IBM is unveiling IBM Network Intelligence, a network-native AI solution that addresses the escalating complexity of modern telecommunications and enterprise networks. Developed in collaboration with IBM Research, the solution is essential for organizations that want to transform every phase of network operations and build trustworthy AI.
IBM Network Intelligence pairs advanced time-series foundation models with LLM-powered reasoning agents to create a network-aware AI collaborator. We believe this approach is critical to addressing the complexity of modern networks where network teams struggle to manage through tools and manual processes these complex issues represent only a subset of total issues, however, and consume the vast majority of a network team's effort. It is in both the time and resources spent reacting to, understanding, and resolving critical issues where there is untapped value. This reactivity can be a major barrier to accomplishing scalable automation.
Cross-Domain Network Data: A Context CrisisThe core challenge is that network data, ever growing and flowing, is fundamentally defined by relationships and connections scattered across an organization. Beyond just volume, fragmentation across expansive network domains, vendors, and formats creates isolated data system silos that obscure critical insights. But today's tools can't capture or analyze these connections effectively and lack the ability to understand real-time behaviors and cross-domain relationships.
