Your competitive edge isn't the model; it's the data that only you have. Sonal Pardeshi, Head of AI Product at Splunk, explains why teams building on general-purpose models keep arriving at the same generic outcomes, and what changes when agents are grounded in your own machine data and your own governance. AI Toolkit and Agent Launchpad let teams build and run agents against your grounded data. When this happens, responders stop pivoting between systems to assemble context; the people closest to the problem can build automation without being developers, and every agent inherits consistent governance instead of accumulating one-off scripts. This is episode one of Accelerate AI Outcomes, a series on what Cisco Data Fabric, powered by the Splunk Platform, makes it possible with machine data. In this episode: 00:00 Introduction 00:30 Why the model isn't the differentiator 01:14 A new AI strategy 02:38 Demo – building AI agents on your data 05:10 Driving key outcomes Full series: https://www.youtube.com/playlist?list=PLfBJGtuzJVP8 Cisco Data Fabric, Now Generally Available: https://www.splunk.com/en_us/blog/platform/splunk-platform-innovations-cisco-data-fabric-generally-available.html #Splunk #AgenticAI #CiscoDataFabric

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