Get the most from IDP
with AWS
IDP solutions that use AWS machine learning can
help you extract text from millions of documents,
understand the sentiment of or relationships
between that data, and potentially include a
human review to validate, correct, or augment
output for higher accuracy and compliance.
AWS offers several flexible approaches that
can be used to implement a machine learning-
based IDP solution, depending on the stage of
your document processing journey, business
landscape, and desired business outcomes.
For organizations that are looking to get
started with an IDP solution today, with no ML
expertise required, AWS offers services, such
as Amazon Textract, Amazon Comprehend,
Amazon Augmented AI (Amazon A2I), and
Amazon Kendra. Combined together or used
separately, these AWS services can provide
a powerful way to reduce cost and manual
effort—and improve your business outcomes.
Alternatively, organizations that want to
develop their own machine learning models
for text extraction and analysis can use
Amazon SageMaker, a fully managed service
that helps data scientists and ML developers
build, train, and deploy machine learning
models quickly.
In the next few sections, we'll review the benefits
and general use cases for these services. Later,
we'll show how financial services and healthcare
organizations, as well as contact centers, are using
one or more AWS services for IDP.
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