AWS Bedrock is a fully managed service that allows developers to build and scale generative AI applications without needing to manage infrastructure or train foundational models themselves.
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project2025-11-20
The article discusses how Care Access, a healthcare organization, utilized Amazon Bedrock's prompt caching feature to significantly reduce data processing costs by 86% and improve processing speed by 66%. By caching static medical record content while varying analysis questions, Care Access optimized their operations to handle large volumes of medical records efficiently while maintaining compliance with healthcare regulations. The implementation details, including the architecture and security measures, are also highlighted, showcasing the transformative impact of this technology on their health screening program.
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product2025-11-18
The article discusses how organizations can leverage platform engineering principles to accelerate the development and deployment of generative AI applications. It highlights the challenges faced by organizations in experimenting with generative AI and emphasizes the importance of building reusable components to manage costs and improve efficiency. The article outlines the architecture of generative AI applications, including the integration of various data layers and the role of large language models. It also covers best practices for observability, orchestration, and governance in AI workflows.
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vision2025-11-17
The article introduces AWS Professional Services' new approach to consulting, leveraging agentic AI to enhance cloud adoption and digital transformation for organizations. It highlights the role of specialized AI agents in streamlining consulting processes, improving solution quality, and reducing project timelines. The integration of AI with human expertise is emphasized as a means to deliver better customer outcomes. Real-world examples, including the NFL's use of AWS agents, illustrate the tangible benefits of this innovative consulting model.
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product2025-10-30
The article discusses the challenges AI agents face when browsing the web, particularly with CAPTCHAs and other bot detection mechanisms. It introduces Amazon Bedrock AgentCore Browser's new feature, Web Bot Auth, which provides AI agents with verifiable cryptographic identities to reduce CAPTCHA friction. The article explains how this protocol works and its collaboration with WAF providers to ensure secure access for verified bots. It highlights the benefits for both AI agents and website owners in managing automated traffic.
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product2025-05-20
Interested to know when an Amazon Bedrock knowledge base for the Redshift database, how to open the access for Apps with nature language.
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project2025-02-18
Very classic Glue job pipeline to feed the AWS Bedrock Knowledge Bases for a RAG use case.
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vision2025-02-12
summarise of all the concept and technologies to build a production ready RAG solution.
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project2024-12-17
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product2024-11-15
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product2024-12-13
An agent breaks down the process of answering questions into multiple steps, and uses different tools to answer different types of questions or interact with multiple data sources, is a good practise.
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