AI Strategy
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10 lessons3 levels1 capstone project
Develop an enterprise AI strategy that links business advantage to use cases, data and platform readiness, talent, operating model, economics, governance, risk, adoption and measurable outcomes.
BASIC
- 9 Mistakes Leaders Make With AI Strategy — MIT Sloan Management Review (Short)
Common strategic failure modes and how leaders avoid them. - Generative AI Strategy for the Enterprise — CXOTalk (Long)
Enterprise use cases, data strategy, economics, trust and adoption. - Strategy, Roadmap & Governance — Enterprise Generative AI (Medium)
A practical structure for opportunity pipelines, sponsorship, scorecards and governance.
INTERMEDIATE
- Must-Have Metrics for Informing Your Product Strategy — Reforge
Apply AI Strategy through the adjacent capability: KPIs & Product Metrics. - Product Analytics, Funnels & Session Replay Walkthrough — Amplitude
Apply AI Strategy through the adjacent capability: KPIs & Product Metrics. - Good Strategy / Bad Strategy — Richard Rumelt
Apply AI Strategy through the adjacent capability: Strategy Development & Goal Setting.
ADVANCED
- How to Run an Effective OKR Workshop — AJ&Smart
Extend AI Strategy into senior/production practice through Strategy Development & Goal Setting. - Prioritization Frameworks in Practice — Jira Product Discovery
Extend AI Strategy into senior/production practice through Product Roadmapping & Prioritization. - North Star, Leading vs Lagging — KPIs & Metrics Explained
Extend AI Strategy into senior/production practice through KPIs & Product Metrics.