Operations | Monitoring | ITSM | DevOps | Cloud

LLMs have sucked all the oxygen out of the AI conversation — but AI is much more than just LLMs, and network engineers have been using AI techniques (machine learning, statistics, fuzzy logic, expert systems, neural networks) for decades. So what should LLMs be doing in network operations, what shouldn't they be doing, and how do agentic AI architectures fit in?

Why do network and infrastructure teams at leading enterprises including Canva, Dropbox, Google ConocoPhillips, and ServiceNow choose Kentik? In their own words, customers describe epic cost savings, dramatic return on investment, and blockbuster efficiency improvements that only Kentik can deliver. Learn why Kentik is the must-see network intelligence solution any enterprise that depends on reliable connectivity.

What happens when you replace legacy network tools with Kentik AI Advisor?

"We pay less in transit IP costs today than we did when we turned up Kentik. Our cost per Mbps is lowered over the years — and our traffic is seven times what it was when we started." — Michael Leclaire, MetroNet.

Everett Sinclair, Network Administrator at Conway Corporation, explains why Kentik became their “one pane of glass” for cloud-based network visibility, rapid troubleshooting, and smarter peering and caching decisions. With Kentik’s SaaS network intelligence platform, Conway gets updates automatically, avoids server rebuilds, and can deploy cloud agents remotely to run simple metric tests close to customer locations.

Imperva Network Architect, Wallace Lee, shares how Kentik helps teams drill deeper than traditional reporting tools to improve network and customer experience. Wallace shares how, during a live architecture review, Imperva’s Kentik power users answered a critical “are we safe?” traffic question in seconds. Kentik enables engineers to instantly understand prefix-level bandwidth and shows exactly which ASN and ISP traffic came from. Wallace also highlights how Kentik makes Anycast traffic visibility an “easy win,” helping teams move from questions to confident decision-making fast.

Sorin Esanu, Director of Network Engineering at Race Communications, explains why deep, always-on network intelligence is essential when you have massive volumes of traffic moving in and out from many sources. After outgrowing an on-prem tool that required ongoing maintenance and didn’t deliver the analytics they needed, Race chose Kentik for richer visibility, daily traffic optimization, and improved security.

AI is changing network operations (NetOps) from static automation into adaptive, data-driven systems that can summarize incidents, retrieve knowledge, and guide remediation with human oversight. In this talk, Phil Gervasi breaks down what “AI for NetOps” really means in practice, including the difference between classical ML and large language models (LLMs), why data pipelines matter more than model tuning, and how patterns like RAG (retrieval augmented generation), text-to-SQL, and agentic workflows turn raw telemetry into decisions.

Five customers explain why Kentik is essential for understanding traffic, controlling network cost, and planning for growth. Hear from Sorin Esanu (Race Communications), Michael Leclaire (MetroNet), John Lubeck (Midco), Wallace Lee (Imperva), and Everett Sinclair (Conway Corporation) on how they use Kentik to see “the bits on the wire,” dig deeper than traditional reporting tools, and turn network data into better customer experiences.

Three service provider customers share how Kentik AI Advisor helps them move faster, troubleshoot smarter, and put network data in more hands across the team. Hear from Everett Sinclair (Conway Corporation), Michael Leclaire (MetroNet), and John Lubeck (Midco) on why they chose Kentik to unify flow analytics, baselining, and anomaly detection in one platform, and how Kentik AI features make it easier to explore, explain, and act on what’s happening in their networks.