💬 Q: Why is Generative AI such a big deal right now?
A: Because it’s changing the game. GenAI isn’t just another tech trend — it’s a new interface between humans and data. It enables natural language interactions with systems, turning everyday questions into data-driven answers. But like any powerful tool, it only works well when it’s grounded in high-quality, well-governed data.
💬 Q: What’s the biggest challenge companies face when adopting GenAI?
A: Access to the right data. Everyone is excited about LLMs and GenAI applications, but most organizations struggle with data that’s fragmented, outdated, or lacking business context. And that leads to a big risk: hallucinations — AI confidently giving wrong answers.
If your data isn’t connected, contextual, and compliant, GenAI won’t just underperform — it could mislead you.
💬 Q: What’s the difference between RAG and Query RAG?
A: Great question. RAG — Retrieval Augmented Generation — means enriching GenAI responses with real-time data. But at Denodo, we take it a step further with Query RAG: enabling LLMs to generate actual queries that pull governed, real-time data directly from your systems.
This means results aren’t just relevant — they’re traceable, secure, and compliant.
💬 Q: Is GenAI just for tech teams?
A: Not at all. The true promise of GenAI is making data accessible for everyone — from marketing to finance to operations. But for that to happen, data has to be decoupled from complexity. That’s where logical data management comes in — it lets users interact with the data without needing to know where it lives or how it’s structured.
Logical data management is an approach that abstracts data access from the underlying sources, enabling a unified, virtual view of data without physically moving it. This allows users and AI systems to interact with data in real time, regardless of where it resides, while maintaining consistency, security, and business context.
💬 Q: Can I use GenAI on top of my existing data stack?
A: Yes — and you should. Reinventing your architecture from scratch isn’t realistic. The key is adding a logical layer that connects your data sources and makes them GenAI-ready. At Denodo, we’ve designed our platform to do exactly that — no rip-and-replace required.
That’s where Denodo excels. Our platform not only provides real-time access to distributed data, but also includes a semantic layer that adds business meaning and context — a key factor in reducing hallucinations and improving the accuracy and trustworthiness of GenAI outputs.
💬 Q: Is this secure? What about governance?
A: Security and governance aren’t optional — they’re essential. Our approach ensures that access controls, masking, and policies are enforced from a single logical layer. So even if GenAI is powerful, it only sees what it’s allowed to.
💬 Q: What’s next?
A: We’re just getting started. GenAI is going to change how we work, how we learn, how we interact with systems. But none of it will work without trusted data underneath. That’s why at Denodo, we’re focused on building the AI-ready data foundation — logical, secure, real-time, and connected.
Let’s build the future responsibly.
This blog was just the beginning. If you’re a data leader navigating the GenAI shift, we invite you to read The Denodo GenAI Manifesto — our bold vision for responsible, scalable, and trust-driven AI.
