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GenAI in Production: Human-Centered Systems & Reliability

Getting AI to work in a demo is one thing. Making it reliable, useful, and widely adopted in production is quite another.

In this edition of the GenAI Community Valencia meetup, we will explore the two sides of the same challenge: how to create AI systems that people can use and trust, and how to design AI-driven development workflows that remain predictable as complexity increases.

Two talks. Two perspectives. One common question: What does it really take to get AI up and running in production?

Designed for data, not for people

Mayela Zambrano

Data and AI Consultant and Strategist

Most AI projects don’t fail because the model is wrong. They fail because we design them with the data in mind rather than the people who have to act on that data.

Drawing on real-world implementation cases in the healthcare, asset management, and industrial operations sectors, Mayela will analyze why technically sound systems continue to be overlooked and why removing the “human layer” can silently cause problems once AI reaches the production phase.

By the end, you’ll walk away with three questions to ask yourself before developing anything, as well as a clearer understanding of where the real work of AI often lies: not in the model itself, but in the human decision it is meant to support.