How Human + AI Partnership Will Redefine Network Operations
For most organizations, the low-hanging network issues are solved; thresholds, polling, and playbooks handle them. The remainder? Issues that cross domain boundaries, evade static rules, and cannibalize NOC time while defying existing solutions. At IBM, we believe the right AI architecture can transform this space: time-series foundation models that observe without thresholds, paired with agentic reasoning that forms root cause hypotheses across your full stack. This session covers why the architecture matters and how context engineering, composable skills, and the open Model Context Protocol (MCP) create an extensible AI pipeline enterprises can localize and govern, with human oversight at every decision point. You’ll leave with a clear framework for evaluating where AI fits in your operations model and what it takes to build trust between NOC teams and intelligent systems.
Saurabh Aditya is Principal Product Manager at IBM, specialising in network AI, automation, and hybrid cloud networking. A passionate advocate for “AI for Networking,” he is deeply engaged in exploring how emerging technologies are redefining the future of connectivity. With a career spanning software engineering leadership and product development, he has played pivotal roles in the development of networking protocols, platforms, and operating systems. His experience also includes impactful contributions within the startup ecosystem, particularly in analytics and Software Defined Networking (SDN) space. He is committed to deep technical proficiency, holding CCIE Service Provider #44459.
