2928850 - General Questions on Machine Learning

You have some questions on Machine Learning (ML).

Should this be set up in the test tenant first to try out?
It depends. Machine Learning heavily depends on the quality of data. If your test tenant has a real and recent production data set, then you can do the model quality test in test tenants. Otherwise you can do only the technical test in the test tenant (whole workflow of ML). However, you wouldn't be able to assess the model quality based on either poor quality or non-business relevant data created by the testers the test tenant.
For ML purposes, is data processed outside of a private single tenant?
Everything is happening outside the Cloud for Customer tenant. The ML solution is not based on ABAP stack. Only the ML client of Cloud for Customer is running in Cloud for Customer ABAP stack. For training purpose data is retrieved into SAP ML technology stack (SCP based). Data is not persisted there permanently. SCP instances are running side-by-side to Cloud for Customer by respecting the tenant boundaries (no mixing of different tenants). SCP is part of the Cloud for Customer data sub-processor list.
Does Machine Learning adhere to EUDP?
As mentioned, data processing happens side-by-side in the SCP ML environment. There is no data sharing between the tenants or external applications. EUDP is adhered to.
Why are not all records considered and updated for scoring?
In a test/demo landscape tenant daily scoring is restricted to max 2000 records. This is not applicable in productive tenants.

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