Digital transformation in manufacturing fundamentally involves transforming unprocessed data into valuable insights to guide business decisions through automated systems or human intervention.
Consequently, implementing a well-thought-out data modelling strategy is key to successful digital transformation as it helps to express the meaning of the data to digital systems.
To learn more about Data modelling for Industrial IoT in general and for Digital Twin use cases in particular, I had a podcast conversation with Erich Barnstedt.
Erich is the Chief Architect for Standards, Consortia and Industrial IoT in the Azure Edge and Platform team at Microsoft
Here's the outline of our conversation
✅ Importance of data modelling for Industrial IoT.
✅ Key Elements of an Effective IIoT Data Model
✅ Standardising Configuration Interface for OPC UA Connectivity Mapping
✅ Manufacturing Ontologies Reference Solution for Digital Twins
✅ UA Cloud Publisher and UA Cloud Twin for Mappping Industrial Assets to Azure Digital Twins using ISA95
✅ Significance of UA Cloud Commander at the Industrial Edge
✅ OPC UA Information Model Integration using UA Cloud Library
✅ Data Modelling Standards
✅ Web of Things for Endpoint and Interface Description of Industrial Assets.
✅ ChatGPT for fully automating onboarding of non-discoverable industrial assets
✅ Converting proprietary interfaces into OPC UA Information Model using UA Edge Translator.
✅ The role of the IEC/ISO in standardizing data models for IIoT
✅ The Scope OPC UA PubSub Over MQTT in Industrial IoT
✅ Metadata and Type Information in OPC UA PubSub
✅ Industrial Metaverse Reference Architecture with Open Interoperability Standards
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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