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

AWS Machine Learning

Although we previously demonstrated a usage scenario that involves a direct chat with the Amazon Bedrock application, you can also invoke the application from within a Google chat space, as illustrated in the following demo. Customize the solution In this post, we used Amazon Bedrock to power the chat-based assistant.

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How Formula 1® uses generative AI to accelerate race-day issue resolution

AWS Machine Learning

In the following demo, the scenario involves user complaints that they cant connect to F1 databases. In the demo, users provide an error code and date, and the chat assistant retrieves relevant logs from Amazon Bedrock Knowledge Bases to answer their questions and provide information for future analysis.

APIs 69
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J.D. Power and Tethr collaborate to fuel customer experience insights

Tethr

Power is a global leader in consumer insights, advisory services, and data and analytics. A pioneer in the use of big data, artificial intelligence (AI) and algorithmic modeling capabilities to understand consumer behavior, J.D. Power site, or request a demo and just mention J.D. The post J.D.

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Build a custom UI for Amazon Q Business

AWS Machine Learning

For instructions, refer to How do I integrate IAM Identity Center with an Amazon Cognito user pool and the associated demo video. Provide the following parameters for the stack: Stack name – The name of the CloudFormation stack (for example, AmazonQ-UI-Demo ). VPCId – The ID of the existing VPC that can be used to deploy the demo.

APIs 136
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Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points

AWS Machine Learning

Kesaraju Sai Sandeep is a Cloud Engineer specializing in Big Data Services at AWS. Don’t change or edit any Block Public Access settings for this access point (all public access should be blocked).

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

Boost productivity – Empowers knowledge workers with the ability to automatically and reliably summarize reports and articles, quickly find answers, and extract valuable insights from unstructured data. The following demo shows Agent Creator in action. He currently is working on Generative AI for data integration.

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Add conversational AI to any contact center with Amazon Lex and the Amazon Chime SDK

AWS Machine Learning

In this demo, we use an Asterisk server (a free contact center framework) deployed on an Amazon EC2 server to emulate a contact center connected to the PSTN through an Amazon Chime Voice Connector. As part of this demo, a phone number is acquired via the Amazon Chime SDK and associated with the Asterisk PBX.