Thoughts and Ideas on Leadership and Data Science

Knowing When You Are Ready: A Framework for Assessing Operational Readiness in Digital System Introduction Abstract Organisations at every scale — from national infrastructure operators to small and medium enterprises — regularly commission or adopt digital systems that prove harder to operationalise than to build. A system that works in a lab... Read More

AI tools such as ChatGPT and Claude are, at base, elaborate statistical guessers.1 They take your words, convert them into numerical tokens, and then predict which token is most likely to come next, over and over, until a paragraph appears.2 The illusion of understanding arises because these predictions are grounded in patterns learned from vast... Read More

Data Science and Risk Management: From Avoidance to Strategic Acceptance Introduction The evolution of data science has fundamentally transformed how organisations approach risk management. Rather than viewing risk as something to be avoided at all costs, modern enterprises are learning to embrace data-driven risk assessment as a strategic ena... Read More

Data Storage and Security: A Comprehensive Guide for Global Companies In today’s digital economy, understanding where data is stored and how it’s protected has become a fundamental business imperative. For global companies, data storage decisions ripple across legal, operational, and reputational dimensions, requiring careful navigation of an i... Read More

Synopsis This post offers a few points on volunteering, what it means to volunteer, some of the benefits of volunteering, some of the barriers and the reasons. I also offer my personal perspective on volunteering and how it has influenced my leadership in a professional setting. Why we Should Volunteer - Somewhere/ Anywhere The idea of giving... Read More