Artificial Intelligence is a key tool for companies, but its integration continues to pose a significant challenge in corporate environments.
In this context, at fibratel we have positioned ourselves in AI with a value proposition designed to support organizations in its real adoption.
Two key challenges in AI adoption
The adoption of AI mainly faces two key challenges:- Preparing infrastructures to support AI
- Ensuring data security and governance.
A value proposition based on three pillars
AI only generates value when infrastructure and security are prepared to support it. Therefore, our proposal is structured around three pillars.1. AI-ready infrastructure (/ftic)
AI requires new capabilities in computing, storage, and networking. To achieve this, we focus on:- Increasing data power density
- Low-latency networks for GPU environments
- Advanced cooling solutions
- Intelligent data center management (DCIM)
- High-availability networks and advanced connectivity
2. Data security and governance (/fsafe)
Since AI increases risks related to data access and processing, we include:- Control over the use of public AI tools
- Data loss prevention (DLP)
- Protection of APIs and internal models
- Zero Trust architectures and auditing of operational usage
3. Integration and operations capabilities (services)
At fibratel, we support organizations in integrating these technologies and ensure that IT systems maintain their performance and reliability through:- Technology architectures based on GPU clusters
- Modular and scalable infrastructures
- Storage optimized for large volumes of data
- Automation of AI platform deployment.

