In this series, we introduce the concept of AI-driven closed-loop automation and typical use cases where closed-loop automation systems can be applied, like network traffic flow optimization. We explore the components of a closed-loop automation system and show how it can help teams automatically correct issues like network anomalies within the provisioned network infrastructure. And, finally, we describe in detail the components of IBM Cloud Pak for Watson AIOps and the role they play in building a closed-loop automation system.
In this article, we introduce closed-loop automation and the problems it helps solve. We also look at several use cases for closed-loop automation in areas such as intelligent RAN, Kubernetes, and security. We also investigate some of the major benefits and challenges of closed-loop automation.
Learn how using AI-driven automation can help teams automatically correct issues like network anomalies within the provisioned network infrastructure.
Learn how to use Cloud Pak for Watson AIOps to analyze data from across your runtime ecosystem, consuming metric, log, event, and topology data to correlate, predict, and address network issues before they impact the performance of your environment.