Shopfloor Matters
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Learning path: Exploring AI

Shopfloor AI

What AI needs from your shopfloor data, where it already pays off, and what agentic AI changes next.

Start at station 1 7 articles, about 30 minutes
0/730 min to go
  1. Station 1 / 4 min read / Not started

    AI, ML and GenAI explained

    AI, machine learning and generative AI get used interchangeably. They shouldn't be. What each one is, where it earns its keep in a factory, and what it needs.

  2. Station 2 / 4 min read / Not started

    Contextualised data

    A machine signal that says 'stopped' tells you nothing. How MES/MOM turns raw data into contextualised information, and why point solutions lose that context.

  3. Station 3 / 3 min read / Not started

    Manufacturing data platforms

    Historians, data warehouses, data lakes, data fabric. Which one holds what, how they relate to MES/MOM, and which layer AI actually reads from.

  4. Station 4 / 7 min read / Not started

    AI on the shopfloor

    Every leadership team wants AI. The ones getting value started with clean, contextualised shopfloor data. Where AI really fits in smart manufacturing, and what to do first.

  5. Station 5 / 4 min read / Not started

    Practical GenAI

    Forget the hype. Four practical ways generative AI already saves time in factories, and the one condition that decides whether any of them work.

  6. Station 6 / 4 min read / Not started

    Agentic AI and MCP

    Agentic AI and MCP are all over LinkedIn. What they actually are, what they could mean for the shopfloor, and what has to be in place before any agent touches production.

  7. Station 7 / 4 min read / Not started

    Predictive maintenance

    From reactive to preventive to condition-based. What predictive maintenance really needs, why downtime data comes first, and where operators fit in.

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