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
Human Oversight Under the AI Act (Article 14): What It Requires
The deadline moved to 2027, but GDPR already requires something similar today. What Article 14 requires and why designing it now is cheaper.
Read more →EU Declaration of Conformity Under the AI Act (Annex V)
A client or an insurer may ask for it before a regulator does. What Annex V requires and why it isn't written from scratch.
Read more →AESIA or AEPD Inspection: What to Expect and How to Prepare
Spain has had its own AI sanctions regime since May 2026. Who inspects what, and what they'll ask for first.
Read more →DPIA for AI Systems: When It's Required and How to Do It
A high-risk AI system is almost always also a sign GDPR requires a DPIA. When it's mandatory and what it must include.
Read more →Shadow AI: How to Detect and Regularize It at Your Company
Banning AI doesn't eliminate it, it just hides it. How to find out what your workforce actually uses and regularize it without slowing the business down.
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 May 2026 Digital Omnibus, 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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