HPE has held a new edition of its HPE Networking Day event in Madrid, a meeting that brought together more than 120 customers and technology managers at the Riyadh Air Metropolitan Stadium to analyze how native artificial intelligence networks are redefining the digital infrastructure of organizations.
During the day, the main challenges of connectivity, security and network management in increasingly complex environments were addressed, as well as the evolution towards autonomous networks capable of optimizing their operation automatically.
Resilient digital environments
The event focused on the strategic role of networks in the digital transformation of companies, in a context marked by the expansion of AI, the growth of edge computing and the need to guarantee resilient digital environments. In this scenario, HPE showed how networks designed with artificial intelligence and for artificial intelligence make it possible to automate operations, anticipate incidents and improve the experience of users and applications.
“With HPE Networking we are helping companies and administrations to manage increasingly complex environments with greater efficiency, resilience and control, preparing their infrastructures for the new technological cycle driven by AI. Networks have ceased to be a simple layer of connectivity to become a strategic platform for innovation and business,” commented Alfredo Yepez, Senior Vice President of Latin America and Southern Europe at HPE and President and CEO of HPE Spain, who highlighted the change that the sector is experiencing at the inauguration of the day.
“With AI-native networks, organizations can manage complex environments more efficiently, anticipate problems, and deliver safer, more consistent digital experiences.”
The stadium as a real example of a native AI network
During the technical sessions, HPE experts analyzed the evolution towards autonomous networks, a model capable of automating operational tasks, optimizing performance and responding autonomously to incidents or threats. This approach combines advanced analytics, automation, and machine learning to simplify network management in distributed environments, from campuses and branch offices to data centers ready for AI workloads.
“The next generation of digital infrastructure requires networks that not only connect devices, but also understand what happens in them and act in real time,” explained Álvaro Morán, Country Manager of HPE Networking Spain, underlining the need to design infrastructures prepared for the new technological cycle driven by artificial intelligence.
“AI-native networks allow you to transform network management, reduce operational complexity and offer levels of security and performance in line with the current needs of organizations.”
Smart grid infrastructure
The event setting itself served as a practical example of this technological evolution. The Riyadh Air Metropolitano is immersed in a modernization process following the agreement between HPE and Atlético de Madrid to transform the stadium’s network infrastructure through intelligent architecture based on AI.
This approach combines advanced analytics, automation and machine learning to simplify network management in distributed environments
The project includes the installation of more than 1,500 next-generation WiFi 7 access points, managed through the HPE Aruba Central platform, which will optimize connectivity, reinforce security and improve the digital experience of fans through high-performance wireless networks.
Other key areas of business networking were also discussed during the meeting, such as network architectures for AI-ready data centers, routing solutions from the edge to the core, and comprehensive security strategies to protect critical infrastructures from increasingly sophisticated threats.
The day concluded with a vision of the evolution towards increasingly autonomous networks, capable of self-optimization, detecting anomalies and responding proactively to business needs. With this approach, HPE reinforces its commitment to leading the transition towards AI-native networks, a new generation of infrastructure aimed at simplifying network management, improving security and accelerating digital innovation.
