With the move to microservices, DevOps practices, and now AI-assisted programming, teams are moving faster than ever. Organizations today are looking for a way to get data quickly and make sense of it to drive to the next best action. One way to do this is by gathering relevant data from leading cloud providers such as AWS and leveraging AI and machine learning to turn that data into actionable insights. Only then can teams drive to faster resolution and learn from it to set up automation that can deflect unnecessary noise for fewer incidents.
In this webinar, you’ll learn:
– How PagerDuty and AWS partner to deliver relevant insight in the incident response lifecycle in real-time
– How to reduce noise across an organization’s entire technical ecosystem using AI
– How to use AI and ML for more efficient triage to drive to resolutionLearn from PagerDuty Senior Product Manager Julia Nasser how PagerDuty and AWS partner to deliver relevant insight in the incident response lifecycle in real-time by leveraging AI and ML for noise reduction and better triage.
