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HN812: Nokia EDA: AI Ops You Can Trust (Sponsored)

Jan 30, 2026
Stephen Butler, product line manager at Nokia for Event-Driven Automation, explains how EDA provides multi-vendor abstractions, schema-driven models, and programmable workflows. He discusses combining LLMs with deterministic tools, digital twin simulation for CI/CD validation, and an extensible app model for safe, testable AIOps.
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INSIGHT

Abstract Once, Manage Many Vendors

  • EDA uses multi-vendor abstractions so users don't need to learn each device OS's syntax.
  • The platform normalizes intent and operational state so automation sees the same model across vendors.
INSIGHT

Pair Intent With Status

  • EDA models resources with a spec (intent) and status (operational state) to combine config and telemetry.
  • That pairing lets the platform detect configuration drift and produce higher-level health scores.
ADVICE

Give AI Structured Context

  • Provide the LLM with the right context and pre-processed resources rather than raw device dumps.
  • Use normalized, combined config-and-state models so AI can reason reliably about health and root cause.
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