At the recent 2025 EMEA Stakeholder Conference, HPE Networking showcased its innovative Agentic AI-driven “Self-Driving Networks,” emphasizing their role as essential infrastructure for digital transformation in the hospitality sector across the Gulf region. This technology is increasingly recognized as a pivotal component for enhancing sustainability and delivering superior guest experiences, particularly amidst the region’s expanding hospitality landscape.
The annual conference attracts over 700 hotel and real estate industry leaders from Europe, the Middle East, and Africa, providing a vital platform for HPE Networking to demonstrate its capabilities in creating secure and efficient AI-native networks. By integrating advanced technologies, HPE aims to facilitate seamless operations and enhance customer satisfaction in the hospitality sector.
During the event, attendees experienced an immersive demonstration in a dedicated experience room, revealing how Agentic AI transitions traditional automation into fully autonomous operations. This advanced form of artificial intelligence enables networks to proactively optimize performance, predict connectivity issues, and bolster security in complex property environments.
“We hear from hoteliers worldwide that they trust HPE Networking because we deliver solutions that help improve their guest experience, ensuring innovation, scalability, and reliability for the hospitality industry while helping them to optimize their resources. Our Agentic AI-driven ‘Self-Driving Networks’ deliver secure, scalable, and transformative experiences for hotels. By integrating IoT, advanced Wi-Fi, and cloud-native technologies, we are enabling hotels and resorts to move beyond connectivity and embrace their AI-powered digital transformation.”
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– Lars Koelendorf, Vice President, AI Networking Worldwide, HPE Networking
Key innovations presented at the conference included insights and automation capabilities powered by Agentic AI, which simplify network management, enhance security, and ensure high-speed guest connectivity. The live applications demonstrated during the event showcased IoT-driven integrations designed to optimize environmental controls, significantly reducing carbon footprints and energy costs while maximizing operational efficiency.
“The Middle East and Africa’s hospitality sector is at a pivotal moment, and HPE Networking is ready to accelerate their growth. Together with our partners, we’re committed to driving outcomes that matter because when our customers win, we win. For HPE, it’s about delivering premium guest experiences using the modern technologies that are available today. We have a lot of success stories in the region which are a testament to how we deliver efficiency, sustainability, and premium experiences.”
– Jacob Chacko, Regional Director, Middle East and Africa, HPE Networking
Central to HPE’s strategy is a unified, cloud-native management platform that offers hotel operators a centralized control system for managing their entire property portfolio. This innovative solution ensures a consistent and high-quality experience for both guests and staff, allowing hospitality organizations to efficiently manage multiple properties through a single interface.
Furthermore, the AI-powered management framework provides a secure integration for critical IoT devices, enabling smart room systems and sophisticated energy management controls, which are essential for driving operational savings and promoting environmental responsibility. By leveraging predictive analytics and AI-driven automation, HPE ensures reliable, high-speed Wi-Fi access while minimizing the need for manual interventions.
Reflecting on opportunities presented at the 2025 EMEA Stakeholder Conference, HPE Networking is poised to redefine the future of the hospitality sector in the region. The company’s commitment to delivering advanced, AI-driven solutions is not only crucial for operational efficiency but also aligns with the growing demand for sustainable and premium guest experiences.

















































