Welcome!AI Insights: A Global Picture and Practical Applications is both a strategic briefing and a practical toolkit. It is not another AI overview: the aim is to give you a framework sophisticated enough to engage with AI intelligently and a set of tools you can use immediately. The program is fully evidence-based and delivered in nine sections that build on one another, from the global picture through to implementation: global AI adoption in 2026 (geography, industry and the gap between adoption and maturity); an Eisenhower risk matrix prioritising 20 AI risks; the top AI platforms across personal, business and enterprise tiers; AI in practice across 16 case studies in business, health, sport and education; applied case studies from live deployments; a hands-on platform exercise; data protection and intellectual property; considering implementation and change management; and the foundational research that built modern AI.
Each section pairs current evidence with real-world cases, successes and cautionary failures alike, plus exercises and reflection points. The through-line is that AI is a research assistant, not an oracle: the capability being built is effective, critical collaboration with it.
By the end of this course, participants will be able to:
Engage with AI critically rather than passively, as a collaborator, not a recipient.
Locate their organisation on the adoption-to-maturity curve and explain why that gap matters.
Prioritise AI risks by what is material, not what is loud.
Select the right AI platform for a given task, and reassess as the landscape shifts.
Apply the essentials of IP ownership, data protection and AI regulation at work.
Lead AI adoption as a change and governance challenge, not an IT project.
Verify before acting, treating AI output as a starting point, never as evidence.
Leave with a concrete 90-day action, not just a point of view.
