Discuss your project
Discuss your project

UNS & i3X training

Help your teams work from a shared understanding of data.

Practical training in Unified Namespace (UNS) and i3X, with a developing focus on ontology modelling and designing Knowledge Graphs for UNS. Help business, operations, IT and OT teams explore how industrial information can be structured, contextualised and shared.

Discuss training for your team

Different roles. One shared understanding.

Training helps decision-makers, production specialists and technical teams understand how their choices affect the same industrial data flow.

  • Business & Operations

    Turn data into better
    decisions

    Connect production information with operational priorities, performance indicators and business goals.

  • IT, OT & Engineering

    Build a reliable data
    foundation

    Explore the structures, interfaces, ontologies and responsibilities needed to organise and connect industrial information in a scalable Unified Namespace.

  • Cross-functional Teams

    Create one shared understanding

    Bring different specialists together around real production scenarios, common terminology and clear next steps.

Learn the concepts.
Apply them to your own case.

Follow a practical process from identifying an operational need to modelling information and testing a real scenario.

  1. Start with a decision Identify the information an operator or manager needs.
  2. Follow and structure the data Explore sources, names, context, ontologies and consumers.
  3. Test a scenario Examine how the model and data flow behave, then discuss your next step.

What your team will explore.

Explore how producers and consumers share operational data, why context and ownership matter, and how structured models can make industrial information easier to interpret and reuse.

  • UNS fundamentals

    How producers and consumers share operational data, and why names, context and ownership matter.

  • Industrial connectivity

    Where OPC UA, MQTT and existing applications fit within an industrial data architecture.

  • Data quality and responsibility

    How units, timestamps, status and agreed ownership make information usable.

  • Interoperability and i3X

    The role of a common API for contextualised manufacturing information and the questions to ask about implementation.

  • Ontology modelling

    How to define industrial concepts, relationships and shared terminology so information from different systems can be interpreted consistently.

  • Knowledge Graph design for UNS

    Explore how a Knowledge Graph can represent industrial entities and relationships, and how it may provide semantic context around a Unified Namespace.

Learning you can see and discuss.

Lab exercises turn an abstract architecture into a shared example. The programme, format and exercises are adapted to your team’s starting point.

See the Lab

Who needs to
learn, and why?

Tell us the audience, current experience and what your team should be able to do afterwards.

Discuss your project