Ricardo Angel Granados Lopez
Ricardo Angel Granados Lopez is an analytics engineer specializing in data engineering and analysis. With a master's in IT management and a focus on data science, he is proficient in using various programming languages and tools. Ricardo is skilled in exploring efficient alternatives and has contributed to multicultural teams, creating business value with data products using modern data stack solutions. As an analytics engineer, he helps companies enhance data value through data modeling, best practices, task automation, and data quality improvement. His current focus is on grounding AI agents in real data models, making sure what they draft can actually be trusted, not just plausible.
Session
AI can already read and write your SQL and draft what a data model means. This talk is about what must be true for you to trust that draft enough to rely on it. We'll walk through a working pipeline, live, that grounds an AI agent's claims about your data in real evidence, and come away with a precise, testable answer for where that trust can be automatic and where it can't.