AI is everywhere. But if you delve into the topic, you'll quickly lose sight of the forest for the trees: AI, GenAI, Agentic AI—the terms are all over the place. What exactly do they mean, and what can you do with them as an organization? In this blog post, we'll clearly explain the differences and show you how to use these technologies smartly and securely in your data strategy.

What is AI?

Artificial Intelligence (AI) is the collective name for systems that perform tasks that normally require human intelligence. Think of pattern recognition, making predictions, or making decisions based on data.

Examples of AI in practice:

• Search algorithms that search and rank millions of documents.
• Fraud detection systems that detect anomalous transactions.
• Medical applications that analyze x-ray images.

So AI isn't new. Research into artificial intelligence has been going on since the 1950s. The difference now? Computing power, data volume, and tool availability are unprecedented, making AI applications rapidly gaining ground.

What is Generative AI (GenAI)?

Generative AI is a subset of AI. While traditional AI often focuses on classification or prediction, GenAI can create new content.

Examples of GenAI:

• Generate text (ChatGPT, Gemini).
• Taking pictures or videos (DALL·E, MidJourney, Sora).
• Writing or improving code.

This offers enormous opportunities for organizations: from automated reporting and document generation to contextual search results that go beyond a simple overview.

A concrete example: an employee searches thousands of documents for a policy. A GenAI model can not only find the correct paragraph but also summarize the core information and indicate relevant context.

What is Agentic AI?

Agentic AI goes a step further. It involves AI systems that independently perform tasks and make decisions. They often operate as a single "agent" that combines multiple AI models and allows them to operate in concert.

Examples of Agentic AI:

• An AI agent that answers customer questions by merging data from CRM, email, and knowledge bases.
• An agent that automatically scans security logs, reports anomalies and immediately creates a ticket in the system.
• A digital employee who initiates processes without human intervention.

The difference with GenAI? While GenAI primarily creates, Agentic AI can also act. It's not just an assistant, but an executive.

What does this mean for organizations?

The three concepts are not hype words, but building blocks that complement each other.

• AI helps you analyze faster and smarter.
• GenAI enriches those analyses with context, summaries and creative output.
• Agentic AI automates entire workflows and takes work off your hands.

At the same time, this also raises questions: how do you ensure safety and transparency? How do you prevent AI from making wrong decisions? And how do you ensure the technology aligns with your existing data strategy?

The Puur Data approach

At Puur Data, we believe that AI only truly becomes valuable when applied pragmatically and future-proof. Not isolated experiments, but smart solutions that strengthen your data strategy.

Search AI: Elastic + GenAI
With Search AI, we combine the power of Elastic Search with Generative AI. This means search results are not only available faster but also enriched with context and insights. This way, employees not only find information but also understand it better.

Consultancy: guidance from strategy to implementation
AI isn't a plug-and-play solution. Our consultants guide organizations step by step: from strategy and implementation to optimization. Always with a focus on efficiency, security, and future-proofing.

Pragmatic and reliable
Our starting point: reducing complex technology to understandable and applicable solutions. We show you how you can already benefit from AI today and how you can prepare your organization for the next step, such as Agentic AI.

Finally

AI, GenAI, and Agentic AI aren't just buzzwords, but rather links in a development that makes data smarter and more valuable. Where AI analyzes, GenAI adds context and creativity. And Agentic AI automates entire tasks.

For organizations, this presents enormous opportunities: faster searches, better insights, and greater efficiency. But it also means the responsibility to deploy this technology securely and strategically.

At Puur Data we help organizations do just that: pragmatically, reliably, and with a focus on results.

Curious how your organization can work smarter and more safely with AI?
👉 Download our Search AI Guide
👉 Check out our Elastic Consultancy Guide

Or feel free to contact us Contact with one of our experts.