Criterion #4: Operational efficiency and AI-assisted workflows
ITOps teams aren’t short on data — they’re short on time.
As environments grow more complex, so does the effort required to investigate, triage, and resolve issues. Too often, teams are stuck in repetitive workflows: chasing alerts, switching tools, and manually piecing together context.
A modern data architecture should reduce that burden — using AI and automation to streamline workflows, guide investigations, and help teams focus on what actually matters.
Reduce manual investigationHow much time is spent gathering context before action begins?
Cut through alert noiseHow many alerts actually require action?
Enable automationWhich repetitive workflows could be automated today?
We’re very excited by Cisco’s roadmap for generative AI that can proactively identify the root cause of issues. The ability to resolve problems fast without the need for manual intervention is another important step on our journey to provide the best possible passenger experience.
