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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We explore what data maturity really means from a business perspective, how to identify an organization's current level of data maturity, and why advancing AI without a solid foundation can generate more risks than benefits.
Dedo señalando a una pantalla de computadora
We analyze what data stewardship means and entails, and the challenges it presents for individuals and organizations. We also address the role of the data steward and the disruption that artificial intelligence introduces to data governance processes.
Una persona manipula una imagen en 3D que representa información digital
In this article we organize the discussion around three key axes: the different possible modernization routes, the main trade-offs that condition decision-making, and the specific criteria to evaluate each scenario, with metrics and a roadmap adjusted to the maturity level of each organization.
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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.
Casos de uso de Data & IA por industria
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.
Persona apuntado a una imagen representativa de la IA
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.
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