IBM Launches Network-Native AI for Telecommunications and Enterprises
IBM has unveiled IBM Network Intelligence, a groundbreaking network-native AI solution designed to address the increasing complexity of modern telecommunications and enterprise networks. Developed in collaboration with IBM Research, the solution empowers organizations to transform every stage of network operations while ensuring trustworthy AI adoption.
Tackling Network Complexity with AI Collaboration
Modern networks are growing more complex, with fragmentation across multiple domains, vendors, and formats creating data silos that hinder real-time analysis. Network teams are often forced to manually stitch insights together, a process that is time-consuming, error-prone, and resource intensive.
IBM Network Intelligence introduces a dual intelligence approach that combines:
- Analytical AI: Handles scale, pattern recognition, and telemetry data analysis.
- Reasoning AI: Uses LLM-powered agents to hypothesize issues, identify root causes, and deliver high-confidence insights.
This human-AI collaboration model allows AI to manage scale and automation, while human experts provide context, judgment, and trust-building for actionable outcomes.
Analytical Intelligence with IBM Granite Time Series Foundation Models
At the core of IBM Network Intelligence lies IBM Granite Time Series Foundation Models, part of the trusted and open IBM Granite family. Unlike traditional ML or generic large language models, these purpose-built AI models are pre-trained on high-volume telemetry, alarms, and flow data across diverse networking environments.
Key benefits include:
- Early-warning signals for network degradation without fixed thresholds.
- Improved signal-to-noise ratio, helping teams detect hidden issues.
- Customizable pipelines for diverse networking data, vendor environments, and operational procedures.
This enables real-time service assurance, low-latency performance, and zero-downtime expectations, essential for scaling network operations.
Toward Autonomous and Resilient Networks
IBM’s approach represents a paradigm shift in network operations. By combining analytical intelligence and reasoning AI, organizations can move beyond isolated automation efforts and toward continuous, adaptive network evolution.
The solution enables:
- Resilient operations with reduced downtime.
- Seamless scalability without tool bloat.
- A virtuous cycle of automation and improvement through human-AI collaboration.
Immediate Value for Organizations
IBM Network Intelligence is designed to provide organizations with immediate value through its pre-trained models. Businesses can integrate the solution into existing operations to optimize performance, enhance fraud detection, and eliminate inefficiencies from siloed data systems.
With this launch, IBM reinforces its leadership in AI-driven digital transformation, providing enterprises and telecom operators with the tools needed to manage increasingly complex network infrastructures.
