Articles
Analysis on the AI Act, governance frameworks, Data Governance and AI compliance, for professionals worldwide.
Browse by topic: AI Act · Data Governance · Frameworks · Compliance
AI Act Key Dates 2025-2027: Complete Regulatory Calendar
Full AI Act calendar: application dates, deadlines for high-risk systems (Annex III) after the May 2026 Digital Omnibus, obligations by risk tier, and what your company must do before December 2027.
Read →ISO 42001 vs NIST AI RMF: How to Choose Your AI Governance Framework
Two references, different by design. We compare scope, certifiability and required maturity, and propose how to combine them.
Read →AEPD and Agentic AI: How Spain Is Regulating Autonomous Generative AI
The AEPD's February 2026 guidance has changed the landscape. We review the key risks and expected mitigations.
Read →How to Implement an Effective Data Governance Framework in the AI Act Era
Roles, architecture, lineage and data quality: a practical guide to building an auditable, AI Act-compliant framework, with tools and a final checklist.
Read →Roles and Responsibilities of a Data Governance Team: The Minimum Structure for the AI Act
What each Data Governance role does, what profile it needs, and the minimum structure for governance to work and comply with the AI Act.
Read →What a Data Catalog Is and What It's Really For
What a data catalog is, how it works internally, what tools exist in 2026, and why most implementations fail before the six-month mark.
Read →What Data Lineage Is and Why the AI Act Requires It
What data lineage is, types of lineage, tools to automate it, and why Article 10 of the AI Act makes it a legal obligation for high-risk systems.
Read →Data Quality Management: What It Is, How to Measure It and Why the AI Act Cares
Data quality dimensions, how to implement rules as code, tools in 2026, and what the AI Act requires regarding training data quality.
Read →How to Measure Data Quality: KPIs, Thresholds and Dashboards
The 7 fundamental data quality KPIs, how to set thresholds with the business, how to build a dashboard someone with authority actually checks weekly, and where to measure in the pipeline.
Read →The 6 Dimensions of Data Quality, Explained With Real Cases
Completeness, accuracy, consistency, timeliness, validity and uniqueness: what each one measures, why it matters, and real cases that illustrate the impact when it fails.
Read →Is AI Cheaper Than an Employee? The Real Answer for Data Professionals
What an AI agent doing a Data Governance Specialist's job really costs. Real numbers, a comparison with human cost, and where AI amplifies rather than replaces.
Read →Key Skills in Data and AI Governance: Beyond the Technical
What a Data or AI Governance role truly needs isn't Python or advanced SQL. It's judgment, negotiation skills, systems thinking, and regulatory understanding.
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