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.
Jason Lovelace is a product management leader with over 20 years of experience building and scaling enterprise SaaS and cloud platforms. He currently leads outbound product management for IBM Automation, guiding product strategy, market engagement, and go-to-market execution. Previously, he held leadership roles at Amazon, ADP, and JPMorgan, driving innovation in compliance technology, workforce management, and enterprise integrations. Jason is recognized for his ability to translate complex technical and business needs into scalable solutions while engaging executives, clients, and stakeholders.
