Service Mapping ML Intelligence Fails with "Training Request Timeout"<!-- /*NS Branding Styles*/ --> .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: #000000; } span { font-size: 12pt; font-family: Lato; color: #000000; } h2 { font-size: 24pt; font-family: Lato; color: black; } h3 { font-size: 18pt; font-family: Lato; color: black; } h4 { font-size: 14pt; font-family: Lato; color: black; } a { font-size: 12pt; font-family: Lato; color: #00718F; } a:hover { font-size: 12pt; color: #024F69; } a:target { font-size: 12pt; color: #032D42; } a:visited { font-size: 12pt; color: #00718f; } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: block; max-width: ; width: auto; height: auto; } } Question: Why does the Service Mapping ML Intelligence job fail with the error “training request timeout”? Answer: This error occurs when the Service Mapping ML Intelligence engine times out while trying to generate application/service mapping suggestions. The issue is not related to Discovery or pattern execution directly but to the ML training pipeline not completing in time. Troubleshooting Steps: Confirm the ML Intelligence for Service Mapping plugin is installed and active. Review System Properties for ML Intelligence: sn_ml.service_mapping.enabled should be set to true. Check System Logs for the message training request timeou.e. Validate that the Application Suggestion job runs without errors in Step 5 of KB963421. If Step 5 isn’t configured, Step 6 will fail.