
At this week’s Splunk .conf25 event in Boston, Cisco unveiled a new data architecture that’s powered by the Splunk platform and designed to help enterprises glean AI-driven insights from machine-generated telemetry, such as metrics, events, logs and traces. The new Cisco Data Fabric integrates business and machine data for AI processing, and the Machine Data Lake delivers a virtual repository for federated data sources.
The Cisco Data Fabric is a framework designed to unify and integrate data from multiple sources, such as the cloud, on-premises, or across different platforms like Snowflake or Splunk Indexes, among other sources. Built using Splunk Enterprise and Splunk Cloud Platform capabilities, the data fabric can apply AI and machine learning to data for deeper insights, and it federates and connects disparate data silos to create a single view for analytics and AI applications.
“This is really the notion of weaving data together wherever it is, leading AI into it, and delivering a turnkey solution that allows customers to leverage this machine data in a way they already have been with Splunk, which is what Splunk does, but also with this new class of AI,” says Kamal Hathi, senior vice president and general manager of the Splunk business unit at Cisco.