Tag: Artificial Intelligence
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The Four Pillars Revisited: Essential Skills for Data Scientists in an Agentic AI World
From Model Builders to System Orchestrators When I first wrote about the Four Pillars of a Successful Data Scientist—Logical Thinking, Hunger to Learn, Passion to Implement, and Communication Skills—the field was focused on building and deploying single, powerful models. The goal was to move projects from “pilot purgatory” to production. Today, in 2026, the terrain has…
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Escaping Pilot Purgatory 2.0: Strategies for Scaling Agentic Workflows in Production
From Static Models to Dynamic Workflows: A New Frontier of Stalled Progress In my 2024 article, “Pilot Purgatory in Machine Learning,” I explored the frustrating gap where promising AI prototypes fail to deploy. Two years later, we face a more complex challenge: Pilot Purgatory 2.0. This isn’t about deploying a single model anymore—it’s about scaling dynamic…
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Agentic AI in 2026: From Hype to Real-World Deployment in Asian Enterprises
Introduction: Emerging from “Pilot Purgatory” Just two years ago, in my 2024 post on “Pilot Purgatory in Machine Learning,” I discussed the frustrating gap between promising prototypes and deployed production systems. Today, as we examine the state of Agentic AI in 2026, we witness a remarkable transformation. The landscape has evolved from isolated experiments with tools…
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The Misconceptions of LLM: Is a Large Model Really Omnipotent?
In recent years, with the rapid development of large language models (LLMs), many corporate executives have been eagerly embracing this technology, believing it to be a panacea for all problems. Since early 2025, the rise of DeepSeek has further fueled market enthusiasm, especially in Hong Kong, where many enterprises have begun massive investments in LLM-related…
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Trends in Data Science for 2020 & 2021
I have not published any article for more than 2 months. It was extremely busy for the re-work on different project schedules and additional administrative work due to the coronavirus crisis. For this time, I would like to share an article planned to published by the end of January 2020. It’s about the coming trend…
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Don’t abuse the term “AI” – Artificial Intelligence
There are lots of people introducing themselves as “AI experts” since 2017. However, I am not sure how many of them are understanding the difference between Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). Most of the self-claimed AI experts are doing some ML or DL tasks in a particular area like Object Recognition (image…