From Pilots to Real Impact

AI Agents and Process Optimization converge to transform unstructured data into actionable insights with Globant Enterprise AI. In this talk, you will learn the tangible benefits of this approach, showcasing real-world impacts that not only reduce manual efforts but also transform the way businesses operate, ultimately delivering measurable value. Join us to explore real-world success stories driving efficiency and innovation.

AI coding agents are advancing quickly, but turning them into reliable, production-ready systems remains one of the hardest challenges in modern engineering. In this session, we’ll share the ongoing journey of building Globant CODA, our AI coding agent, and the architectural decisions and engineering principles that have shaped its evolution.

You’ll see how iterative learning led us through two major refactorings, why we prioritize code quality over short-term speed, and how dogfooding Globant CODA became a core development practice that exposes issues early and accelerates improvement. We’ll also explore how an AI-first team culture emerged naturally, with AI assisting across the entire development lifecycle, from triage and design to debugging and code review.

You’ll leave with a clear, practical view of what it truly takes to build advanced AI developer tools in a rapidly evolving landscape, and insights you can apply to your own agentic engineering efforts.

Great products begin with a spark, but transforming that spark into structure is where innovation often slows down. As organizations strive for speed and clarity, product teams face endless meetings, fragmented notes, and delayed definitions that hold back delivery.

In this session, we’ll explore how Globant CODA is reimagining Product Definition through Agentic AI. You’ll discover how the Product Definition AI Agent transforms unstructured discussions into actionable artifacts, reducing cycle times and aligning teams around a shared vision.

You’ll leave with a clear view of how AI can turn collaboration chaos into momentum, enabling product teams to move from idea to backlog with precision and speed