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Networks don’t “run themselves” by magic, they do it by stacking the right data, platforms, and automation logic until the network can sense trouble, reason about options, and act safely. We sit down with Rodrigo from Ericsson to unpack what autonomous networks really mean in practice: self-healing, self-optimizing, and self-configuring capabilities that reduce operational effort for communication service providers while improving quality of service for all of us using mobile networks every day.
From there, we get concrete about how you scale automation beyond isolated point solutions. Rodrigo explains how an open service management and orchestration (SMO) approach, rooted in O-RAN concepts, creates a common platform where multiple automation apps can run side by side. Think R apps for RAN automation, a growing ecosystem, and the governance needed to make AI-driven changes trustworthy. We talk about why trusted, granular, low-latency data matters so much, and why “built for AI” is more than a slogan when you’re operating a live 5G network.
The big news is the move from radio automation into core network automation, introducing C apps and the kinds of high-impact use cases operators care about most: anomaly detection, root cause analysis, proactive fixes, capacity forecasting, and premium experience. We also dig into agentic AI and why it changes the game from automating single tasks to automating entire workflows, with human guardrails, permissions, and runtime knowledge to keep reliability high.
If you care about 5G, RAN automation, core network automation, SMO, O-RAN, or agentic AI for network operations, this conversation is for you. Subscribe, share this with a colleague, and leave a review with the one network workflow you wish could be fully automated.
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