Month: April 2026

  • Data Governance in the Age of AI Agents: Lessons from Asia’s Regulatory Landscape

    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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