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AWS Clean Rooms now supports multiple clouds and data sources

With expanded data sources, AWS Clean Rooms helps customers securely collaborate with their partners’ data across clouds, eliminating data movement, safeguarding sensitive information, promoting data freshness, and streamlining cross-company insights. Source

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With expanded data sources, AWS Clean Rooms helps customers securely collaborate with their partners’ data across clouds, eliminating data movement, safeguarding sensitive information, promoting data freshness, and streamlining cross-company insights.

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Amazon

How Cato Networks uses Amazon Bedrock to transform free text search into structured GraphQL queries

Accurately converting free text inputs into structured data is crucial for applications that involve data management and user interaction. In this post, we introduce a real business use case from Cato Networks that significantly improved user experience. By using Amazon Bedrock, we gained access to state-of-the-art generative language models with built-in support for JSON schemas…

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Accurately converting free text inputs into structured data is crucial for applications that involve data management and user interaction. In this post, we introduce a real business use case from Cato Networks that significantly improved user experience. By using Amazon Bedrock, we gained access to state-of-the-art generative language models with built-in support for JSON schemas and structured data.

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Enabling generative AI self-service using Amazon Lex, Amazon Bedrock, and ServiceNow

In this post, we show how you can integrate Amazon Lex with Amazon Bedrock Knowledge Bases and ServiceNow to provide 24/7 automated support and self-service options. Source

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In this post, we show how you can integrate Amazon Lex with Amazon Bedrock Knowledge Bases and ServiceNow to provide 24/7 automated support and self-service options.

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Solve forecasting challenges for the retail and CPG industry using Amazon SageMaker Canvas

In this post, we show you how Amazon Web Services (AWS) helps in solving forecasting challenges by customizing machine learning (ML) models for forecasting. We dive into Amazon SageMaker Canvas and explain how SageMaker Canvas can solve forecasting challenges for retail and consumer packaged goods (CPG) enterprises. Source

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In this post, we show you how Amazon Web Services (AWS) helps in solving forecasting challenges by customizing machine learning (ML) models for forecasting. We dive into Amazon SageMaker Canvas and explain how SageMaker Canvas can solve forecasting challenges for retail and consumer packaged goods (CPG) enterprises.

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