Modern IT teams are overwhelmed by alert noise, fragmented tools, and constant pressure to resolve incidents faster. In this session, you’ll see how Jira Service Management, integrated with Rovo and third-party observability partners like New Relic and Dynatrace, streamlines incident response by auto-enriching incidents with telemetry, AI recommendations, and Teamwork Graph context—so teams can investigate and resolve issues without tool-switching. We’ll also highlight 24 Hour Fitness’ IT operations story and how they use Jira Service Management to cut alert noise, speed up resolution, and improve post-incident learning. Join this session to learn concrete best practices for accelerating incident resolution through AIOps and integrated, third-party observability data. 

Key takeaways:

• Practical ways to cut alert noise, correlate related issues, and accelerate triage with AI-guided investigation and reduced tool-switching.
• How to auto-enrich incidents with real-time telemetry, AI-driven recommendations, and Teamwork Graph context directly in Jira Service Management.
• How 24 Hour Fitness is using Jira Service Management and Atlassian’s observability partnership with Dynatrace to accelerate root cause analysis and strengthen post-incident reviews.