Remove Authentication Remove Compliance Remove Serverless
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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

Using Amazon Bedrock Knowledge Base, the sample solution ingests these documents and generates embeddings, which are then stored and indexed in Amazon OpenSearch Serverless. User authentication is handled by Amazon Cognito , making sure only authenticated user have access.

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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning - AI

Inconsistent governance – Without a standardized, self-service mechanism to access the CCoE teams’ expertise and disseminate guidance on new policies, compliance practices, or governance controls, it was difficult to maintain consistency based on the CCoE best practices across each business unit.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. A lending company uses MaestroQA to detect compliance risks on 100% of their conversations.

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FloQast builds an AI-powered accounting transformation solution with Anthropic’s Claude 3 on Amazon Bedrock

AWS Machine Learning - AI

At scale, upholding the accuracy of each financial event and maintaining compliance becomes a monumental challenge. The workflow starts with user authentication and authorization (steps 1-3). As businesses expand, they encounter a vast array of transactions that require meticulous documentation, categorization, and reconciliation.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices. API Gateway is serverless and hence automatically scales with traffic.

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Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

AWS Machine Learning - AI

Compliance with AI regulation As global regulations around AI continue to evolve, red teaming can help organizations by setting up mechanisms to systematically test their applications and make them more resilient, or serve as a tool to adhere to transparency and accountability requirements.

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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning - AI

This includes how we configured data sources that comprise our knowledge base, indexing documents and relevancy tuning , security (authentication, authorization, and guardrails ), and Amazon Qs APIs for conversation management and custom plugins. Previously, we had to build and maintain custom logic to handle these tasks.

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