Removing Bottlenecks that Burn Budgets

The conversation covers the introduction of CDS and CognaSIM, the optimization of geometries for manufacturability, the impact of GPT-3 on engineering, challenges of AI in engineering, integration of AI in the development cycle, AI for productivity and product, incorporating AI into the development cycle, challenges of AI usage in engineering, AI's impact on agile and waterfall methodologies, AI's influence on developer collaboration, AI's role in the development process, and AI usage of foundation models vs. LLMs. The conversation covers the impact of AI in engineering and design software, the digital maturity of enterprises, the separation of data and IT, and upcoming industry events. It explores the role of AI in building ecosystems, accelerating workflows, and changing the perception of AI. Additionally, it delves into the levels of digital maturity in enterprises, the impact of AI adoption, and the importance of data and IT separation. The conversation also highlights upcoming industry events and their significance in the engineering and design space.TakeawaysAI-driven simulation softwareImpact of GPT-3 on engineeringAI's role in the development cycle AI in EngineeringDigital MaturityData and IT SeparationIndustry EventsChapters00:00 AI Usage of Foundation Models vs. LLMs33:57 AI in Design Software46:06 Digital Maturity in Enterprise55:15 Upcoming Industry Events#AI #EngineeringAI #CAD #PLM #DigitalThread #Manufacturing #SupplyChain #IndustrialAI #EngineeringSoftware #AgenticAI #AIAcrossTheProductLifecycle #BetterCallFino