Explainer
·
14 min
Everyone's being sold the same dream: lights-out plants, humanoid robots, AI that sees and understands everything on the shop floor. David and Willem take a hard look at how close manufacturing actually is to that dream, and where the real, usable AI opportunity is hiding today.
In this episode:
-Why lights-out plants exist, and why most brownfield sites can't just copy them
- The data nobody's touched yet: manuals, shift reports, maintenance notes, P&IDs, and the knowledge only your engineers carry around in their heads
- Why "autonomous investigation" (AI that helps engineers dig into a problem fast) is a far more realistic first step than "autonomous control"
- What it actually takes to get there, technologically and organisationally
Explainer
·
10 min
Infrastructure convergence made it possible for IT and OT to share a network — and then made it necessary for them to share responsibility for what runs on it.
Cybersecurity convergence made it possible to attack both sides of the business at once — and then made it necessary to stop treating IT and OT security as separate disciplines.
Data and AI convergence is making it possible to build one data foundation across both worlds — and it will make it necessary to figure out, organisationally, who's accountable for it.
That's really the answer to "what is IT/OT convergence": it's not a single project you finish, and it's not primarily a technology purchase. It's an ongoing pattern of two technical worlds discovering, wave after wave, that they need each other more than either side originally expected.
Explainer
·
16 min
A deeper look at what's really holding back the Virtual Operator — and why there is no silver bullet (yet).
Explainer
·
27 min
In this video, David Ariens explores the concept of Unified Namespace (UNS) and its significance in addressing the challenges of data management in industrial settings. He discusses the common issues of data spaghetti, the importance of understanding business problems over technology solutions, and the role of data management in creating digital representations. The conversation also touches on the Industrial Data Platform, the misconceptions surrounding UNS, and the necessity of IT-OT cooperation and data governance.
Explainer
·
23 min
In this video, David Ariens discusses the evolution and importance of the industrial data platform, focusing on the second version of the capability map. He explains the significance of scaling data initiatives, the structure of an industrial data platform, and the core capabilities required to build such a platform. Additionally, he emphasizes the importance of data governance, the role of the unified namespace, and how these elements contribute to effective industrial AI applications.
