Tag: governance
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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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Data Governance in the Age of AI Agents: Lessons from Asia’s Regulatory Landscape
When Your AI Assistant Becomes a Compliance Liability The rise of agentic AI systems—autonomous workflows that can execute tasks, make decisions, and interact with other software—marks a watershed moment for data governance. As I’ve written before regarding professional integrity in data science, control over data is the cornerstone of trust. However, an AI agent that can…
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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…