Reference: Machine Learning Data Contributions

Based on your organization’s subscription service agreement, these features require you to contribute your tenant data to maximize the benefits of Machine Learning.

Cross Application Services: Intelligent Core Generally Available Features

ML Feature	Opt-In Data Category	Considerations
Machine Learning Recommendations for Change Job	Custom Organization Data Supervisory Organization Data Staffing Event Data Worker Profile Data	Country exclusion is unavailable for the Supervisory Organization Data and Custom Organization Data categories.

Financials: Financial Management Machine Learning GA Features

Data Category	Consideration
Customer Payment Data	To enable Intelligent Customer Payment Matching, you must have customer payment transaction data in the past 30 days. This functionality provides beneficial recommendations only when you’re processing customer payments in Workday.
Expense Protect	To use the Expense Protect feature, you need at least 10,000 expense reports in your tenant. When users submit expenses, Expense Protect automatically evaluates them to provide risk levels, recommendations, and insights.
Journal Line Data	Before you can use the Journal Insights feature, you need at least 12 months of existing historical data.
Supplier Invoice Data	You can enable machine learning suggestions for your top 5 most commonly used selections for these worktags on supplier invoice lines: Cost center Location Region Spend category After you opt in to the Innovation Service, you must enable worktag recommendations on supplier invoice documents in the Supplier Accounts Options section on the Edit Tenant Setup – Financials task.

Financials: Receipt Scanning for Expenses

Data Category	Consideration
Receipt Scanning for Expenses	You can scan receipts in PDF, JPG, TIFF, and PNG file formats.

HCM: HCM Machine Learning GA Features

To enable Machine Learning for these features, you must enable the

HCM Machine Learning GA Features

service and enable data contribution for each feature.

ML Feature	ML Categories for Feature	Opt-In Data Category	Considerations
ML for Worker Profile and Skills	Skills Cloud Skills Suggestions and Verification	Job Requisition Data Talent Profile Data Worker Profile Data	Workday recommends enabling Skills Cloud to maintain the skills data of your workers. Country exclusion is unavailable for the Talent Profile Data and Job Requisition Data categories. While not required, Workday recommends you opt in to contributing data for the Skills Cloud and Skills Suggestions and Verification categories.
ML for Recruiting	Suggested Jobs for External Candidates Suggested Skills for External Candidates Suggested Skills for Job Requisitions	Job Requisition Data	Country exclusion is unavailable for the Job Requisition Data category.
ML for Learning Core	Learning Skills Tagging Machine Learning Recommended For You Related Content Recommendations Based on Your Skills to Develop	Learning Data	Use the Edit Tenant Setup - HCM task to configure the Related Content Recommendations worklet. Use the Maintain Learner Experience task to configure the Based on Your Skills to Develop and Machine Learning Recommended For You worklets. You must opt into the Learning Data category to use the Based on Your Skills to Develop worklet. Workday provides a non-Machine Learning version of recommendations if you don't opt into it. You must opt into the Learning Data category to use the Related Content Recommendations worklet. You must opt into the Learning Data and Worker Profile Data categories to use the Machine Learning Recommended For You worklet. Workday updates machine learning data every 24 hours, Monday through Friday.
ML for Talent Marketplace	Talent Marketplace	Demographics Data Job Requisition Data Learning Data Skills Data Talent Opportunity Marketplace Data Worker Profile Data	Country exclusion is unavailable for the Job Requisition Data and Talent Opportunity Marketplace Data categories.
ML for Career Hub	Career Hub	Job Requisition Data Learning Data Talent Opportunity Marketplace Data Talent Profile Data Worker Profile Data	You must be a Career Hub customer and meet certain requirements to use this feature. Contact your Customer Success Manager for information on Career Hub. Country exclusion is unavailable for the Job Requisition Data, Talent Opportunity Marketplace Data categories, and Talent Profile Data categories.
ML for Manager Insights Hub	Manager Insights Hub	Learning Data Talent Opportunity Marketplace Data Worker Profile Data	Country exclusion is unavailable for the Talent Opportunity Marketplace Data category. The Suggested Opportunities section of Manager Insights Hub uses machine learning to make personalized suggestions. To access this functionality, opt in to the HCM Machine Learning GA Features service and relevant data categories, and enable Skills Cloud and Interests.

If you enabled Skills Cloud through the Workday Graph innovation service, your data selection and Skills Cloud configuration remain valid.

You can access the

Innovation Service Data Details

report to drill into the fields tied to the HCM Machine Learning GA Features Innovation Service.

HCM: Workforce Management Machine Learning Services

Data Category	Consideration
Time Configuration Data	You must contribute data from this category to use the Workday Time Anomaly feature. Workday updates the data used to train the machine learning model weekly with all time entry template, work schedule calendar, and time calculation data.
Worker Data	You must contribute data from this category to use the Workday Time Anomaly feature. Workday updates the data used to train the machine learning model weekly with limited worker organization and job data for workers who have entered time.
Historical Schedule Block Data	You must contribute data from this category to use the Workday Time Anomaly feature. Workday updates the data used to train the machine learning model weekly with historical schedule blocks for workers,
Worker Time and Absence Data	You must contribute data from this category to use the Workday Time Anomaly feature. Workday updates the data used to train the machine learning model weekly with all workers' time block, time block history, time off entry, and time review event data.
User Feature Delivery Data	You can contribute data in your tenant from the User Feature Delivery Data category to help Workday detect time anomalies. To see which data from this category you're contributing, run the Innovation Service Data Details report for Workforce Management Machine Learning Services. Country exclusion is unavailable for this category.

Payroll: Payroll Machine Learning GA Features

Select

Payroll: Payroll Machine Learning GA Features

from the

Innovation Services Valid for Maintain Data Opt-In

field. Select the

Opt in

check box for these categories:

Data Category	Consideration
Anomalous Payroll Results	You must contribute data from this category to use the Workday Payroll Insights feature
Payroll Data	You must contribute data from this category to use the Workday Payroll Insights feature. We recommend that your tenant has at least 6 pay periods or more of historical payroll data before opting into this feature. This ensures there's enough training data for the machine learning model.
Payroll Data (Historical)	You must contribute data from this category to use the Workday Payroll Insights feature. We recommend that your tenant has at least 6 pay periods or more of historical payroll data before opting into this feature. This ensures there's enough training data for the machine learning model.
Payroll Insights Validations	You must contribute data from this category to use the Workday Payroll Insights feature.
Previous States of Payroll Results (Historical)	You must contribute data from this category to use the Workday Payroll Insights feature. We recommend that your tenant has at least 6 pay periods or more of historical payroll data before opting into this feature. This ensures there's enough training data for the machine learning model.
Worker Data	You must contribute data from this category to use the Workday Payroll Insights feature.

Opt-in is required for all of the 6 data categories to build tenanted models and to enable Payroll Insights functionality. Not selecting all data categories will result in failing to build and deploy the machine learning model as designed. The feature won't be fully functional without these models.

Workday recommends that you don't opt out of the innovation service once you run the Payroll Insights report to view predictions. Opting out disables the feature and causes data synchronization issues

People Experience: User Experience Machine Learning

Data Category	Consideration
Workday-Generated User Information	Workday displays the 3 recommended tasks in the Quick Tasks section on the home page based on: The trends occurring across tenants. User activity in your production tenant.
Knowledge Management Articles	You can contribute data in your tenant from the Knowledge Management Articles category, enabling Workday to recommend relevant articles to users.
Search Query	You can contribute data in your tenant from the Search Query category to provide more relevant and personalized search results when using Workday Search.

Spend Management: Spend Management Machine Learning GA Features

Data Category	Consideration
Spend Transaction Data	If you opted in before Workday added support for purchase orders, Workday displays an Opt In to Additional Data check box. Select this check box to contribute data for purchase order recommendations. When you opt out of the data contribution, Workday purges your data within 2 weeks.