Career advice
Curated writing from operators, recruiters, and HR leaders — written for people building real careers in HK.
Artificial Intelligence (AI) is transforming various aspects of our society, from healthcare to entertainment. However, this rapid advancement often leads to questions and concerns: “Will AI take over the world?” On that subject, today’s article aims to debunk common myths and provide a balanced view of AI’s potential impacts on our lives. Learn more […]
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 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?
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.
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.
According to a report by Bloomberg on March 29th of this year, there is a new emerging position in the market called “Prompt Engineer,” which can earn an annual salary of up to two million Hong Kong dollars due to the recent rise of generative AI. This position has attracted attention not only because of its lucrative salary but also because it does not require advanced technical skills. As one of the global IT hubs, it is essential for Hong Kong to understand the reasons behind this phenomenon.
Bill Gates once predicted that automation and artificial intelligence would change the nature of work, but he also pointed out that this would spark a demand for more valuable, creative, and human-centric jobs. IT is closely related to our daily lives, and as technologies such as artificial intelligence, the Internet of Things, and 5G networks rapidly advance, our perception of IT has also undergone drastic changes.
During 2020 and 2021, there was a shift in focus to improving remote working capabilities, access to cloud infrastructure and securing data. Over the next year, however, I believe businesses will desire more control of their data, with a greater focus on the ability to facilitate portability and seamless response to the changing demands of the future. Although hybrid and multi-cloud models are not new, the freedom they provide will make it even more of a reality moving forward. With 2022 only just around the corner and promising to enable the exponential growth in the data protection industry, you might be wondering what’s next. To help plan in advance, here’s a few top trends to look out for…
We are living in a VUCA (Volatile, Uncertain, Complex, Ambiguous) Era, VUCA reflects the unpredictable and erratic forces of change that could affect organizations. Acquiring new skills, behaviors and approaches is necessary to manage facing the threats of VUCA, we need to recognize important assets that know how to deal with challenges coming withheld. A lot of business owners and CEOs have adopted the VUCA era, they have a better understanding of the challenging situations. These thought-provoking situations occur due to unavoidable external aspects that could be related to politics, society, economics, technology, and/or environmental factors.