Accelerate your journey to an autonomous network lifecycle
Why IBM Network Intelligence?
Accelerate your shift to autonomy. Network Intelligence is designed to cut costs, boost scale and deliver real-time insights with agentic AI across multivendor and multidomain environments.
Introducing IBM Network Intelligence. Combining analytical and reasoning AI into a dual-intelligence system, IBM Network Intelligence collaborates alongside you to transform daily operations. Integrated into your existing ecosystem, it understands data across silos and domains, generates iterative hypotheses for root causes, and drives — or recommends— fixes. It’s not just AI – it’s your transformative teammate.
Intelligent architecture for today’s networks
Intelligent capabilities aren’t theoretical—they're built in, available from day one and evolve with your network. With explainable AI, adaptive automation and a future-ready design, IBM Network Intelligence is engineered to scale with complexity while reducing risk, effort and cost.
- Provides scalable streaming pipeline for time-series data
- Provides scalable ingestion of historical data
- Supports ingestion of metrics, events, and logs
- Domain-trained time series foundation models
- Ultra-low latency inferencing using time-series foundation models
- Early warning insights and outlier detection based on telemetry data
- Accelerate triage and automate decision-making with prioritized root cause hypotheses
- Ingest grounding documents like MOPs (methods of procedures), configuration guides and knowledge base content to provide contextual information for analysis
- Agentic AI creates multiple hypotheses to identify the problem and root causes
- Agentic AI creates a remediation plan that can be executed with humans-in-the-loop or autonomously
- Function calling enables seamless tool and API integration
- Provides scalable streaming pipeline for time-series data
- Provides scalable ingestion of historical data
- Supports ingestion of metrics, events, and logs
- Domain-trained time series foundation models
- Ultra-low latency inferencing using time-series foundation models
- Early warning insights and outlier detection based on telemetry data
- Accelerate triage and automate decision-making with prioritized root cause hypotheses
- Ingest grounding documents like MOPs (methods of procedures), configuration guides and knowledge base content to provide contextual information for analysis
- Agentic AI creates multiple hypotheses to identify the problem and root causes
- Agentic AI creates a remediation plan that can be executed with humans-in-the-loop or autonomously
- Function calling enables seamless tool and API integration
Filter noise with semantic understanding allowing only actionable, high-confidence insights to make it through.
Experience fewer repeat incidents, resolve issues faster through efficient root cause analysis and reduce overall operational drag.
Trust is engineered into every interaction through built-in prompt guardrails and AI scaffolding which maintain focus on network outcomes.
Go beyond rule-based actions. Our AI agents detect anomalies, generate remediation plans and probable root causes.
Catch what instrumentation misses, including silent degradations or missed signals—before they impact users.
Grow your network, not your headcount. Meet performance demands with intelligent automation and agent-driven workflows.