Tag: Data Governance
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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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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 effective and meaningful work. Recently, I encountered a situation during a data warehouse project that highlighted the importance of this principle. I authored a “Data Gap Analysis Report,” where I identified several internal data errors…
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Open Source Solutions for Comprehensive Data Governance and AI Governance
Introduction: As a data scientist with limited budget constraints, implementing effective data governance and AI governance practices can be challenging. However, leveraging open source solutions can provide cost-effective options for managing data, ensuring data lineage, and maintaining metadata integrity. In this article, we will explore step-by-step strategies and open source tools to establish a robust…