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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
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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
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Pilot Purgatory in Machine Learning: Why Most Models Excel in Prototyping but Fail to Deploy in Production
The POC-to-Production Gap: A Persistent Challenge in Applied ML As data scientists, we’ve all encountered the frustrating reality of “pilot
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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
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Multimodal AI: Combining Text, Images, and Audio in Models (e.g., GPT-4V, LLaVA)
Artificial Intelligence is evolving rapidly—from processing text in chatbots to understanding images and even interpreting audio. At the forefront of
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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
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Changes in Moral Standards and Current Workplace Challenges
In recent years, many business leaders and management teams have observed a sharp decline in work ethics, sense of responsibility,
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From Blocker to Builder: Transforming IT to Fuel Business Innovation
Introduction In today’s fast-paced business environment, technology is the backbone of growth, innovation, and efficiency. Yet, many organizations find their
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Standing Firm on Professional Integrity: The Crucial Role of Data Scientists in Data Warehousing and Governance
In the realm of data science, maintaining professional integrity is not just a matter of ethics; it’s a cornerstone of
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The Four Pillars of a Successful Data Scientist: Logical Thinking, Hunger to Learn, Passion to Implement, and Communication Skills
In today’s data-driven world, the role of a data scientist is both crucial and multifaceted. Success in this field requires