Powering the Network AI Ecosystem with Super-Netflow

NetFlow (also known as IPFIX) has been the de facto standard for over 25 years for extracting information from the network on flow endpoints, volumes, and timestamps. A multi-billion ecosystem of analytics tools take NetFlow as a source of network data, for uses ranging from network troubleshooting and performance optimization to service assurance and security analytics.

Canopus is offering Super-NetFlow, an extension that enriches NetFlow with application-level information identifying the type & provider of each traffic flow, as well as its real-time quality-of-experience (QoE) measures. This white-paper explains how Super-NetFlow will fuel predictive and generative AI applications in areas such as automated operations, customer support, and personalised marketing, enabling network operators maintain and enhance profitability in the decade to come.

Download the White-Paper

Vijay Sivaraman

Vijay, Co-Founder and CEO of Canopus, is a distinguished professor at UNSW, a leader in software-defined networking, holding four patents and over 100+ research articles, and has worked at Lucent Bell-Labs. B.Tech from IIT Delhi, PhD from UCLA

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