Research from STL Partners on the data foundations behind agentic network operations
Autonomous networks need AI agents that can be trusted to act on live events. Based on interviews with 11 senior leaders across operators and their vendors, this STL Partners report, supported by Ocient® and Volt Active Data, explains why agents need data that is complete enough to catch a real anomaly and fast enough to still be valid when a decision is made.
Inside the paper
- The cross-domain data challenge: How data products make trusted data discoverable to people and agents alike.
- The cost of sampling: Why averaged and sampled data hides the signals agents need.
- Matching architecture to latency: When to process centrally, locally or both.
- Agents in the RAN: A worked example of an agent supervising automation on a degrading cell.
