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 43 Infrastructure as Code for Industrial IoT - [ Peter Sorowka, CEO Cybus GmbH]
Ep 42 Data Driven Optimization in Process Industries - [ Jim Gavigan, President, Industrial Insight]
Ep 40 Digital Twins for Process Optimisation and Asset Reliability - [ Erik Udstuen, CEO TwinThread]
Ep 39 DataOps for Digital Transformation In Manufacturing - [ Aron Semle, CTO Highbyte]
Ep 38 LoRaWAN for Industrial IoT Applications - [ Wienke Giezeman, The Things Industries]
Ep 37 Data Modelling and Manufacturing Ontologies for Digital Twins - [ Erich Barnstedt - Microsoft ]
Ep 36 Agility, Open Platform Strategy & Industrial Data Spaces for Industry4.0 - [ Sandeep Sreekumar - IndustryApps ]
Ep 35 Human-Machine Collaboration for Smart Manufacturing - [ Rafael Amaral - Tillit ]
Ep 34 Node-Red for IIoT in the Enterprise - [ Nick O’Leary, CTO Flowforge Inc ]
Ep 33 Unified Namespace for Industrial IoT: The Masterclass - [ Walker D Reynolds, 4.0 Solutions ]
Ep 32 Low Foot Print OPC UA Over TSN for Real-Time Communication - [ Melvin Francis, Be Services ]
Ep 31 Architecting IIoT Solutions Using Unified Namespace - [ David Schultz, G5 Consulting ]
Ep 30 Fundamentals of OPC UA Information Modelling - [ Jouni Aro - CTO, Prosys OPC ]
Ep 29 Manufacturing Execution Systems for Data-Driven Manufacturing - Kevin Jones, CEO Ectobox
Ep 28 Predictive Analytics in Manufacturing - Maciek Wasiak, CEO Xpanse AI
Ep 27 First Principles : First Principles of Smart Manufacturing - Conrad Levia, CESMII
Ep 26 : Embedded Vision and Connectivity for IIoT - Taylor Cooper (CEO, Principal Engineer - MistyWest) )
Ep 25 : Containerisation for Industrial IoT - Neil Cresswell (CEO, Co-Founder - Portainer) )
Ep 24 : Real World Applications of OPC UA PubSub - Praveen Kumar Singh (Chief OPC Solution Architect - Utthunga) )
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