The phrase “network autonomy” is everywhere. But what does it actually look like in practice? In this session, we will demonstrate an interlocking AI architecture working across a real-world network to identify, triage and resolve traditionally hidden issues in minutes, not hours. Watch foundation models detect the anomaly, the reasoning engine correlate it across topology and config state via MCP, and agentic processes propose and execute governed remediation through Ansible. As important, we will introduce a working model for human + AI partnership where every AI decision is transparent, confidence-building and overridable.
Sanil Nambiar is currently program director, portfolio strategy for IBM’s software networking business. He is
responsible for establishing consistent and repeatable strategy for telco and enterprise management solution patterns,
evaluate ecosystem partnerships and M&A, bring deep technical and market insights about the enterprise and
telecom network management space, and work with product management to bring differentiated products to the
market. He has over 20 years of industry experience working with tier 1 telcos and large enterprises worldwide in
the areas of Network automation, Telecom OSS, Analytics & AI /ML in Telco, and software defined networks. He is
currently spearheading initiatives involving AI and declarative automation leading to autonomous network goals.
Sanil joined IBM in 2006 via the acquisition of Micromuse, the Netcool company.