BrandPost: How AI and ML Strengthen Networks
The explosion of interest in AI in 2023 has been primarily driven by the widespread availability of Generative AI, but Network Artificial Intelligence (AI) and Machine Learning (ML) have been at work for far longer. In this article, we're highlighting three interesting use cases to build a clearer picture of what’s happening now and where we’re going.1. AI Enhancing Network End-User ExperienceAI is being utilized to help NetOps teams manage the network end-user experience. This involves using AI and ML for efficient data collection, processing, and selection to rapidly identify and expose the most relevant information. AIOps allows network operators to correlate events across the tool stack and other data sources within your network, identify root causes and recurring issues across different environments, and assign collaboration projects for the appropriate operators and teams.To read this article in full, please click here