Monte Carlo Analysis in PMO Risk Management: A Practical Guide for Projects, Programmes & Portfolios - Discover how Monte Carlo analysis improves risk forecasting across projects, programmes and portfolios. Learn when to use it, how it supports standardisation, and why it strengthens PMO decision-making.
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PMI’s Leading AI Transformation standard highlights the PMO’s critical role in adopting and integrating AI into organisations. Discover key takeaways, responsibilities, and how PMOs can drive governance, strategy, and value from AI initiatives.
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David Belshaw and Craig Bennett share how Rolls Royce’s PMO used project data analytics to digitise workflows, speed up approvals, and build staff capability. Learn their roadmap, tools, and lessons for your own PMO journey.
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Even with limited data, PMOs can begin exploring AI. In this practical session, Vicky Emerson shows how risk registers and good prompts in ChatGPT can unlock insights, save time, and improve decision-making.
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Discover a structured, proactive approach to project risk management. Learn how PMOs can go beyond static risk logs to drive dynamic, high-impact risk practices that protect delivery success.
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