Tag: #automation
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AI Bubble Deflation: What 2026 Means for Data Science Careers in Asia
From Hype to Harvest: Navigating the Market Correction The atmosphere in 2026 feels markedly different from the exuberant peak of the AI boom. The headlines have shifted from endless funding announcements and moonshot projects to talks of consolidation, profitability, and a renewed focus on Return on AI Investment (ROAI). For data scientists across Asia, from Bangalore…
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Building AI Factories: How Hong Kong Companies Can Create Scalable GenAI Infrastructure on a Budget
From Cost Centre to Competitive Engine: The “AI Factory” Mindset For Hong Kong’s dynamic businesses, the promise of Generative AI (GenAI) is tempered by a harsh reality: the perceived high cost and complexity of building a robust, scalable infrastructure. Many companies find themselves trapped in “Pilot Purgatory,” where impressive prototypes—like the autonomous agent systems we’ve…
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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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AI Agents & Autonomous Systems: How AI Agents Like AutoGPT Are Evolving
In the rapidly advancing world of artificial intelligence, a new frontier is emerging—AI agents and autonomous systems. These aren’t just models that respond to prompts; they are self-directed digital entities that think, plan, and act toward achieving goals with minimal human intervention. At the center of this movement are AI agents like AutoGPT, BabyAGI,…
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Data Science / Analytics – Best Practices
Many organizations and people are just focused on technology during the implementation of Big Data and/or Data Analytics. However, you should have the same predictive analytics result for the same algorithm no matter it is the programming code being written in SAS, R or Python. The truth is that the proper methodology is far more…
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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…