#ICE AI TRAFFIC V6.00 MANUAL#
#ICE AI TRAFFIC V6.00 PATCH#

#ICE AI TRAFFIC V6.00 PATCH#

Support for REST API PATCH verb for fetching / releasing tickets from / to third party systems.Flexibility to configure organization-wise Google Search APIs for Script Analysis, for multi-tenant scenarios.Option to configure new rules based on CI type from CMDB.Support for pushing detailed work notes while releasing the tickets, for updates New User defined function introduced in Manage Rules screen for Release Configuration.Support for custom Google Search APIs for Knowledge Analysis and Aggregation for more accurate and refined search.Optimization of Ticket Clustering service to reduce the processing time by up to 40%.Support for multi-core processing to further improve the performance of recommendation services.Flexibility to specify the execution time for all the jobs, scheduled to run daily.Introduced module-wise progress indicator to track the overall status of the analysis.Script Analysis and Knowledge Analysis have been made optional.

#ICE AI TRAFFIC V6.00 MANUAL#

Support for manual / auto refresh for both Actionable Tickets and Ticket Logs panes.Enhancement in Remedyforce adapter to support In-Progress and Ticket Closure configurations and updates via iAutomate.Integration with BMC Atrium Orchestrator.New Help screen to provide internal component details (version-wise) and supporting product documentation.Flexibility to create Python / PowerShell scripts either manually or via JSON format.Support for creation of custom web API using Python / PowerShell for enabling complex third-party system integrations.New job “ HangJobReporting ” has been introduced to continuously monitor and notify about any hung / stuck jobs.Support for proactive mail-based notifications hung / stuck jobs, enabling faster troubleshooting and resolution.Ability to drill-through to see th e detailed report with ticket categorizations, recommended runbooks and success rates.A Mechanism to track the model performance for different published versions, month on month.Continuous performance evaluation of the deployed recommendation model based on ticket data, on monthly basis.Following are the newly launched features and functionalities as part of DRYiCE iAutomate v6.1:

Ice ai traffic v6.00