One of the most practical applications of Artificial Intelligence (AI) is to assist in network observability. The big move to Zero Trust is predicated on the ability to have a thorough understanding of network assets.

This is a significant issue for federal information technology. We have legacy systems, shadow IT, and a deluge of data in addition to the confusion that a hybrid network can bring.

Riverbed takes a phrase from science, telemetry. Initially, it was used to troubleshoot the original network: the power grid. Since then, the term has been modified to apply to a standard data collection system for analyzing information on a digital network.

The fact that 98% of the Fortune 100 uses Riverbed for determining network status means that they are the de facto leaders in the market.

Today, we sat down with Jeff Waters to help us understand how Riverbed can be applied to federal systems. You would expect Jeff to emphasize network management, however, he shows how the basic “telemetry” approach can be used for improving user experience.

The approach is simple:  if a technology can look at movement on a network, it can be applied to understanding how federal sites are used by citizens.

We move from DevOps to Artificial Intelligence Ops, or AI Ops at the end of the interview. This concept allows Riverbed to be able to understand a situation and offer remediation. Because the network is so well understood, the solution is effectuated quickly.

Telemetry – from old-school electrical troubleshooting to helping with user experience on a federal website.

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