May 15, 2021—

Integrating Enterprise Telemetry and AI/ML to Deliver Real-World Data Center Automation Video – ONUG Spring 2021

In an increasingly complex enterprise environment with multiple fragmented sources of telemetry, AI/ML has the potential to enable a highly automated, secure, self-healing data center that requires little human intervention, is highly efficient and always available.  For this vision to be remotely possible we have to have access to a credible source of truth when it comes to telemetry—a full view (not fragmented or sampled) of all telemetry – North/South and East/West in the Data Center.

By: Christopher Ratcliffe


In an increasingly complex enterprise environment with multiple fragmented sources of telemetry, AI/ML has the potential to enable a highly automated, secure, self-healing data center that requires little human intervention, is highly efficient and always available.  For this vision to be remotely possible we have to have access to a credible source of truth when it comes to telemetry—a full view (not fragmented or sampled) of all telemetry – North/South and East/West in the Data Center.

In this keynote from ONUG Spring 2021, Pensando’s Scott Stevens discusses how enterprises can establish an enterprise “Source of Truth” that has the capability to integrate with existing AI/ML platforms to automate everything from XDR, ADM, DDOS Mitigation to SIEM and compliance today, and offers the potential for much more in the future.

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