When is it recommended to use an ML (Machine Learning) model solution?
A.
For structured or semi-structured documents in which layouts of different document providers vary greatly.
B.
For fixed-layout documents for data extraction, including handwriting recognition and signature detection.
C.
For simple use cases in which data is always found in a strict, predictable format and context.
D.
When documents have little to no variation in the document layouts.
The Answer Is:
A
This question includes an explanation.
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
ML models arebest suited for complex, semi-structured or unstructured documentswhere rules or templates can't handle layout variability. For example, invoices from many vendors with different formats are ideal for ML.
In contrast, fixed-format documents are better handled with regex, form, or template-based extractors.
UiPath Documentation Reference:Choosing the Right Extractor – Document Understanding
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