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Abstract: Artificial Intelligence has quickly become a powerful tool for addressing complex systems problems, and networking has been no exception. Yet, the journey from promising idea to practical impact often reveals unexpected challenges and deeper insights. In this talk, I will reflect on lessons learned from applying AI to networking problems, drawing on experiences from our Maestro and Wixor projects. These efforts tackled issues such as Wi-Fi QoE orchestration and cellular (5G) resource scheduling, showing both the promise and the limits of AI in networked systems.
Several themes emerged across these projects: the critical role of formulating the right learning problem, the tradeoffs between model complexity and system usability, and the value of embedding domain knowledge into AI-driven solutions. Along the way, we also discovered that applying AI to networking is not just about better algorithms—it can reshape how we think about networks themselves.
The talk will take a step back to distill these experiences into broader reflections: when does AI truly help in networking, what pitfalls should we anticipate, and how can we design systems that are both intelligent and trustworthy? My hope is that these lessons will resonate beyond specific projects, offering a guide for researchers and practitioners working at the intersection of AI and networking.

About the Speaker: Puneet Sharma is an HPE Fellow, Vice President, and Director of the Networking and Distributed Systems Lab at HPE Labs, where he leads the company’s research in Edge-to-Cloud-to-Exascale Infrastructure, Multi-Cloud Resource Orchestration, AI for Infrastructure, 5G/WiFi, and Security. He has been a key driver of HPE’s innovation pipeline, delivering breakthroughs in software-defined networking (SDN), GPU virtualization, container orchestration, edge computing, WiFi, Private 5G, and AI/ ML systems. His work has resulted in major technology transfers and business impact across multiple HPE business units. Since joining HP Labs in 1998 after earning his Ph.D. in Computer Science from the University of Southern California, Puneet has built and led high-impact research teams tackling complex challenges in networking and distributed systems. His early leadership was instrumental in integrating the OpenFlow SDN protocol into HPE’s switching platforms — laying the foundation for SDN’s global adoption in cloud and data center environments. He has also contributed to Internet standards, co-authoring IETF RFCs on multicast routing protocols and the UPnP QoSv3 standard. 

Know more.. https://www.hpe.com/psnow/doc/a00150137enw

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