Flipboard

JANUARY 24, 2025

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. If there are security risks that cant be clearly identified, then they cant be addressed, and that can halt the production deployment of the generative AI application.

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Generative AI LLM AI AI 160

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Building a production-ready IDP solution in the cloud requires a series of trade-offs between cost, availability, processing speed, and sustainability.

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IDP Data Ingestion Automation Natural Language Processing 108

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (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. It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices.

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AWS Machine Learning Blog

JULY 17, 2024

Amazon Q Business is a fully managed, secure, generative-AI powered enterprise chat assistant that enables natural language interactions with your organization’s data. compliant identity provider (IdP) configured in the same AWS Region as your Amazon Q Business application. AWS IAM Identity Center as the SAML 2.0-compliant

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IDP Automation Data Ingestion Generative AI 114

AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. This innovative platform empowers employees, regardless of their coding skills, to create generative AI processes and applications through a low-code visual designer.

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Generative AI IDP LLM Automation 76

AWS Machine Learning Blog

DECEMBER 11, 2024

Users such as database administrators, data analysts, and application developers need to be able to query and analyze data to optimize performance and validate the success of their applications. Generative AI provides the ability to take relevant information from a data source and deliver well-constructed answers back to the user.

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Auto-complete IDP Generative AI Metadata 99