Davide Mauri

SQL is the interface between humans and AI when it comes to data.

I work at the intersection of SQL, data platforms, and AI, with a focus on making data systems more usable, more explicit, and more intelligent.

Why SQL in the AI age?

SQL is clear, succinct, explicit, and declarative. It sits at the intersection of human ingenuity, AI efficiency, and algorithmic precision.

Human ingenuity brings intent

People frame the questions, goals, and tradeoffs that make data work meaningful in the first place.

AI efficiency brings acceleration

AI agents can move faster across large datasets and workflows, helping turn intent into action at much greater speed.

Algorithmic precision brings trust

Precision keeps data work explicit, repeatable, and reliable, which is exactly why SQL remains such a strong interface.

Portrait of Davide Mauri

For more than 25 years, I have worked across software development, distributed systems, data platforms, IoT, and product. I started by writing software and grew into product leadership, but I still think in terms of systems, interfaces, and code that has to work in the real world.

Today I focus on the future of data platforms in the AI era. I believe SQL is the most important bridge between human intent and machine execution over data, because it gives people and AI systems a shared way to express what they need with clarity and precision.

SQL is the shared language for human intent and AI execution

When people need to say what data they want, and AI needs to act on that request, SQL provides a concise and unambiguous interface.

Declarative systems scale better than opaque orchestration

The more explicit the interface, the easier it is for humans to reason about outcomes and for machines to optimize execution.

AI quality depends on data platform quality

Models matter, but data foundations matter more. Reliable, accessible, well-governed data is what makes AI systems useful.

Great platforms connect ingenuity, efficiency, and precision

The best data platforms let human creativity, AI acceleration, and algorithmic rigor reinforce each other instead of competing.

Work and focus areas

I build and advise where data systems, SQL, AI, and product execution meet.