Should AI be stopped before it is too late?
The new generation of AI is putting its control mechanisms to the test.
Earlier articles
The 10 mistakes that make an AI project fail
The keys to avoiding them from the outset.
The augmented enterprise: how AI changes your organisation
What it is, how it differs from automation and where to start
Structured knowledge: the new competitive advantage
Why data is no longer enough to set your company apart
What is an AI agent and why it will be key in 2027
The technology that will move from pilot to business standard
AI tokens, the new measure of productivity
Tokens are forcing companies to optimise productivity, costs and efficiency.
What it costs to depend on an external AI model
Beyond the subscription: the real cost to your company
Four words are enough to take control of AI
AI security is no longer a problem for the future, but for the present.
What technological sovereignty in AI really means
Real control of your AI or strategic dependence
AI-driven productivity is not just about automation
AI creates more value when it empowers people than when it replaces tasks.
Is it safe to use ChatGPT or Copilot in corporate environments?
More and more sensitive corporate information is leaving organisations.
The EU tightens the regulatory framework for AI
A hundred days before the final deadline, compliance is no longer optional
Companies are no longer trusting external AI
The solution: private AI models
Corporate reputation vs AI
Corporate reputation at risk in the age of AI
AI trends for 2026
Copilots, autonomous agents and cognitive cybersecurity
Serverless architectures for AI
Deploying models on demand
The importance of chunking in RAG systems
Splitting data better to get more accurate answers
MCP, the new integration standard for AI
An open protocol for integrating AI into business environments
RAG in corporate AI: what it is and why it matters to your company
Reliable answers, guaranteed context
AI Act. The first regulation of the use of AI
The new legal framework that will transform artificial intelligence in the EU
From Big Data to Smart Data
How AI turns data into actionable knowledge
Security and privacy in the age of artificial intelligence
How to protect information in AI-driven environments
From chatbots to intelligent assistants
AI that understands the business, not just the words
Open AI models vs closed AI models
Advantages, risks and costs of each approach in enterprise artificial intelligence
AI cybersecurity: real threats and how to protect your company
Real threats and how to protect your company
Explainable AI (XAI): what it is and why companies need traceable AI
Transparency is key to the future of AI
The importance of graphs in RAG systems
From semantic search to structured knowledge through graphs