The Founders’ Playbook for Complex Engineering: Max from Epsilon3 and Steve from SysGit

The conversation explores the impact of AI on engineering and manufacturing, covering topics such as initial skepticism, use cases, limitations, and integration into the developer workflow. It also delves into AI's role in product management, productivity, quality, collaboration, and customer demand. The discussion highlights the integration of AI in Epsilon 3 and Cisco, as well as customer collaboration and AI flexibility. The conversation delves into the evolution of AI in engineering processes, the future of AI in hardware and interfaces, changing user experience with AI and automation, and preparing for the future of engineering and AI. The use of AI is seen as a means to automate and optimize various engineering processes, leading to improved efficiency, reduced errors, and better decision-making.TakeawaysAI in engineering and manufacturingIntegration of AI in developer workflow AI is being used to automate and optimize various engineering processes.The adoption of AI tools and platforms can lead to improved efficiency, reduced errors, and better decision-making.Chapters00:00 Introduction to AI in Engineering and Manufacturing05:02 AI Integration in Developer Workflow10:33 Collaboration and AI in Development16:32 AI Integration in Epsilon 3 and Cisco21:44 Customer Collaboration and AI Flexibility30:28 Changing User Experience with AI and Automation#AI #EngineeringAI #CAD #PLM #DigitalThread #Manufacturing #SupplyChain #IndustrialAI #EngineeringSoftware #AgenticAI #AIAcrossTheProductLifecycle #BetterCallFino