Generative AI IDP Metadata 
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.
AWS Machine Learning Blog
MARCH 21, 2025
It handles a wide range of tasks such as answering questions, providing summaries, generating content, and completing tasks based on data in your organization. Amazon Q Business offers over 40 data source connectors that connect to your enterprise data sources and help you create a generative AI solution with minimal configuration.
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AWS Machine Learning Blog
MARCH 20, 2025
Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. billion in 2025 to USD 66.68 billion by 2032 with a CAGR of 30.1 %.
AWS Machine Learning Blog
OCTOBER 31, 2024
Amazon Q Business is a fully managed, generative AI-powered assistant designed to enhance enterprise operations. The Gmail connector for Amazon Q Business also supports the indexing of a rich set of metadata from the various entities in Gmail. These field mappings allow you to map Gmail field names to Amazon Q index field names.
AWS Machine Learning Blog
AUGUST 22, 2024
Amazon Q Business is a conversational assistant powered by generative artificial intelligence (AI) that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access.
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.
AWS Machine Learning Blog
OCTOBER 24, 2023
Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.
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