Driving Innovation without losing Control

Today, organizations must strike the right balance between innovation and control while navigating digital sovereignty, cloud adoption, open ecosystems and artificial intelligence. We spoke with Giulio Gaetani, Head of Global Software Hub at Italtel, about the challenges organizations face, the value of in-house software expertise, and why open, sustainable approaches are essential to enabling long-term technological evolution.

What we see is that organizations are going through a period of rapid technological acceleration. On one hand, they need to innovate; on the other, they must retain control over their data, processes and the platforms that support their business.

The challenge is not simply adopting new technologies, but doing so in a way that is sustainable and manageable over time. This is where technology partners become essential. Customers need expertise, strategic vision and, above all, open ecosystems that help them avoid vendor lock-in while preserving the freedom to evolve their technology choices.

At Italtel, we are in a unique position because we operate across both the Enterprise and Public Sector markets as well as the Telecommunications industry. This enables us to help customers bridge the gap between network infrastructure, cloud platforms and enterprise applications, building solutions that are more flexible, resilient and ready for the next wave of innovation.

When people talk about digital sovereignty, they often focus solely on where data or infrastructure is located. In reality, the concept is much broader. It is about having the ability to govern how technology evolves over time and building genuine strategic autonomy.

For us, that means investing in people, software engineering and in-house development capabilities. Having teams that design, build and continuously evolve our platforms allows us to respond faster to customer needs while ensuring long-term technological continuity.

It also means developing solutions based on open technologies, protecting critical know-how and reducing dependency on external decisions that may change over time.

This approach is becoming even more relevant as artificial intelligence and automation become integral parts of business operations. To unlock their full potential, organizations need the expertise to integrate these technologies securely, effectively and in line with their business objectives.

Automation is a fundamental step towards managing increasingly complex infrastructures. We have already delivered several network automation projects for both service providers and enterprise customers, achieving measurable improvements in operational efficiency, service quality and process standardization.

Today, we are moving towards Agentic AI, where we are no longer talking simply about systems that analyze events, but intelligent agents capable of operating within specific domains, interacting with tools and data, and actively supporting operational decision-making.

The natural evolution of this journey is autonomous networks—environments where AI continuously monitors network conditions, detects anomalies and goes beyond simply generating alerts by automatically triggering corrective actions.

This shift enables organizations to move from reactive operations to increasingly autonomous and predictive network management, while maintaining what matters most: full control over data, algorithms and operational processes through open, future-ready platforms with strong governance at their core.