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Arcetec blog: Microsoft 365, Copilot, Azure and security.

What we learn running real platforms: cloud, data, security and applied artificial intelligence. Written by the people at the console, not by a content team.

Arcetec blog: Microsoft 365, Copilot, Azure and security.

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What we learn running real platforms: cloud, data, security and applied artificial intelligence. Written by the people at the console, not by a content team.

Recent articles

Confidential Computing: Data Security in 2026

In a world where digital transformation is advancing by leaps and bounds, confidential computing is emerging as a fundamental pillar that will allow companies to safeguard the integrity and privacy of their data in 2026. Confidential computing refers not only to the ability to process data securely; it also involves a holistic approach that aligns technology with today's business needs.

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AI Ethics and Sustainability in Digital Entertainment

Today, generative artificial intelligence (AI) is radically transforming the technology and business landscape. However, its evolution raises major ethical and sustainability challenges that must be addressed urgently. In this context, at Arcetec we promote the responsible use of these emerging technologies. This article explores the intersection of ethics and sustainability in generative AI, offering an in-depth analysis and practical recommendations for companies that want to adopt these innovations responsibly. Digital transformation should be a journey of continuous improvement, where ethics and sustainability are fundamental pillars at every step of the way.

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AI-Powered App Development in Colombia

The transformation of application development in the digital age has been profoundly shaped by artificial intelligence (AI), especially in Colombia, where companies are looking to modernize their processes and improve the user experience. In this context, integrating AI into the software development lifecycle not only optimizes efficiency but also enables unprecedented personalization, adapting to the specific needs of each client. First, it is important to understand how AI can help at each stage for the client.

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