AWS Machine Learning Blog

JULY 24, 2024

The web application that the user uses to retrieve answers would be connected to an identity provider (IdP) or the AWS IAM Identity Center. The user’s credentials from the IdP or IAM Identity Center are referred to here as the federated user credentials. In this example, metadata files including the ACLs are in a folder named Meta.

Metadata 126

Metadata IDP Generative AI LLM 126

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). Refer to Block for more information on blocks.

IDP 106

IDP Python Auto-complete Machine Learning 106

AWS Machine Learning Blog

FEBRUARY 14, 2023

Amazon Kendra is an intelligent search service powered by machine learning (ML). 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 92

Chatbots AI Chatbots Metadata IDP 92

AWS Machine Learning Blog

JULY 25, 2024

A document is a collection of information that consists of a title, the content (or the body), metadata (data about the document), and access control list (ACL) information to make sure answers are provided from documents that the user has access to. In this case, the documents in SharePoint Online can have the federated group information.

IDP 102

IDP Metadata Generative AI Software Development 102

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 87

IDP LLM Automation Generative AI 87

AWS Machine Learning Blog

AUGUST 8, 2024

A document is a collection of information that consists of a title, the content (or the body), metadata (data about the document), and access control list (ACL) information to make sure answers are provided from documents that the user has access to. Amazon Q supports the crawling and indexing of these custom objects and custom metadata.

Metadata 114

Metadata Generative AI ML IDP 114

AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

ML 83

ML Metadata Data Ingestion Data Extraction 83

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. The following diagram shows the workflow to migrate unstructured data into FHIR for AI and machine learning (ML) analysis in Amazon HealthLake.

Natural Language Processing 84

Natural Language Processing IDP NLP Metadata 84

AWS Machine Learning Blog

MAY 18, 2023

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). If you use an email ID with domain form IDP as the ACL setting, the LDAP server endpoint, search base, LDAP user name, and LDAP password are also required. For this post, we select Full sync. Choose Next.

IDP 91

IDP ML Metadata Categorization 91

AWS Machine Learning Blog

AUGUST 22, 2024

Metadata Every document has structural attributes—or metadata—attached to it. External Identity Provider – Choose this option if you want to manage users in other external identity providers (IdPs) through the Security Assertion Markup Language (SAML) 2.0 His core area of focus includes Generative AI and Machine Learning.

Generative AI 104

Generative AI Metadata IDP AI 104

Flipboard

MARCH 21, 2025

With Amazon SageMaker Catalog , teams can collaborate through projects, discover, and access approved data and models using semantic search with generative AI-created metadata, or you can use natural language to ask Amazon Q to find your data. The table metadata is managed by Data Catalog.

Metadata 134

Metadata ETL Data Analysis IDP 134

AWS Machine Learning Blog

NOVEMBER 22, 2024

This allows you to directly manage user access to Amazon Q Business applications from your enterprise identity provider (IdP), such as Okta or PingFederate. This involves a setup described in the following steps: Create a SAML or OIDC application integration in your IdP account.

IDP 86

IDP Auto-complete Python Generative AI 86

AWS Machine Learning Blog

NOVEMBER 1, 2024

Metadata Every document has structural attributes—or metadata—attached to it. There are four default metadata attributes indexed for each Google Drive document: authors, source URL, creation date, and last update date. IAM identity provider – Amazon Q Business applications can now federate with an enterprise’s IAM IdP.

IDP 112

IDP Metadata Generative AI AI Chatbots 112

AWS Machine Learning Blog

DECEMBER 11, 2024

A document is a collection of information that consists of a title, the content (or the body), metadata (data about the document), and access control list (ACL) information to make sure answers are provided from documents that the user has access to. Refer to Sync run schedule for more information about each option.

Auto-complete 101

Auto-complete IDP Generative AI Metadata 101