~/talk

Applying AI/ML: How to Reduce Effort, Time and Cost

TalkinJapaneseat ObservabilityCON on the Road Tokyo 2025 · on Tuesday, 2025-02-25· [machine-learning, observability]
links:none on file
slides:none on file

Shows how Grafana Cloud’s AI/ML features—Sift, Asserts, and Adaptive Metrics—can reduce operational effort, time, and costs by improving observability workflows. Presents demos and real-world examples of value delivered and outlines next steps for the Adaptive Telemetry cost-management suite.

AI-written summary · about

  1. 0:00AI/ML for efficiency
  2. 2:11Automation impact
  3. 4:00Log noise reduction
  4. 6:13Time series anomalies
  5. 8:26Tracing and profiling
  6. 10:33AI explanations
  7. 13:31Adaptive telemetry
  8. 16:27Adaptive logs savings
  9. 20:28Live demo: Adaptive Logs
  10. 26:38Q&A
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.