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Secure a generative AI assistant with OWASP Top 10 mitigation

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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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Build a generative AI enabled virtual IT troubleshooting assistant using Amazon Q Business

AWS Machine Learning Blog

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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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

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 %.

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Build well-architected IDP solutions with a custom lens – Part 6: Sustainability

AWS Machine Learning Blog

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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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning Blog

This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution. Enhancing the capabilities of IDP is the integration of generative AI, which harnesses large language models (LLMs) and generative techniques to understand and generate human-like text.

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Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning Blog

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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Build private and secure enterprise generative AI apps with Amazon Q Business and AWS IAM Identity Center

AWS Machine Learning Blog

You can configure IAM Identity Center to use your enterprise identity provider (IdP)—such as Okta or Microsoft Entra ID—as the identity source. When using an external IdP such as Okta, users and groups are first provisioned in the IdP and then automatically synchronized with the IAM Identity Center instance using the SCIM protocol.

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