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Kentik on Network Intelligence and AI Infrastructure Pressure, Podcast
By Doug Green “Running a business, running a network, is really about making good decisions. And to make good decisions, you have to base that on good data.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Jezzibell Gillmore, General Manager and Vice President, Service Provider at Kentik, about how AI workloads, rising data volumes and infrastructure complexity are creating new operational challenges for service providers. Gillmore describes Kentik as a network intelligence company that uses NetFlow, SNMP, synthetic testing, streaming telemetry and data enrichment to provide actionable insights for organizations that rely on networks to run their businesses. As networks generate more data than humans can easily interpret, Kentik helps service providers understand what traffic means, where it is coming from, where it is going, and how it affects customers, performance and profitability. The conversation focuses on the growing infrastructure demands associated with AI. Gillmore says the industry is preparing for a significant rise in AI-driven traffic, particularly east-west traffic between servers and data centers. While the full impact has not yet arrived, service providers are already seeing signs of what may be ahead as GPU deployments, data center power demands and high-capacity interconnect requirements continue to grow. Gillmore notes that service providers will face pressure not only from higher traffic volumes, but also from the physical realities of network expansion. Adding capacity is not always as simple as turning up another wavelength. Providers may need to plan new fiber routes, obtain permits, expand conduit capacity and manage the long timelines associated with physical infrastructure. The podcast also explores where service providers are likely to encounter operational blind spots. Gillmore says resiliency is moving from a “good to have” to a mission-critical requirement. At the same time, traditional observability tools were built for an earlier era and may not provide enough visibility into encrypted traffic, hybrid cloud, east-west AI traffic, GPU-to-GPU telemetry and increasingly complex routing environments. For Gillmore, the shift is from passive observability to actionable network intelligence. Traditional tools may show what happened over the last 30 days, but AI-era networks require near real-time insight that can help operators make better decisions immediately. She also points to a growing skills challenge. Many of the engineers who helped build the internet are retiring, while newer engineers may be strong in automation and code but have less deep operational experience. Machine-assisted insight can help bridge that gap by giving teams clearer guidance and better context. For service providers, the message is clear: AI-driven demand will require better visibility, stronger resiliency and more intelligent operations. Gillmore says providers should begin by identifying gaps in their networks and evaluating how network intelligence can improve efficiency, customer experience and business value. Learn more at kentik.com
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