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learn-pr/wwl-data-ai/integrate-ai-services-enrich-azure-database-postgresql/includes/01-introduction.md

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This module guides you through implementing these intelligent features, showing how to enrich applications with actionable insights and multilingual support, while keeping data secure and accessible.
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**In this module, you will learn to:**
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**In this module, you learn:**
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- Summarize long property descriptions and guest reviews for quick consumption.
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- Analyze sentiment to uncover satisfaction trends and address issues.
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- Extract key phrases and entities to improve search and categorization.
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- Detect and redact sensitive information to ensure privacy and compliance.
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- Translate content to support international guests and hosts.
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After completing this module, you’ll be able to:
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After completing this module, you can:
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- Apply Azure Language services for text summarization and sentiment analysis.
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- Use key phrase extraction and entity recognition to structure unstructured data.

learn-pr/wwl-data-ai/integrate-ai-services-enrich-azure-database-postgresql/includes/10-summary.md

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- Safeguard privacy by detecting and redacting Personal Identifiable Information (PII).
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- Translate listings and reviews to reach a broader audience.
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## Learn more
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For more information about the subjects discussed in this module, refer to the following resources:
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[Integrate Azure AI capabilities into Azure Database for PostgreSQL](/azure/postgresql/flexible-server/how-to-integrate-azure-ai)
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[Integrate Azure Database for PostgreSQL with Azure Cognitive Services](/azure/postgresql/flexible-server/generative-ai-azure-cognitive)
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[Gen AI simplified: The azure_ai extension now generally available on Azure Database for PostgreSQL](https://techcommunity.microsoft.com/blog/adforpostgresql/gen-ai-simplified-the-azure-ai-extension-now-generally-available-on-azure-databa/4146139)

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