How AI bridges the gap between operators, machines and production data

Practical information

Speakers/ Sponsors

Machines, ERP, MIS, manuals, quality documents, maintenance information, Excel files…

Most manufacturing companies today have a vast amount of data at their disposal. However, this data is scattered across various systems. As a result, operators waste valuable time every day searching for information instead of adding value to the production process.

What if your operator could simply ask a question, in natural language, and get the right answer straight away?

During this session, you will discover how AI brings together production data from various sources and translates it into a single smart assistant for the shop floor.

Not a futuristic vision, but a working proof of concept from the Printelligence project.

You’ll discover:

  • How AI can link production data from different systems.
  • How operators can find the right information more quickly.
  • Less searching leads to fewer errors, less downtime and higher productivity.
  • Why a proof of concept can now be built within a single day, enabling innovation to happen faster and with less risk.

Practical examples from the graphics sector, offering insights that can be applied in any production environment.

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