AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. This allows you to track and be notified automatically if any failure occurs and trigger automated recovery processes that work around or repair the failure.

IDP 99

IDP Automation Machine Learning ML 99

Flipboard

JUNE 9, 2023

WordLift WordLift automates search engine optimization by scanning a website’s content, enriching it with structured data or schema markup, and submitting it to Google. ContentBot ContentBot is an additional content generator that makes use of the OpenAI GPT-3 NLP engine.

Artificial Intelligence 94

Artificial Intelligence Artificial Intelligence Metadata Content Enrichment 94

AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP pipeline usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. The goal is to streamline the development lifecycle and use automation to ensure smooth and rapid deployment of updates or new features.

IDP 102

IDP Data Extraction Machine Learning Auto-classification 102

AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. For example, metadata can be used for filtering and searching.

Metadata 117

Metadata Auto-classification Auto-complete Content Enrichment 117