Bienvenidos al Data Latam Podcast donde exploramos la industria de datos en Latino América. En este podcast sobre ciencia de datos y datos abiertos exploramos tecnologías, aprendemos sobre ciencia de datos, hablamos de tendencias y eventos relevantes de la industria, y compartimos novedades del sector. También traemos invitados que pueden aportar al aprendizaje, desde académicos hasta profesionales aplicando ciencia de datos en su día a día.
In this episode, we chat with Dr. Julia Stewart Lowndes, marine ecologist and Founding Director of Openscapes. Drawing from her transition from tagging Humboldt squid to leading open science initiatives with NASA and NOAA, Julia discusses why the social infrastructure—teaching pedagogy, co-working, and active mentorship—is just as critical as technical tooling. We explore how Quarto streamlines cross-agency documentation and why the human element remains irreplaceable in scientific workflows, even as generative AI accelerates data wrangling.
1 Nov 2026
Ricochet, Rootless Containers, and Why R Belongs in Enterprise Prod
In this episode, we speak with Josiah Parry, member of the spatial analytics and data science team at Esri and creator of Ricochet, a deployment platform designed to bring data science into production. Josiah shares his journey from sociology and urban informatics to building open-source tools in R and Rust. We explore the architecture of Ricochet, the critical role of rootless containerization, and the difference between vibe coding and real AI-assisted development. Finally, we analyze the distinct mindsets of software engineers versus data scientists, and the societal implications of delegating thinking to AI.
23 Aug 2026
IA como habilitador en Supply Chain
En este episodio conversamos con Eric Sánchez, socio en Deloitte especializado en estrategia de cadena de suministro (supply chain). Con una trayectoria que abarca empresas como Coca-Cola FEMSA y Mercado Libre, Eric aborda la complejidad de unificar los datos en la logística tradicional y el comercio electrónico. Analizamos el reto de crear una única fuente de verdad superando la dependencia del Excel, el impacto de los paquetes de software frente al desarrollo a medida, y cómo aplicar la Inteligencia Artificial de forma pragmática como un habilitador para optimizar operaciones y generar ventajas competitivas.
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