Artificial intelligence systems, with their rapid development in recent years, have not only brought about a technical transformation but have also created new areas of debate regarding fundamental rights and freedoms, especially the right to the protection of personal data. In particular, in scenarios such as automated decision-making, profiling, and bias generation, personal data processing activities have become systemic, making a regulatory framework in this area inevitable.

Large Language Models (LLMs) are increasingly woven into the fabric of modern workflows, sometimes subtly, sometimes disruptively. Whether you’re refining an internal policy, analyzing employee feedback, or drafting multilingual content, chances are an LLM is somewhere in the process.

But what are these systems really doing? And how can businesses understand their potential without getting lost in technical jargon?

This guide explains what LLMs are, how they work, where they’re already creating value , and how to adopt them responsibly without needing a data science degree.

A Step-by-Step Guide with OpenAI, Claude, and n8n

AI agents are transforming how businesses approach automation. These systems can reason, take action, and complete tasks with minimal human input—converting meeting notes into actionable items, analyzing emails, or routing data across platforms to significantly enhance operational efficiency.

In this guide, we walk you through how to build AI-powered automation workflows using OpenAI, Claude, and n8n, step by step.

As artificial intelligence continues to evolve, we’re witnessing a shift from passive language models to agentic AI systems—autonomous programs that can perceive, plan, and act in dynamic environments. These AI agents are capable of executing complex tasks independently. (If you're unfamiliar with this concept, check out our article for a quick introduction.)

Rapid advancements in artificial intelligence technologies have ushered in a new approach that goes beyond traditional systems: AI agents. These autonomous software systems represent a form of AI that not only responds to commands but can also perceive its environment, make decisions, and act upon them.

The United Kingdom’s Information Commissioner’s Office (ICO: Information Commissioner’s Office) examined the future through its Tech Horizons report, published on 20 February 2025. The report scrutinizes four key technologies expected to impact our lives within the next 2–7 years.

In this article, aimed at technology enthusiasts, data protection professionals, and developers, we will closely analyze the opportunities offered by each technology and the accompanying responsibilities regarding data protection and privacy—all based on the data presented in the report.