Incident management · Production
PagerDuty Operations Cloud supports TUI's service quality and business growth via AIOps
The problem
Large enterprises need to understand how AI and ML can improve DevOps and event and incident management, and determine where to apply them for greatest effect.
Workflow diagram · grounded in source
1
AI/ML applied to DevOps and incident management
ai_action
“AI/ML in large enterprises have an impact on DevOps and event and incident management”
2
Operations Cloud delivers quality outcomes
output
“The PagerDuty Operations Cloud is critical for TUI. This is what is actually going to help us grow as a business when it comes to making sure that we provide quality services for our customers.”
Reported outcome
TUI's Head of Technology describes the PagerDuty Operations Cloud as critical to the company's ability to grow and provide quality services to customers.
Reported metrics
Business growth supporthelp us grow as a business
Customer service qualityprovide quality services for our customers
Reported stack
PagerDuty Operations Cloud
Frequently asked questions
What did this team achieve with this AI workflow?
TUI's Head of Technology describes the PagerDuty Operations Cloud as critical to the company's ability to grow and provide quality services to customers.
What tools did this team use?
PagerDuty Operations Cloud.
What results were reported?
Business growth support: help us grow as a business; Customer service quality: provide quality services for our customers (source-reported, not independently verified).
How is this incident management AI workflow structured?
AI/ML applied to DevOps and incident management → Operations Cloud delivers quality outcomes.