Showed your commitment to the SAP Community. Perform at least one of the following activities every day, for 5 days (midnight to midnight UTC) in a row within the month of September:
Showed your commitment to the SAP Community. Perform at least one of the following activities every day, for 5 days (midnight to midnight UTC) in a row within the month of March:
Showed your commitment to the SAP Community. Performed at least one of the following activities every day, for 5 days (midnight to midnight UTC) in a row within the month of January:
Showed your commitment to the SAP Community. Performed at least one of the following activities every day, for 5 days (midnight to midnight UTC) in a row within the month of November:
Set up your own SAP Integration Suite tenant and deployed an integration scenario using prepackaged integration content.
Enriched the information extracted from documents with existing master data, to match enrichment data entities with the extracted header fields from business documents that have content in headers and tables. To do so, used machine learning with Document Information Extraction, one of the SAP AI Business Services in SAP Business Technology Platform
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Used Data Attribute Recommendation (one of the SAP AI Business Services in SAP Business Technology Platform) to classify entities such as products, stores and users into multiple classes, using free text, numbers and categories.
Created your own header and line item fields, and annotate sample documents to automate the extraction of information from custom documents (not supported out of the box) such as r�sum�s and power of attorney, using machine learning with Document Information Extraction of SAP AI Business Services.
Set up your own SAP Integration Suite tenant and a third-party application, and designed and executed an integration scenario that read information from the third-party application.
Started using SAP Data Warehouse Cloud, and learn the fundamentals of modeling your data.
"Set up your own SAP Cloud Platform Integration tenant and deployed an integration scenario where you requested product details from an online webshop.
"Used Document Information Extraction (a service of SAP AI Business Services in SAP Business Technology Platform) to process business documents that have content in headers and tables.
As part of Devtoberfest 2021 - completed tutorial: View the SAP BTP from 10,000 Meters
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50 accepted solutions! Impressive!!
You now have 20 accepted solutions! Thank you for your valuable contributions!
5 accepted solutions! Thank you!
One of your replies was marked as an accepted solution! Thank you for sharing your knowledge.
20 kudos! Nice!
You have received your 5th kudo! Keep up the good work!
You have received your first kudo!
Thank you for showing your appreciation!
Keep em' coming!
100 replies! Our community is fortunate to have you!
50 replies for the win!
Excellent, 20 replies!
5 replies and counting!
Thank you for your contribution!
1 Year PDC