By now, we're all aware of the profound impact Generative AI promises for manufacturing. Beyond just assisting engineers in application development, it equips managers with cutting-edge analytics and delivers invaluable error resolution insights to technicians, etc. - all through intuitive interactions. That's why I'm excited about Tulip Interfaces' new "Frontline Copilot" which uses LLMs for natural language interaction between operators and manufacturing systems. To truly comprehend its significance and the broader implications of Applied AI in manufacturing, I spoke with Roey Mechrez, PhD in my latest podcast episode. Roey is the Head of AI and EMEA MD at Tulip Interfaces where he is overseeing Tulip's Machine Learning and Computer Vision strategy. Here's the outline of our conversation: Outline✅ Introduction to the Tulip Ecosystem✅ Composable, App-based solutions vs. Monolithic MES✅ Tulip for Process Engineer, Operator, Manager End Users✅ Technology stack for Modern Manufacturing✅ Tulip Ecosystem for Applied AI in manufacturing✅ Connecting shop-floor visuals to advanced analytics tools.✅ How Data is Shaping the Next Layer of Manufacturing✅ Tulip connectivity and AI integrations for building shop-floor solutions✅ Introducing Tulip Frontline Copilot: Why Generative AI Matters for Manufacturing✅ Natural Language Operator Interaction with Tulip Copilot, Use Cases✅ Integrating legacy machine data into modern systems with Machine Learning and Edge Connectivity✅ Computer Vision Capabilities and Third-party Integrations in the Tulip Ecosystem.✅ Driving Forces for AI Adoption in Manufacturing✅ The Future of AI in Manufacturing