IBM has unveiled IBM Network Intelligence, a new AI solution designed to handle the growing complexity of telecommunications and enterprise networks.
Built in collaboration with IBM Research, the platform combines time-series foundation models with LLM-powered reasoning agents to create a network-aware AI collaborator that can manage data across fragmented domains, detect hidden issues, and surface high-confidence insights.
By pairing analytical AI for telemetry with reasoning AI for contextual automation, IBM aims to reduce the manual burden on network teams and accelerate the path toward autonomous operations.
IBM Granite Time Series Foundation Models power the solution, pre-trained on high-volume telemetry, alarms, and flow data to deliver early-warning signals and improved accuracy over rule-based tools.
On top of this, IBM’s agentic AI framework uses watsonx technologies to guide troubleshooting, automate root cause analysis, and generate remediation plans with human-in-the-loop controls.
The system is designed to replace traditional multi-team “war rooms” with a continuous, explainable intelligence layer, allowing organizations to adopt agent-driven actions gradually.
With IBM Network Intelligence, enterprises gain a scalable, trustworthy foundation for resilient, future-ready networks.
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