SAP Business AI Capabilities in Talent Intelligence Hub

The latest enhancements in SAP Business AI, embedded across the SAP portfolio, includes some exciting capabilities build for Talent Intelligence Hub around skill management. These capabilities can be classified into different areas:

• Skill Inferencing. It is the process of running live data through a trained AI model to make a prediction or solve a task. In the context of Talent Intelligence Hub, it can generate Skill recommendations from activities in Continuous Performance Management or whenever a new assignment is created in Opportunity Marketplace.
• Skill Extraction. AI capabilities can be used to extract data from Job Profiles and Job Requisitions and build an AI-based Skills library in Talent Intelligence Hub. Another application is to allow employees to upload a resume in the Growth Portfolio and extract skills from the details that can be added.
• Skill Taxonomy. With the AI-Assisted Standardization, customers can benefit from industry-standard skill names to promote consistency and streamline naming conventions for skill names.

Any of these features can be enabled in the AI Services Administration page, by an administrator.

For customers that have enabled Talent Intelligence Hub and Growth Portfolio, assignment owners or co-owners can get AI-assisted skill recommendations during assignment creation or edit when Assisted Skill Recommendation for Opportunity Marketplace Assignments is enabled. The AI-assisted attribute recommendation only applies to skills. Assignment owners or co-owners need to manually add other types of attributes if needed.

AI-assisted skills standardization provides industry-standard skill names to promote consistency and streamline naming conventions for skill names. By using standard names, you can reduce complexity by removing duplicates and similar skill names.

Administrators can run the TIH Skills Standardization job in Scheduled Job Manager, to generate a list of proposed names for skills. The job reviews all the skills in the Attributes Library and verifies whether a matching name for the skill exists in the SAP SuccessFactors universal Skills Taxonomy.

The step-by-step process would be as follows:

1. The feature is enabled in AI Services Administration→Assisted Skills Standardization
2. Navigate to Scheduled Job Manager→Job Scheduler→Create New Job.
3. Select the job type TIH Skills Standardization.
4. Submit and run. Once the job is completed, select View Details.
5. Select Download Status
6. The job creates an export file with the proposals for the standard name for skills. If the standard name for a skill doesn't exist in the SAP SuccessFactors universal skills taxonomy, the skill is considered as a custom skill. The SkillStandardizationResponse will include two CSV files:
   • SkillStandardizationExport.csv Includes the Proposed Names for Skills in the default language (en_US).
   • SkillTextStandardizationExport.csv. Includes the Proposed Names for Skills in the different locales.
   
7. The administrator would review these suggestions and determine which proposed names should be applied from the Skills Taxonomy or which Skills should not be modified and keep their current names.
8. In Manage Talent Intelligence Hub, the Skills will now have two additional fields on their details: Standardization Status and Proposed Name, which are non editable in the UI. Multiple skills may be mapped to the same Proposed Name/
9. To update the attributes with the Proposed Skill names, the administrator will need to create a new integration in Integration Center, using the Skill Standardization Import ICD file available here: https://api.sap.com/package/SuccessFactorsTalentIntelligenceHubAdminImportTemplates/icd

   The sample file should have the following columns:

   • external ID - External ID of the Skill in attribute library
   • customLabel - Supported values for Standardization. The accepted values are:
     • S - Standardize the name to the name from SuccessFactors skills taxonomy. This will overwrite your existing Skill name and will have a mapping to the name from SuccessFactors skills taxonomy.
     • C - Standardize with your custom name to the name from SuccessFactors skills taxonomy. This will retain your existing name but will have a mapping to the name from SuccessFactors skills taxonomy.
     • U - Unstandardize the previously Standardized names. This will remove the mapping to the name from SuccessFactors skills taxonomy.

Employees can upload their resume on the Growth Portfolio, using an Add from Resume button available. When uploading a resume with this option, the AI-Assisted capabilities analyze the content of the resume and identifies skills from it by leveraging the SAP SuccessFactors universal skills taxonomy data.

The skills identified from the resume are compared to check if a match for the skill exists in the Attributes Library. If a skill identified from the resume exists in the Attributes Library, the skill is displayed on the Growth Portfolio. Skills that are identified from the resume but don't exist in the Attributes Library aren't displayed in the Growth Portfolio.

The prerequisites to use this feature are the following:

• Enable AI Services Administration→Assisted Skills Identification from Resume
• Users need the following permission in RBP: User Permissions→Growth Portfolio→Upload Resume
• The skills should be first standardized in the Attributes Library, using the AI-Assisted Skill Standardization.

• This AI capability is only supported for Skills, no other attribute type.
• The supported file types can be .doc, .docx, .pdf or .txt
• The file size limit for the resume is 3MB.
• Once skills are identified from the resume, the file will be deleted from the system.

Employees can review the skills and choose whether they want to add those skills to their Growth Portfolio.

Some of the key takeaways for this lesson are:

• Talent Intelligence Hub supports several Premium AI capabilities, to enhance attribute descriptions, translate labels, created a skill library based on job profile extraction, or recommend skills to employees based on their activities in Continuous Performance Management.

• Customers can apply standardization to their Skills library using AI capabilities. The skills taxonomy will suggest names and administrators can update via Integration Center the naming convention for their skills to apply industry standards.