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The third article in my AI and Research series explores the growing role — and boundaries — of machine learning in modern discovery. Machine learning has become the engine of modern discovery. It can process vast datasets, find intricate correlations, and generate predictions with uncanny accuracy. In fields from genomics to economics, its promise seems endless — a new scientific lens capable of seeing patterns we cannot. Yet behind every prediction lies a quiet paradox: mach

🧩 The second article in my “AI and Research” series, exploring how artificial intelligence is not only accelerating discovery — but reshaping how ideas are born. 🔭 The spark before the data Every scientific breakthrough begins not with data, but with a question. “What if?” and “Why not?” are the foundations of discovery — moments when curiosity transforms uncertainty into exploration. Traditionally, these questions were born from human experience, observation, and creative

The first in a series exploring how artificial intelligence is transforming the research process — and why human insight still matters. The rise of intelligent research Artificial Intelligence has entered the world of research with inevitability. From processing vast datasets to simulating complex systems, AI has become indispensable for modern discovery. It can identify patterns invisible to the human eye, generate hypotheses in seconds, and even draft academic papers. Yet d

The Hidden Cost of Non-Competitive Work Cultures Introduction In every organisation, there’s an invisible current that shapes behaviour — how people respond to excellence, new ideas, and ambition. Some cultures channel that current into progress; others into politics and stagnation. Over my career in digital transformation and AI program delivery, I’ve observed one of the most underestimated threats to innovation: environments that discourage healthy competition. When indivi

🚀 Opening (Hook) Imagine a project assistant who never sleeps, never misses a deadline, and proactively nudges tasks forward without you reminding them. That’s no longer sci-fi. With the latest generation of AI agents stepping into the project management arena, teams have a chance to offload the busywork and focus on strategy, creativity and leadership. But this isn’t about replacing project managers — it’s about empowering them. What Are AI Agents in the Context of Project

In the rush to “go Agile,” many organisations have replaced Project Managers with Release Train Engineers (RTEs) — or worse, given one person both titles. It seems like a minor adjustment, but the consequences are often significant. I’ve seen it firsthand across major digital transformation programs in government and enterprise — from ERP rollouts to data platforms and AI initiatives. The confusion between these two roles often leads to missed expectations, poor governance, a