Sometimes, life feels like a race you didn’t sign up for.

You wake up, rush through the day, jump from task to task, and still feel like you’re falling behind. The truth is, it’s not just about doing more. It’s about doing what truly matters. Many people think success comes from working harder, longer, and faster. But real success comes when you take control of your time and choose to spend it on the things that bring meaning, energy, and growth to your life.

If you want to succeed in a highly competitive field—like academia, performing arts, business, journalism, or music—talent and passion are just the beginning. What really matters is understanding how your industry actually works.

In today’s fast-moving world, companies often face a fundamental question: Should we prioritize resources or customers? For many, the answer seems obvious—resources drive innovation, scale, and growth. But in reality, neglecting customer needs is one of the fastest ways for a business to lose relevance.

Like many aspiring leaders, I once believed that reading business books from cover to cover would somehow make me a better leader. I highlighted key lessons, absorbed powerful insights, and felt a sense of accomplishment just by finishing them. But over time, I realized that simply reading wasn’t enough. Not even close.

The Monte Carlo Method is one of the most powerful and versatile tools in the world of computation and statistics. Though it might sound like a gambling strategy from a casino, it's actually a rigorous and indispensable approach for solving complex problems through randomness and probability. In this blog post, we’ll explore what the Monte Carlo Method is, why it matters, and how it powers applications like game-playing AI through Monte Carlo Tree Search (MCTS).

Core banking system vendors entering Southeast Asian markets must navigate a complex web of banking regulations and technology risk guidelines. Each country – Singapore, Vietnam, Thailand, Malaysia, and Indonesia – has its own regulatory bodies and frameworks governing financial technology

In the rapidly evolving world of AI and large language models (LLMs), context management is becoming a cornerstone for building smarter, more efficient, and reliable applications. Enter MCP (Model Context Protocol) — a protocol designed to help developers and systems define, organize, and control the context passed into AI models. In this post, we’ll explore what MCP is, how it works, and real-world use cases that demonstrate its value.

China’s core banking system market is undergoing rapid modernization, driven by the need for internet-scale performance (to support platforms like WeChat Pay and Alipay) and digital transformation across banks.