Analyses
Welcome to the Guenix Digital blog.
We will decode the issues of artificial intelligence governance and data governance for those who must implement them: leaders, project managers, legal teams, compliance teams, and digital professionals.
Our bias is to make these subjects clear, concrete, and directly applicable.
In each article, we start with a specific question: how to frame an AI project? What does the AI Act change for your organisation? Where does your data really go?...
We provide practical answers based on current texts, recommendations from relevant authorities, and the operational realities of organisations.
One conviction guides all of our publications: compliance does not hinder innovation. When integrated from the outset, it protects people, reduces risks, and preserves the value of AI projects.
- All articles
- News
- Breakdowns
- Case studies
Automated decision-making and GDPR: what the record fine imposed on Uber recalls about Article 22, genuine human intervention and...
Nexora: when AI reveals the limits of fragmented governance. The company name and certain details have been changed to...
Are you already using AI without knowing it? Why everything starts with an inventory Many organisations think they do not...
An AI model degrades silently after deployment. Understanding why monitoring is primarily an issue of...
Deploying an AI chatbot The compliance layers that are often forgotten A chatbot looks, at first glance, like a...
Framing an AI project: In what order should the right questions be asked? A framing sequence can be organised...
The EDPB has adopted three new guidelines on anonymisation, web scraping for generative AI, and blockchain. What it...
Understanding the different learning methods is essential for assessing bias risks, data needs and requirements...
