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Apply new skills to your role

Instruction and application
In Progress

In this hackathon workshop, you focused on framing a clear ML problem and shaping an initial technical approach using data and modelling. The same way of thinking can be applied directly in your day-to-day role.

Spot opportunities more effectively​

Use the mindset and structure from the hackathon to recognise where AI/ML could add value in your organisation:

  • Look for decisions that rely heavily on data, judgement, or prediction.
  • Notice where outcomes could improve with better foresight, prioritisation, or automation.
  • Consider not just what could be improved, but whether AI/ML is the right approach.

Shape credible early solutions​

Apply what you practised in this workshop to move from ideas to structured proposals:

  • Frame problems clearly in terms of business goals and success measures.
  • Assess data availability and quality early.
  • Think through pre-processing, feature choices, modelling options, and evaluation at a high level. This approach helps you move beyond vague ideas and toward well-framed, technically credible ML opportunities that can be developed further in later stages.

Action item: Share how you will apply new skills to your role.​

  • Where in your role could an AI/ML-informed approach improve decisions or outcomes?
  • What data, constraints, or risks would you need to consider?

Don't know where to start?​

Think about areas in your organisation where:

  • Better predictions could improve planning or resource allocation.
  • Data exists but isn't fully used to support decisions.
  • Trade-offs between efficiency, risk, and trust need to be carefully managed.
In progress