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. 

The core banking software market in Australia is sizable and expanding at a healthy clip. In 2024, Australia’s core banking software market was about US$480 million, and it is projected to reach roughly US$960 million by 2030, growing at a ~12.7% CAGR (2025–2030)

Software development is undergoing a major transformation. With the rise of large language models (LLMs), developers are adopting a new methodology called Vibe Coding — a conversational, iterative process where AI plays a central role in moving ideas into working software efficiently. At its core, Vibe Coding emphasizes logical planning, leveraging AI frameworks, continuous debugging, checkpointing, and providing clear context to AI tools. It focuses on speed, experimentation, and AI-human collaboration.

In the fast-evolving world of AI, agents have emerged as one of the most exciting frontiers. Thanks to projects like Hugging Face's smolagents, building specialized, secure, and powerful code agents has never been easier. In this post, we'll walk through the journey of agent development, explore how to build code agents, discuss secure execution strategies, learn how to monitor and evaluate them, and finally, design a deep research agent.