• HN812: Nokia EDA: AI Ops You Can Trust (Sponsored) Podcast:Download(95.1MB) |Embed EthanBanks DrewConry-Murray AI is everywhere in networking right now, but most of it feels like hype. • In this sponsored episode, we go deeper than buzzwords with Steven Butler from Nokia to explore what it takes to make AIOpsreal, reliable, and trustworthy in production environments. • If you want AI to deliver value, you need the fundamentals first: strong data models, meaningful abstractions, deterministic workflows, and validation guardrails. • We discuss how Nokia Event-Driven Automation (EDA) is designed to support reliable AI Ops, including: Why multi-vendorabstractions matter for scalable automation How combining configuration+operationalstate enables meaningful health modeling The role of schemasandwell-defineddatamodels in giving AI the right context Why LLMshallucinate,andwhyguardrailsareessential How EDA’sdigitaltwinenables pre-production testing The future of CI/CDpipelinesfornetworkvalidation What extensibility means for customers who want to build their own workflows and abstractions This is a grounded, engineer-to-engineer conversation about moving beyond flashy demos and toward AI-powered network operations you can trust. • If you’re a network engineer, architect, or leader trying to make sense of AI in infrastructure, this episode will give you the mental model you’ve been missing. • Episode Links: Nokia Event Driven Automation EQL Video Byte - Query Your Whole Network with Nokia EDA Query Language (EQL) Heavy Networking 806: Let’s Get NUTS!

Article Summaries:

  • AI is everywhere in networking right now, but most of it feels like hype. In this sponsored episode, we go deeper than buzzwords with Steven Butler from Nokia to explore what it takes to make AI Ops real, reliable, and trustworthy in production environments. If you want AI to deliver value, you need the fundamentals first: strong data models, meaningful abstractions, deterministic workflows, and validation guardrails. We discuss how Nokia Event-Driven Automation (EDA) is designed to support reliable AI Ops, including: - Why multi-vendor abstractions matter for scalable automation - How combini

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