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
Ep 23 : Digital Transformation Through Digital Twins - Dr. PG Madhavan (IoT Digital Twin, Causality, Data Science) )
Ep 22 : Building Scalable and Secure IIoT Solutions Using Open Source - Jeremy Theocharis (Co-Founder & CTO - United Manufactruing Hub) )
Ep 21: Edge AI: Artificial Intelligence and Distributed Computing at The Industrial Edge - Angelo Corsaro (CEO & CTO - ZettaScale Technology )
Ep 20: OPC UA and Time-Sensitive Networking for Field Level Communication - Bhagath Singh Karunakaran (CEO, Founder - Kalycito )
Ep 19: Application of Web 3 in Industrial IoT & Edge Computing - Rex St. John ( Jetson Software Ecosystem - NVIDIA )
Ep 18: Edge Computing for Industrial IoT - Dominik Pilat & John Kalfayan( Hivecell)
Ep 17: AutomationML, OPC UA & Asset Administration Shell for Industry4.0 - Dr. Miriam Schleipen ( Chief Research Officer, EKS InTec GmbH )
Ep 16: Application of Artificial Intelligence in Process Industries - Simon Rogers ( Digital Transformation Consultant, Yokogawa )
Ep 15: Edge Analytics and Intelligent Automation for Industrial IoT - Martin Thunman ( CEO & Co-Founder, Crosser )
Ep 14: IIoT Semantic interoperability with MTConnect - Russell Waddell ( Managing Director, MTConnect Institute )
Ep 13: Time-Series Databases for IIoT [ InfluxDB ] - Brian Gilmore ( Product Manager for IoT, InfluxData )
Ep 12: Embedded Machine Learning for IIoT - Zin Kyaw ( Senior User Success Engineer, Edge Impulse )
Ep 11: Global Industry Standards for Industrial IoT - Claude Baudoin ( cébé, OMG, IIC, Cutter )
Ep 10: Open Source Software for Industrial IoT - Frédéric Desbiens ( Program Manager - IoT and Edge Computing, Eclipse )
Ep 09: Industrial Internet of Things (IoT) 101 - Benson Hougland ( VP of Product Strategy, Opto22 )
Ep 08: Technical Foundations of IoT - Dominik Obermaier ( Co-Founder & CTO, HiveMQ )
Ep 07: Kafka for Industrial IoT Streaming - Kai Waehner ( Field CTO & Global Technology Advisor, Confluent )
Ep 06: Foundations of Industrial IoT Data Architecture - John Harrington ( Co-Founder, HighByte )
Ep 05: Advanced Plant-Floor Data Analytics - Marcos Taccolini ( Founder and CTO, Tatsoft )
Ep 04: A Practical Guide to IIoT Connectivity - Stan Schneider ( CEO, Real-Time Innovations )
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