Multiple recent recruitment surveys revealed that the demand for data engineers has recently exceeded the previous demand for data scientists. The Dice 2020 Tech Job Report said data engineer was the fastest growing job in technology with a 50% year-over-year growth in the number of open positions. Many mentees asked me how do I perceive this shifts in demand, and what area should they pursue. Actually, I see a course correction happening in the industry. Most organisations t

As 2025 draws to a close, I find myself at the epicentre of a profound strategic misalignment in the technology world. On one hand, Artificial Intelligence (AI) has delivered at a scale few could have predicted even three years ago; it is now the undisputed operational core of global commerce, driving spectacular technological breakthroughs in fields from personalised medicine to autonomous manufacturing. Yet a persistent, unsettling anxiety grips the financial markets, the c

The introduction of modern Artificial Intelligence (AI), especially large language models (LLMs) and predictive models, is undeniably a defining technological moment for enterprises. These technologies offer exponential capabilities that feel like organisational superpowers , exponentially enhancing human productivity. Yet, this extraordinary potential is inextricably linked to an exponential amplification of systemic risk , creating a profound operational dilemma for

Artificial Intelligence (AI) is no longer a future consideration. It is a present imperative reshaping how businesses operate. AI enhances decision-making by delivering speed, precision, and insight at a scale that human intuition cannot match. By analysing vast datasets and identifying patterns, AI generates actionable intelligence that drives real-time value. The economic potential is massive, with trillions in possible value creation and significant productivity gains. Com

Australian businesses are trapped in a self-perpetuating cycle of mediocrity. While we claim to be innovative and proactive, many of our largest and most influential organisations are led by executives fundamentally ill-equipped to steer a modern technology and data-driven enterprise. The culprit is the pervasive reliance on the general manager archetype, a leader whose broad, non-technical background, while perfect for traditional business operations, becomes a liability in