Articles
In-depth analysis on AI Act, governance frameworks, Data Governance and AI compliance — for professionals in Spain, LATAM and beyond.
Browse by topic: AI Act · Data Governance · Frameworks · Compliance
Data Protection and AI in Latin America: a country-by-country guide
Mexico, Brazil, Argentina, Colombia, Chile, and Peru — which authority regulates your data, and why Peru leads AI regulation in the region.
Read →Data Governance Framework: step-by-step implementation guide
Complete 4-phase roadmap from diagnosis to scaling — based on DAMA-DMBOK v2 and aligned with the AI Act and GDPR.
Read more →The AI Liability Act was withdrawn — here's what applies now
Withdrawn in October 2025, with no replacement announced. Here's what fills the gap: national law, the revised Product Liability Directive, and the AI Act as evidence.
Read more →EU AI Act Article 50: Transparency & Disclosure Rules Explained
In force since August 2, 2026 — and it reaches non-EU companies too. What chatbots, deepfakes and AI content must disclose, and what to check this week.
Read more →AI Act key dates 2025-2027: complete regulatory calendar
Full AI Act calendar: application dates, deadlines for high-risk systems (Annex III) after the Digital Omnibus (Regulation (EU) 2026/1744, in force since 27 July 2026), obligations by level, and what your company must do before December 2027.
Read more →ISO 42001 vs NIST AI RMF: how to choose your AI Governance framework
Two reference frameworks, different by design. We compare scope, certifiability and required maturity, and propose how to combine them.
Read more →AEPD and agentic AI: how Spain is regulating autonomous generative AI
The AEPD's February 2026 guidance has changed the landscape. We review key risks and expected mitigations.
Read more →The Data Governance Hierarchy: From Business Strategy to Execution
The 5 layers that connect business strategy to policies and day-to-day execution — and why skipping the top two sinks the rest.
Read more →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 framework compliant with the AI Act, with tools and final checklist.
Read more →Data Governance team roles and responsibilities: the minimum structure for the AI Act
What each Data Governance role does, what profile is needed, and the minimum structure for governance to work and comply with the AI Act.
Read more →What is a data catalog and what is it really for?
What a data catalog is, how it works internally, what tools exist in 2026, and why most implementations fail within six months.
Read more →What is data lineage and why does the AI Act require 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 more →Data quality management: what it is, how to measure it, and why it matters to the AI Act
Data quality dimensions, how to implement rules as code, tools in 2026, and what the AI Act requires for training data quality.
Read more →How to measure data quality: KPIs, thresholds and dashboards
The 7 fundamental data quality KPIs, how to define thresholds with the business, and how to build a dashboard that someone with authority looks at every week.
Read more →The 6 dimensions of data quality explained with real-world cases
Completeness, accuracy, consistency, timeliness, validity and uniqueness — what each measures and real cases illustrating the impact when they fail.
Read more →Is AI cheaper than an employee? The real answer for data roles
How much an AI agent that does the work of a Data Governance Specialist actually costs. Real numbers, comparison with human cost, and where AI amplifies rather than replaces.
Read more →Key skills in Data and AI Governance: beyond the technical
What a Data or AI Governance profile really needs is not advanced Python or SQL. It's judgment, negotiation, systems thinking and regulatory understanding.
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