ABOUT THIS EPISODE
Kentik CPO Mav Turner joins host Philip Gervasi to cut through the AI hype in NetOps. They discuss where ML and LLMs actually help—anomaly detection, root cause analysis, and agent-driven runbooks—and where deterministic methods still win. Join us for real talk on data pipelines, telemetry quality, model evaluation, human-in-the-loop guardrails, and the build-vs-buy trade-offs that transform network noise into informed decisions.
English
United States
TRANSCRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
OTHER EPISODES IN THIS PODCAST
Doug Madory joins us to unpack the recent Red Sea submarine cable cuts and how Kentik’s Cloud Latency Map revealed the global impact in real-time, offering critical insight into cloud performance, interconnectivity, and internet resilience.
In this episode of Telemetry Now, Phil and guest David Cliffe explore “neocloud”—what it is, why it’s growing fast, and how it’s reshaping AI infrastructure. From GPUs and high-speed interconnects to orchestration layers and energy constraints, we discuss what makes neocloud different from traditio…
AI training isn’t just about GPUs, it’s about the network that ties them together. Host Phil Gervasi sits down with Vijay Vusirikala to unpack why job completion time is the true metric of success, how optical interconnects shape AI data center performance, and why power efficiency and observabilit…
Lauren Basile joins us to show how traffic-aware cost intelligence turns spreadsheet guesswork into one-click, per-slice cost estimates across customers, ASNs, and CDNs. Learn about the SNMP plus contracts foundation, the flow-data leap, and how NetOps teams use cost-per-Mbps and path insights to o…
In this Telemetry News Now episode, Phil Gervasi and Justin Ryburn tackle Intel’s plan to spin off its Network & Edge Group (NEX) and what it means for high‑performance Ethernet NICs, examine Cisco’s new partnership with Hugging Face to scan every open‑source AI model for malware, and break dow…
Disclaimer: The podcast and artwork embedded on this page are from Phil Gervasi, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
EDIT
Thank you for helping to keep the podcast database up to date.
