Conclusion
Congratulations on completing this unit!
You explored how to assess organisational readiness, align ML opportunities with strategy, prioritise use cases using feasibility and impact, and evaluate ethical and operational risks. These are core capabilities for responsible and effective ML adoption.

What's in it for you?
ML is not only about model development. It is about solving meaningful business problems with measurable value. With these skills, you can:
- Assess whether a proposed ML initiative is truly feasible.
- Guide stakeholders through strategic and ethical trade-offs.
- Help leadership connect AI investment to operational and financial outcomes.
- Build momentum with practical, high-value use cases.
Call to action
Apply this unit immediately. Pick one ML opportunity in your team, assess readiness, map strategic value, and create a practical prioritisation recommendation.
Pause and plan
Create a short action plan:
- Identify one insight from this unit you can apply immediately.
- Describe your organisation's current ML readiness in one sentence.
- Choose one step that improves readiness or strategic alignment.
- Use SWOT or a feasibility-impact matrix to justify your next ML initiative.