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

AWS Machine Learning

To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

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From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning

Their results speak for themselvesAdobe achieved a 20-fold scale-up in model training while maintaining the enterprise-grade performance and reliability their customers expect. ServiceNows innovative AI solutions showcase their vision for enterprise-specific AI optimization. times lower latency compared to other platforms.

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AI Workforce: using AI and Drones to simplify infrastructure inspections

AWS Machine Learning

Each drone follows predefined routes, with flight waypoints, altitude, and speed configured through an AWS API, using coordinates stored in Amazon DynamoDB. API Gateway plays a complementary role by acting as the main entry point for external applications, dashboards, and enterprise integrations.

APIs 103
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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning

Note that these APIs use objects as namespaces, alleviating the need for explicit imports. API Gateway supports multiple mechanisms for controlling and managing access to an API. AWS Lambda handles the REST API integration, processing the requests and invoking the appropriate AWS services.

APIs 105
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Discover insights from Gmail using the Gmail connector for Amazon Q Business

AWS Machine Learning

Amazon Q Business is a fully managed, generative AI-powered assistant designed to enhance enterprise operations. Whether you’re a small startup or a large enterprise, this solution can help you maximize the potential of your Gmail data and empower your team with actionable insights. Choose Enable to enable this API.

APIs 116
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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

In this post, we demonstrate how the CQ solution used Amazon Transcribe and other AWS services to improve critical KPIs with AI-powered contact center call auditing and analytics. Additionally, Intact was impressed that Amazon Transcribe could adapt to various post-call analytics use cases across their organization.