Jarvis for Engineers: AI Agents, BMW, and the Future of Hardware Design
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
-
ナレーター:
-
著者:
概要
What if engineers could design hardware just by talking, while AI agents handled the heavy lifting?
In this episode of Capgemini’s Data‑powered Innovation Jam, we sit down with Dr. Moritz Maier, Founder & CEO of Synera, to explore how generative AI and multi‑agent systems are transforming engineering. From BMW car parts designed in minutes to AI systems collaborating like human teams, Moritz shares real-world breakthroughs, hard lessons on trust and transparency, and a bold vision for the future.
We cover AI copilots for engineers, faster time‑to‑market, German engineering rigor vs. Silicon Valley speed, and why tomorrow’s engineers will focus less on tools and more on judgment.
🎧 A must‑listen for anyone shaping the future of data, AI, and innovation.
Timestamps:
[ 03:29 ] - Introducing Moritz Maier and talking about the beginnings of Synera
[ 09:36 ] - The Eureka moment of agents in Engineering
[ 17:50 ] - the change of human skills in the human-ai-collaboration
[ 28:30 ] - Finding a common language of automated workflows and systems engineering
Study mentioned in the episode: Labor market impacts of AI: A new measure and early evidence