Thoughts on AI, digital transformation, and technology leadership in Southeast Asia.
Organizations without a deliberate AI strategy are not standing still — they are actively falling behind. Here is the framework I use to help enterprises build theirs.
Deploying LLMs in enterprise is fundamentally different from building a ChatGPT wrapper. Here is the architecture and governance framework I have refined across multiple deployments.
Most organizations cannot quantify their generative AI investments. Here is the measurement framework I use to prove — and improve — AI ROI across the enterprise.
The RAG vs fine-tuning debate is the most common architectural question I get from enterprise teams. Here is my decision framework based on real-world deployments.
AI governance in regulated industries is not about saying no — it is about building guardrails that let you move fast with confidence. Here is the framework I use.
Ninety percent of AI pilots never reach production. The problem is not technology — it is the absence of a structured path from experiment to enterprise-scale deployment.
After leading AI initiatives across five industries, I can tell you: the technology is rarely the problem. The real failures are organizational, and they are preventable.
Agentic AI represents the biggest shift in enterprise automation since RPA. Here is what CTOs need to know about building autonomous AI systems that actually work.
Technology is the easy part of AI transformation. The hard part is preparing your people, processes, and culture. Here is the organizational readiness framework I have used across multiple transformations.