agentic AI? (7:51)
- The transition from AI to coworker (12:23)
Shirish More
Senior Product Manager, Data and AI for Siemens Digital Industries
Michael Taesch
Senior Director, Parts Manufacturing, Siemens Digital Industries
Spencer Acain
Technical Writer for Global Marketing at Siemens Digital Industries Software
AI Spectrum
This podcast features discussions around the importance of AI and ML in today’s industrial world.
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The discussion about agentic AI in design really highlights how AI is evolving from a tool into a more autonomous collaborator, capable of handling complex decision-making rather than just assisting with repetitive tasks. This shift changes how we approach workflows and documentation, as keeping track of AI-driven iterations becomes crucial. From my experience, using tools like https://edubrain.ai/ai-lecture-note-taker/ has made capturing and organizing these AI-generated insights effortless, letting me focus on interpreting and applying the results rather than manually sifting through notes.