Insights

En la imagen se ve un grupo de dos mujeres y dos hombres sonriendo a cámara. Uno de los hombres sostiene en sus manos un certificado de finalización de un curso de formación en tecnología.
Great Place to Work

5 keys to retaining talent in the IT industry

In this article we analyze the fierce competition for talent facing the IT industry and share 5 keys to retaining technology teams: authentic value proposition, professional development, organizational culture and empathetic leadership, flexibility and well-being at work, and genuine recognition.

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AI driven data

Data Strategy with AI: From Vision to Business Transformation

We analyze how to transform AI into tangible value through an AI-First strategy. We share key insights for prioritizing use cases, defining a minimum architecture, establishing KPIs for each stage, and industrializing with focus. A practical roadmap for scaling data with real and sustainable impact.

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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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