Insights

El mainframe del futuro. Centro de excelencia mainframe IT Patagonia.
Cobol Developers

Mainframe talent gap: A tsunami that can be contained

In this article, we analyze with Mafer Martínez, IBM's Latin American zSkills Influencer, why mainframes remain crucial in today's businesses and how they will continue to be so in the future. We also discuss the most in-demand skills for organizations and ways to acquire them.

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Replatforming: ¿cuándo y por qué migrar de infraestructura IT?
Mainframe modernization

Replatforming: Should you migrate from mainframe to cloud? Our expert opinion

Together with Leo Zrycki, director of the Mainframe Center of Excellence at IT Patagonia, we explore the keys to replatforming as an IT modernization strategy and analyze when to implement this type of project and its differences with refactoring.

In addition, we identified some common errors in these processes and key insights for anticipating trends related to infrastructure migration.

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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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