IBM announced the launch of IBM Network Intelligence, a network-native AI solution designed to tackle the increasing complexity of modern telecommunications and enterprise networks. Developed in collaboration with IBM Research, this innovative platform enables organizations to transform every phase of network operations while building trustworthy AI.
IBM Network Intelligence integrates advanced time-series foundation models with LLM-powered reasoning agents to deliver a network-aware AI collaborator. The solution addresses the significant challenges faced by network teams, who often spend substantial time managing complex issues manually. By automating pattern recognition and goal-oriented actions, IBM Network Intelligence allows teams to focus on higher-value tasks and strategic network management.
Cross-Domain Network Data: Overcoming Fragmentation
IBM recognizes that network data is inherently complex, fragmented across multiple domains, vendors, and formats. Traditional tools cannot capture these connections effectively, leaving network teams to manually reconcile siloed data. IBM Network Intelligence eliminates these barriers by providing a unified platform capable of analyzing real-time behaviors and cross-domain relationships, enhancing operational efficiency and insight.
Trusted AI Through Dual Intelligence Architecture
IBM Network Intelligence combines analytical AI, powered by IBM Granite Time Series Foundation Models, with reasoning AI to create a dual-intelligence approach. Analytical AI consumes vast amounts of network telemetry, alarms, and flow data to identify hidden issues and provide early warning of potential degradations. Reasoning AI, leveraging IBM watsonx technologies, offers contextual understanding, guides troubleshooting, and generates actionable remediation plans while maintaining human-in-the-loop oversight.
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“Analytical Intelligence: Analytical AI for Network Telemetry and Data Intelligence”
The analytical AI component enables deep contextual understanding of network behavior, delivering high-confidence insights and improving the signal-to-noise ratio across network operations.
“Reasoning Intelligence: Generative AI for Contextual Reasoning and Automation”
Reasoning AI adds a layer of agentic capabilities, allowing iterative anomaly detection, automated root cause analysis, and continuous issue resolution. These capabilities reduce manual multi-team processes, delivering actionable intelligence efficiently.
IBM Network Intelligence supports a gradual transition toward autonomous network operations, allowing organizations to build trust with AI tools while maintaining operational control. This human-AI partnership model aims to enable continuous network evolution, improved resilience, and scalable operations.