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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. A Business or Enterprise Google Workspace account with access to Google Chat.

APIs 123
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Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

AWS Machine Learning

With the rise of generative artificial intelligence (AI), an increasing number of organizations use digital assistants to have their end-users ask domain-specific questions, using Retrieval Augmented Generation (RAG) over their enterprise data sources. The request is sent by the web application to the API.

APIs 128
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Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning

Invoice processing is a critical yet often cumbersome task for businesses of all sizes, especially for large enterprises dealing with invoices from multiple vendors with varying formats. You can upload them directly using the console, API, or as part of your regular business process.

APIs 104
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Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These enterprise customers that are starting to adopt AWS, expanding their footprint on AWS, or plannng to enhance an established AWS environment need to ensure they have a strong foundation for their cloud environment.

APIs 81
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How Druva used Amazon Bedrock to address foundation model complexity when building Dru, Druva’s backup AI copilot

AWS Machine Learning

Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Dru on the backend decodes log data, deciphers error codes, and invokes API calls to troubleshoot. This approach allowed us to break the problem down into multiple steps: Identify the API route.

APIs 108
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Redefining the Future of Enterprise Contact Center Solutions

Balto

Modern enterprise contact center solutions utilize Artificial Intelligence (AI) and Machine Learning (ML) to identify customer pain points, the causes of low scores, and why your customers aren’t satisfied with their experience with your company.

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Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

AWS Machine Learning

Amazon Q Business is a fully managed, secure, generative-AI powered enterprise chat assistant that enables natural language interactions with your organization’s data. The AWS Support, AWS Trusted Advisor, and AWS Health APIs are available for customers with Enterprise Support, Enterprise On-Ramp, or Business support plans.

Scripts 118