Apply new skills to your role
In this hackathon workshop, you focused on strengthening and refining an AI/ML solution by thinking more deeply about data, modelling, evaluation, and responsible design. This same approach can be applied directly in your day-to-day role.
Strengthen decision-making with AI/ML
Use the mindset from this workshop to improve how decisions are designed and evaluated in your organisation:
- Look for decisions where outcomes depend on prediction, uncertainty, or trade-offs.
- Consider how clearer evaluation criteria could improve confidence in those decisions.
- Think about how data and modelling choices affect reliability and trust.
Design solutions that stand up in practice
Apply what you practised in this workshop to develop more robust proposals:
- Revisit data readiness, feature choices, and modelling assumptions as your solution evolves.
- Define how success will be evaluated and how limitations will be managed.
- Build in governance, ethical, and stakeholder considerations as part of the core design. This approach helps you move beyond early concepts and toward solutions that are defensible, trustworthy, and ready to be communicated clearly to others.
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?
- How would you explain the value of such a solution to stakeholders?
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