Done right, the digital transformation of manufacturing enterprises has less to do with plugging in smart objects to collect data from the factory floor.
Rather, it has a lot to do with laying down a reliable, secure, and scalable data processing infrastructure in such a manner that it allows you to automate your entire manufacturing business process.
And for engineers and architects tasked with building IIoT solutions, it involves picking the right tools for each part of your data processing pipeline, from the edge of the network to systems at the highest level of your enterprise.
To understand why and how to achieve that using open source tools, I had a conversation with Jeremy Theocharis who is the Co-Founder and CTO of United Manufacturing Hub, a company centered around an Open Source Project that combines state-of-the-art IT/OT tools to help engineers build Industrial IoT solutions.
Here's the outline of our conversation which you can watch by clicking on the link below:
Outline:
Challenges in IT/OT Integration
Introduction to United Manufacturing Hub (UMH)
Why Open Source Matters
Criteria for picking the core technologies for the UMH stack.
Modernising Industrial Systems Architecture Using Microservices
Why MQTT and Kafka for the IIoT Data Pipeline
The role played by OPC UA in the UMH stack
Unified Namespace Architectural Approach
Factors influencing the design of the UMH DataModel
Multisite Data Integration Using UMH
Machine Vision Use Cases on the UMH Platform
Historian vs Open-Source databases
Ep 23 : Digital Transformation Through Digital Twins - Dr. PG Madhavan (IoT Digital Twin, Causality, Data Science) )
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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