Verizon Outlines Strategy for Autonomous Network Systems
The carrier aims to replace aggregate metrics with customer-centric, real-time telemetry to proactively resolve network issues.
Updated on Oct. 21, 2026 in Telecommunications
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Verizon has outlined a strategy to transition to autonomous network operations, aiming to move beyond broad aggregate metrics toward customer-centric monitoring. The approach, detailed at the Ericsson OSS/BSS Summit, focuses on real-time telemetry and automated response loops.
Why it matters
Current network management often misses individual performance issues that aggregate data fails to capture. By connecting network telemetry to customer-facing systems, operators can proactively resolve issues for users who would otherwise go unnoticed.
The framework proposes a structure with 3 nested control loops—reflexive, network operations, and customer-centric—to process real-time telemetry. These layers aim to overcome high latency in data movement to enable automated network actions.
The players
Verizon
A major telecommunications provider focused on integrating autonomous network operations to improve service reliability.
Praveen Atreya
The Vice President of Network Systems at Verizon who is leading efforts to modernize network data governance.
Ericsson
A global infrastructure supplier that hosted the OSS/BSS Summit to discuss network operation systems.
The details
The strategy proposes a three-stage path toward autonomy: closed-loop automation, AI-assisted recommendations, and systems that can perform actions and notify users. This process relies on clean, real-time telemetry—the collection of measurements from remote sources—to identify and mitigate silent network failures. By employing nested control loops, operators can isolate individual user experiences within the broader network, enabling the system to act within predefined guardrails.
Timeline
October 20, 2026: Praveen Atreya presented the autonomous network strategy at the Ericsson OSS/BSS Summit.
The Tech Race
This strategy reflects an industry-wide push to transition from static network management to cognitive autonomy. Operators are currently competing to define the governance standards required for AI to sense and act on network conditions in real time.
Users currently experiencing silent network issues may see fewer service drops as systems begin to self-correct in real time. The transition depends on network operators successfully implementing these telemetry-driven control loops across their infrastructure.
The takeaway
The move toward cognitive autonomy will likely change how operators manage infrastructure to prioritize individual service quality. Watch for future benchmarks regarding latency reduction in these automated loops to confirm the efficiency of these proposed architectures.
Further reading
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