Skills application
Skills application
CompleteIn this activity, you will evaluate your organisation's readiness for ML through a high-level SWOT analysis. The aim is not a deep audit. It is a strategic snapshot that helps you anticipate blockers, leverage strengths and plan practical next steps.
Context
Imagine your organisation wants to use ML to improve decision-making, customer experience or automation. Before choosing a specific use case, leadership wants a clear view of readiness across technical, strategic and cultural dimensions.
Your task is to map:
- Where your organisation is strong and well-positioned.
- Where gaps or internal barriers could derail progress.
- Which external opportunities and threats may affect outcomes.
Success criteria
To complete this activity:
- Fill all four SWOT sections: strengths, weaknesses, opportunities, threats.
- Mark the top one to two factors in each section.
- Add a short rationale (two to three sentences) for your top picks.
- Capture follow-up questions that need deeper investigation.
Completing this page unlocks the solution example on the next page.
Instructions and materials
Before you begin, gather relevant references such as:
- Annual reports (recent years).
- Internal strategy or transformation documents.
- Industry reports and benchmarking references.
- Any available AI/ML maturity assessments.
Use the SWOT prompts below:
Strengths:
Internal enablers (for example, strong data infrastructure, executive sponsorship).
Weaknesses:
Internal blockers (for example, limited ML capability, fragmented ownership).
Opportunities:
External tailwinds (for example, partnerships, market shifts, available tooling).
Threats:
External risks (for example, regulation, competitors, macro conditions).
Submit
Complete and submit the SWOT form to unlock the solution example on the next page.