The Data Massagist The Data Massagist by Pablo Junco

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3 Articles match the selected category: Data Governance


Governing AI Responsibly in Modern Analytics Platforms

Governing AI Responsibly in Modern Analytics Platforms

AI adoption is accelerating—projected to reach 1.3B agents by 2028—making siloed approaches ineffective. Chief Data Officers (CDOs) are key to enabling responsible, scalable AI built on modern platforms like Microsoft Fabric, Snowflake, and Databricks, which now serve as both data and AI foundations. While Snowflake and Databricks offer flexibility, they require strong governance; Fabric emphasizes built-in control and compliance. As AI agents grow more autonomous, CDOs must expand from data governance to full AI governance, including models, prompts, and actions. Microsoft Purview emerges as a unified, cross-platform governance layer, enabling visibility, control, and risk management. Ultimately, responsible AI depends on architecture and governance by design—not just principles.

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Data Governance Databricks MS Fabric MS Purview Newsletter Responsable AI Snowflake

Zero Trust Security and Governance for AI

Zero Trust Security and Governance for AI

Zero Trust isn’t a product—it’s a strategic framework of never trust, always verify, least-privilege access, and assuming breach. Applied to AI, it ensures secure, ethical, and trustworthy adoption. Microsoft’s Responsible AI principles—accountability, transparency, fairness, and reliability—combined with Zero Trust, enable organizations to protect identities, devices, data, applications, and networks while fostering innovation. Using Microsoft solutions like Azure Confidential Computing, Purview, Federated Learning, Fairlearn, Entra ABAC, Content Moderator, and Defender for Cloud, organizations can secure data pipelines, train and deploy models responsibly, monitor AI workloads, and detect threats in real time. By prioritizing a “Security First, Always” approach, businesses can safely harness AI, maintain trust, and drive ethical, transformative innovation.

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Data Governance Responsable AI

Data Governance, a way to protect us while generating Business Value

Data Governance, a way to protect us while generating Business Value

Pablo Junco shares insights from his Forbes article on Data Governance, defining it as a framework of policies and standards to improve data quality, accelerate development, and ensure compliance. He highlights that data governance is a top priority for Chief Data Officers globally, including in Latin America. He outlines five key capabilities for a strong data governance strategy: data visibility, discoverability, security and access, regulatory compliance, and master data management. Junco also emphasizes Microsoft’s approach, including tools like Microsoft Purview, to provide a unified and simplified solution for governance and compliance.

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Data Governance Forbes

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