The Actionable Insight is a feature in Integrated AIOps available that helps solving complex infrastructure problems using algorithms. Actionable Insight shows the observation of the data and provide a one-click to the recommended next best action. The Actionable Insights is built on Artificial Intelligence and Machine Learning concepts.

Natural Language Classification, Language Translation, Global Explain-ability, Local Explain-ability and, Discover Entity relationship are the key factors of Actionable Insights. An actionable insight is not the same as a dashboard.

Dashboards visualize the data and allow users to interact with this data to further narrow down manually and as such identify areas of interest. Whereas, each actionable insight provides a decisive answer (read: Recommended action) to a specific area of opportunity and/or issue to be addressed. Generally, different types of data from multiple sources (As mentioned in Metrics table) are correlated to come to an actionable insight.

Each actionable insight essentially provides the following information:

Summary:
It displays information records for the account by category of the insight (e.g., incident tickets).
Top 10 items:
 Top 10 objects displayed as a donut chart. It represents the key areas impacted by this actionable insight.
Recommended Actions:
It provides detailed recommendations to address the observation of the actionable insight based on the available standard operation procedure (SOP) and automation playbooks.
Observation from Data:
The observations were made based on the specified data type(s). This is the further drill down of data which can be considered as evidence and additional details of the underlying data.
Tickets Details:
This section provides the complete list of ticket details, which can be searched and filtered for further analysis and investigation.

The observations of the actionable insights are Month to Date (MTD) data and are updated regularly based on the availability of new data.

Actionable Insights are key in reducing the time for an account squad to identify and address areas of opportunity and/or issues within the customer environment. As such they provide key value to our customers and Kyndryl as a whole. Our aim is to extend the library of actionable insights significantly.

The following tables provides a description for each KPIs/Metrics used within the insight. They are grouped by domain area.

Top 5 Actionable insights

KPI/Metric Name	KPI/Metric Description	Expected outcome by taking recommended actions
Device with the most incident tickets	The insight shows top devices with most incident tickets for a specific month along with the previous month data. It helps to address the server with most occurring issues and provide recommendations on the repeated issues	Incident Reduction and thus improved Incident to Server ratio
Top automation playbook opportunity for resolving incident tickets	Provides and insight on Top automation playbook opportunity for resolving incident tickets and provide recommendations	Improved Automated Corrective Closure
Changes in the next 7-day window with predicted higher risk	Change tickets where AIOPs risk is higher than account team assigned risk in the next 7- day window and provide recommendations	Reduced Failed Changes
Device with most expiring SSL certificates	It especially provides the account insight on when SSL Certificate are going to expire in next 30 days along with recommendations	Avoid potential business impact
Top device with Must Fix deviations	Provides an insight of Top device with Must Fix health check deviations	Reduce Noise in the system and avoid potential business impac