DEI
At IT Patagonia, diversity is lived and built as a team.
We analyze why diverse work teams are not built with speeches, but with strategic decisions that impact culture and business.
Insights
IT training
Programming languages in 2026: which ones will enable you to work in technology
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.
AI
AI-powered data models: architecture and key decisions for generating sustainable value
How to go from data to decisions with AI: minimal architecture, governance, evaluation and steps to implement business-aligned models.
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.
cyberattacks
Incident response: how to prepare to respond effectively to cybersecurity incidents
We analyze how a robust incident response plan enables organizations to react to cyberattacks quickly and effectively, reduce costs, protect sensitive data, and preserve the trust of customers and partners.
IA-first
AI-first strategy: how to build an organization-wide management and adoption model
Why is AI-first a viable operating model and a path to business sustainability? We analyze its challenges, potential risks, roles involved, and a roadmap for moving from isolated initiatives to scale.
We explain what upskilling AI teams means and entails, and the key competencies that need to be developed to fully leverage AI in data management. We also analyze the keys to boosting internal talent growth.
We provide key insights for selecting cases that truly drive business KPIs, using an impact/KPI matrix, feasibility analysis, and risk assessment. This includes a checklist and steps to develop an effective strategy.
In this article, we share a practical guide for CIOs, CDOs, CISOs, data architects, compliance departments, and purchasing teams who need to evaluate AI vendors and define the minimum acceptable requirements to bring a solution into production without falling into failed purchases.
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.
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.
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.
