IBM has introduced an innovative cloud-based AI service designed to assist organizations in effectively managing complex, multivendor networks. As enterprises increasingly operate in fragmented environments, combining on-premises data centers with various public clouds and SaaS applications, IBM’s Network Intelligence aims to unify these elements under a singular intelligent framework.
The service employs AI agents that facilitate reasoning, assist in root-cause analysis, and recommend remediation strategies. By leveraging pre-trained AI models, Network Intelligence can analyze network design, telemetry, alarms, and time-series data to uncover hidden issues and early signs of degradation. This capability allows for insightful interpretation of data, identification of potential causes, and provision of decision-support suggestions.
IBM highlights that the AI components are developed using its watsonx technologies, supported by the IBM Granite Time Series Foundation Models. These models are distinct as they are specifically tailored for networking and pre-trained on vast amounts of telemetry and alarm data from diverse environments. This level of customization offers a deeper understanding of network behavior compared to traditional statistical methods, aiming to enhance accuracy in network observations while minimizing the chances of missing subtle issues.
As organizational reliance on networks grows, so does the demand for proactive management that prevents downtime and performance lags. IBM emphasises the necessity for network-native AI, which is crucial not only for maintaining resilience but also for achieving continuous optimization and delivering uninterrupted digital experiences.
The Network Intelligence service is characterized by its capability to provide:
- Improved network observations, reducing false positives which can lead to alert fatigue and enhancing team efficiency.
- Automation of analyses for cross-domain network issues that might be overlooked due to operational silos.
- Recognition of rare issues that often escape the scope of existing threshold-based monitoring tools.
IBM offers this service with various subscription models to accommodate different organizational requirements and includes a freemium tier for clients wishing to explore its capabilities within limited operational contexts.
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