Career advice
Curated writing from operators, recruiters, and HR leaders — written for people building real careers in HK.
Artificial Intelligence (AI) transforms every field in our lives, from technology to healthcare, making it one of the most sought-after skills today. As interest in learning AI grows, maybe you, as a beginner, often wonder: “How can I effectively learn AI?”
Data Science and Data Engineering are two key roles in the world of data-driven decision-making, each with its own unique functions. While they are often confused, understanding the differences between them is essential for fully leveraging the power of data.
In May 2025, a group of young engineering professionals from Hong Kong embarked on a purposeful journey to Australia, engaging in a week-long programme designed to inspire forward-thinking approaches to sustainability, innovation, and global collaboration. Organised by the Young Members Committee (YMC) of the Hong Kong Institution of Engineers (HKIE), the delegation offered participants a unique opportunity to explore how engineering can drive positive change across communities, industries, and borders.
In today’s digital age, machine learning drives many technological advancements, from personalized recommendations on streaming services to predictive analytics in finance and healthcare. But what exactly is machine learning, and how does machine learning work?
在當今快速變化的商業環境中，傳統的「燒錢擴張」模式已不再是唯一選擇。相反，「小而美創業」（The Minimalist Entrepreneur）正成為越來越多創業者的新方向。這種模式強調以最低成本啟動、專注核心價值，並在可持續增長中建立長期穩健的事業。在職場工作多年的你，有沒有想過創業，但同時害怕投資風險太大，對找尋客戶沒有信，從而不敢起動。我相信「小而美創業」可能就是你的答案。
In today’s dynamic business landscape, Artificial Intelligence (AI) has transcended its role as a mere technological advancement; it has become a fundamental strategic imperative and a potent tool for competitive differentiation. For C-level executives, understanding and leveraging AI is no longer optional but essential for long-term survival and growth. This article explores why AI is critical for shaping unique market positions, future-proofing organizations, and unlocking unprecedented opportunities for innovation and revenue generation.
For C-level executives, the promise of Artificial Intelligence often crystallizes around one core objective: to do more with less, faster and better. AI is not just about cutting-edge technology; it’s a powerful catalyst for significantly enhancing operational efficiency and boosting enterprise-wide productivity. By intelligently leveraging AI, organizations can unlock new levels of performance, optimize resource allocation, and gain a substantial competitive edge.
For C-level executives, the true impact of Artificial Intelligence (AI) extends far beyond technological implementation; it fundamentally reshapes the workforce and demands a profound transformation of talent. The focus shifts from merely adopting AI tools to strategically cultivating a culture where humans and AI collaborate seamlessly, augmenting each other’s strengths to drive unprecedented productivity and innovation.
Artificial Intelligence (AI) has moved beyond being a technical tool; it has become a strategic imperative for C-suite executives. Its impact spans every facet of an organization, from operational efficiency to long-term strategic direction.
人工智能（AI）的迅猛發展正在重塑全球勞動市場, 對傳統專業的影響尤為深遠。從製造業到金融、醫療、法律、教育甚至創意產業, AI 技術不僅自動化了重複性任務, 還重新定義了工作角色和所需技能。本文將深入探討 AI 如何影響傳統專業, 分析其帶來的挑戰與機遇, 並通過更多具體例子闡明其影響。
又到咗每年一度報稅時候喇！一聽到「報稅」兩個字，係咪即刻頭都大埋？份稅單睇到你眼花花，左計右計都唔知點樣可以交少啲？唔使驚！今次就傳授你幾招「扣稅秘笈」，包你輕鬆報稅！
The Chartered Institute of Management Accountants (CIMA) unveiled its CGMA Professional Qualification syllabus for 2026. This upgrade is designed to prepare students for the future of work and meet the growing expectations of modern finance professionals to be high-performance finance business partners capable of utilising technology and applying critical thinking skills.