IBM Network Intelligence: Live AI Detection, Diagnosis, and Remediation – IBM Triple-T
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.
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.
