You hear the statistics. High failure rates. Implementation costs averaging $1.9 million. A workforce largely unprepared for the shift. When you examine global averages, these observations hold water. The confusion is palpable. The costs are substantial. However, we must not confuse a lack of discipline with a lack of potential. At AI Singapore, we have … Read more
Seven years ago, when we launched the AI Apprenticeship Programme (AIAP), people questioned our approach. Real-world projects over academic theory? Skills over degrees? Training passionate self-learners instead of computer science graduates? Today, watching the global tech industry scramble to adapt to AI-augmented workflows, I can confidently say: we were not just ahead of the curve … Read more
In my journey developing AI capabilities for Singapore through AI Singapore’s numerous programs, one thing has become abundantly clear: organizations and individuals need personalized guidance to navigate their AI journey effectively. This is why I am excited to announce major updates of LLX – Laurence Liew Extended – a virtual assistant designed to accelerate your … Read more
When I started with AI Singapore in 2017, my mission was simple – to help 100 companies build AI solutions through our 100 Experiments (100E) programme. Today, that mission has expanded into creating a comprehensive AI ecosystem that positions Singapore as a leading AI-First nation. Recently, I came across Prof Wang Gungwu‘s work, articles, books … Read more
Over the past few months since launching my book “AI-First Nation,” I’ve been reflecting on how rapidly the development landscape is transforming with the rise of AI coding assistants. These reflections have crystallized into some insights I’d like to share with our growing community of AI enthusiasts and professionals. The Changing Reality for Developers AI … Read more
When SMEs approach me about adopting AI, they typically ask: “What AI use cases can I use in my business?” While it seems like a straightforward question, finding the right AI application is not a one-size-fits-all exercise. It’s more art than science, requiring an understanding of both the business context and AI readiness. Beyond the … Read more
When my team and I developed the AI Readiness Index (AIRI) in 2019, it helped organizations understand their AI maturity and what steps they needed to take to become AI-ready. Fast forward to today, and I am excited to introduce the Personal AI Readiness Index (pAIRI) – a framework for individuals to assess their own … Read more
When DeepSeek announced they trained their V3 language model for just $5.6M, many were impressed including me. From an engineer’s perspective after reading the paper, its a “of course why not”, but to investors and many riding on the AI hypwagon, they were “caught of guard”. That $5.6M figure – it’s just the final training … Read more
When AI Singapore started in 2017, we faced what seemed like an impossible challenge. We needed AI Engineers to work on AI projects, but we could not hire enough AI engineers. This article describes the AI Apprenticeship Programme (AIAP) and why it is putting a mark on the global stage. Traditional academic routes were not … Read more
Big data, data science, machine learning, and now “open source” (more correctly called source-available, weights-available as their data and sometimes their training methods are not freely shared) Large Language Models (LLMs) are all the rage and have tons of hype, for better—and in some ways, for worse. Having spent my early career building open-source Linux … Read more