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Applying Phase 1 skills

Instruction and application
In Progress

This hackathon focuses on three key skills that you will practise by working through an end-to-end AI/ML solution:

  • Skill 1: Problem Identification & Scoping

Selecting a real workplace problem and framing it in terms of business goals, success measures, and suitability for an AI/ML approach.

  • Skill 2: Solution Design & Application

Designing a realistic AI/ML solution by applying methodology, data strategy, model choices, and technical considerations, drawing on concepts from Modules 1-4.

  • Skill 3: Project Planning & Execution

Working iteratively to plan, develop, refine, and communicate your solution, balancing technical feasibility, risk, governance, and stakeholder needs.

Applying skills to real-life scenarios​

In this hackathon, you will select one of two problems to work on and apply the three core skills above.

  • Option 1: Improving how Customer Service requests are handled at scale.
  • Option 2: Anticipating audience engagement to support better content planning and scheduling.

These contexts reflect challenges faced by large organisations like the ones you work in, where AI/ML solutions must balance efficiency, decision quality, risk, and public trust. Doing this well requires clear strategy, sound methodology, and responsible governance.

Action item: Discussion​

**Directions:**Share your thoughts in the chat or come off mute

  • Where have you seen AI or data solutions need clearer strategy and/or constraints?
  • What are some of the key blockers to forming a clear strategy or getting to the design stage?
  • What are some of the opportunities that come from working iteratively?