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Aviz Networks outlines role of AI co-pilots in network operations

Source Decision Insights Coverage Published January 7, 2026 Companies 1
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316th article in the last 90 days, one of 392 articles referencing Aviz Networks. Previous coverage: NVIDIA outlines networking needs for AI-scale workloads (Jan 2026).

Companies mentioned

Best suited for

Seniority
Staff
Job function
Network / Network Engineer
Persona
Network Engineer
Buyer role
Practitioner / End User / Operator
Decision stage
How to start
Adoption curve
Early Adopters
Industry
Information Technology / Software & Services / IT Services / Cloud Services

Our classification, not the publisher's statement. Best suited for, not only for.

Aviz Networks' podcast episode presents CTO Chid Perumal's case for Artificial Intelligence (AI) co-pilots in network operations, arguing AI is required to manage fragmented telemetry and reduce context switching, which matters for enterprise NetOps scalability and accuracy.

Research Overview

The podcast features an interview with Aviz Networks CTO Chid Perumal, who draws on two decades of cloud and enterprise networking experience to describe current operational challenges.

Perumal attributes difficulty in troubleshooting to fragmented tools, disparate signals, and growing telemetry volumes that obscure root causes.

Key Findings

The conversation identifies frequent context switching, inconsistent interpretation of the same signals across teams, and high alert noise as core operational problems.

It also states that AI can synthesize telemetry, perform compliance checks, summarize anomalies, correlate alerts, and that vendor-agnostic models and flexible architectures support privacy, cost, and performance choices.

Technical Breakdown

An effective AI co-pilot requires end-to-end network visibility, the ability to correlate logs and metrics, and mechanisms to explain reasoning to engineers.

Perumal emphasizes model flexibility and clean, scalable data pipelines as prerequisites for deploying AI capabilities without introducing new silos.

Operational Impact

AI co-pilots are presented as tools to reduce noise, shorten diagnostic time, and support decision making while keeping engineers in control.

The episode links those capabilities to improved accuracy and reduced burnout by lowering manual context switching and repetitive tasks.

Leadership Perspective

Perumal frames AI as an augmentation layer rather than a replacement for engineers and recommends starting with tasks such as alert correlation and anomaly summarization.

He argues for vendor-neutral approaches to avoid creating proprietary operational silos when adopting AI for NetOps.

The episode recommends applying AI to synthesize telemetry, preserve human oversight, and simplify cross-team understanding; this Blog Signals brief is a fact-based summary of the vendor blog.

Blog post, originally published by Aviz Networks at Aviz Networks.

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