Machine Data: The Next Frontier In AI
Cisco, Monday, September 8th, 2025
This week I'm thrilled to be kicking off the Splunk .conf25 user conference in Boston. This is the second opportunity for me to join a Splunk community that is so passionate about what they do to keep their IT environments and applications up, secure, and performing at a high level.
It doesn't take you long to realize that Splunk customers really love Splunk, and I am honored to help lead this organization in a moment where our customers need us.
As I wrote way back at the beginning of the summer, we're firmly in the era of agentic AI. It's truly exciting, but to keep the pace of adoption and innovation cooking we have to tackle some major obstacles.
AI places unprecedented demand on infrastructure. It's hungry for power, compute, and network bandwidth. It presents a whole new set of security threats, creating a trust deficit for users and enterprises alike. And increasingly, there's an emerging data gap, where we're struggling to apply AI to all the different data types and sources in our organizations.