Extreme Networks’ big bet on agentic AI Ops is paying off – and there’s much more to come
Extreme Networks says its new agentic AI platform has already saved customers more than a thousand troubleshooting work hours during its first month.
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TECH WATCH: Wireless convergence across Wi-Fi, 5G, and satellite – with SPARRO
Jason Wickam and SPARRO are finally delivering what industrial enterprises want: A seamless Wi-Fi, 5G, and satellite connectivity service.
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TECH WATCH: Seeing Wi-Fi through your user’s eyes is the only way to drive up Wi-Fi quality – says Anil Gupta of Wyebot
Meet Wyebot Founder & CEO Anil Gupta for a deep dive into enterprise Wi-Fi optimisation on this week’s Tech Watch.
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Inventor of AI Ops for enterprise Bob Friday explains why agentic AI will finally make self-driving enterprise networks a reality
HPE Chief AI Officer Bob Friday believes enterprise networking is approaching a historic turning point, as AI systems progress from merely identifying network problems to reasoning, troubleshooting, and resolving them on their own. The next breakthrough – he says – will be trusted autonomous operations powered by agentic AI.
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AI Ops for Wi-Fi Part Three: From detection to action & validation in enterprise Wi‑Fi
Collecting network data is only the beginning. The real value of AI Operations emerges when platforms can identify problems, determine their likely causes, recommend corrective action, and – in carefully controlled cases – resolve issues automatically.
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AI Ops for Wi-Fi Part Two: The data foundation for intelligent enterprise Wi‑Fi
AI can only improve enterprise Wi‑Fi operations if it understands what is happening across the network. That requires far more than collecting access point statistics. Effective AI Ops depends on a continuous, contextualised stream of data spanning infrastructure, clients, applications, and the wider wired network.
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AI Ops for Enterprise Wi-Fi Part One: What Is AI Ops and Why Does It Matter?
Enterprise Wi-Fi networks have become extraordinarily good at generating data. Access points, controllers, switches, clients, applications, authentication systems, and cloud management platforms continuously produce telemetry describing almost every aspect of network behaviour. The challenge is no longer collecting the data. The challenge is working out what it means – and turning it into action.
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