Insights

Ser una buena empresa para trabajar_IT Patagonia Great place to work
Great Place to Work

Being a good company to work for: how to attract and retain talent

We analyze the impact that focusing on people and building inclusive, multi-generational, healthy workspaces geared toward continuous improvement have on productivity and competitiveness. We also tell you about our vision and ongoing work to ensure that talents from all generations want to work with us.

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Claves para migrar a una arquitectura de microservicios-IT Patagonia
IT Modernization

Keys to migrating to a microservices architecture

We present the key factors to consider when choosing between microservices and monolithic architectures, their differences, the challenges that organizations face when considering a migration, and strategies and recommendations to resolve them.

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MLOPs en empresas
We analyze why many organizations get stuck in the experimentation phase, what the most frequent roadblocks are when trying to scale, and what concrete steps allow AI to be transformed into a real business capability.
Data fabric-IT Patagonia
The challenge is no longer adopting AI, but scaling it. We analyze how data fabric enables the creation of real business capabilities and positions itself as a strategic enabler for CIOs, CDOs, and data architecture leaders in data-driven organizations.
En la imagen se ve a un grupo de personas jóvenes reunidas en una formación sobre tecnología. Una mujer joven está compartiendo información a una audiencia.
Working in technology in 2026 requires much more than just knowing how to program. Discover which languages to study, how to use AI, and what skills will help you enter the IT job market.
Equipos de trabajo diversos-IT Patagonia

DEI

We analyze why diverse work teams are not built with speeches, but with strategic decisions that impact culture and business.
Lenguajes de programación 2026: qué estudiar para trabajar en IT
Discover which programming languages are worth learning in 2026, which are the most widely used, and how AI is transforming the way we program. A clear guide for those looking to start or advance in the IT industry.
Convertir datos en inteligencia estratética-modelos de datos con IA

AI

How to go from data to decisions with AI: minimal architecture, governance, evaluation and steps to implement business-aligned models.
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