AWS Machine Learning Blog

APRIL 11, 2024

Advances in generative artificial intelligence (AI) have given rise to intelligent document processing (IDP) solutions that can automate the document classification, and create a cost-effective classification layer capable of handling diverse, unstructured enterprise documents. Categorizing documents is an important first step in IDP systems.

IDP 133

IDP Software Engineer Metadata Categorization 133

AWS Machine Learning Blog

FEBRUARY 14, 2023

Solution overview To solve this problem, you can identify one or more unique metadata information that is associated with the documents being indexed and searched. In Amazon Kendra, you provide document metadata attributes using custom attributes.

Chatbots 97

Chatbots AI Chatbots Metadata IDP 97

AWS Machine Learning Blog

JULY 25, 2024

SharePoint Sever and SharePoint Online contain pages, files, attachments, links, events, and comments that can be crawled by Amazon Q SharePoint connectors for SharePoint Server and SharePoint Online. The SharePoint online data source can be optionally connected to an IdP such as Okta or Microsoft Entra ID.

IDP 118

IDP Metadata Generative AI Software Development 118

AWS Machine Learning Blog

JANUARY 8, 2024

With AWS intelligent document processing (IDP) using AI services such as Amazon Textract , you can take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from PDFs or document images (TIFF, JPEG, PNG). The following diagram illustrates the sequence of events within the script.

IDP 118

IDP Python Auto-complete Natural Language Processing 118

AWS Machine Learning Blog

MAY 24, 2023

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

IDP 94

IDP LLM Automation Generative AI 94

AWS Machine Learning Blog

MARCH 29, 2023

The postprocessing component uses bounding box metadata from Amazon Textract for intelligent data extraction. TextractAsyncSNSListener is an AWS Lambda function that handles the Amazon Textract job completion event, and returns the metadata back to the workflow for further processing.

ML 95

ML Metadata Data Ingestion Data Extraction 95

AWS Machine Learning Blog

MAY 9, 2023

Most observations are simple name/value pair assertions with some metadata, but some observations group other observations together logically, or could even be multi-component observations.

Natural Language Processing 99

Natural Language Processing IDP NLP Metadata 99