AWS prescriptive-guidance documentation change
Summary
Updated product references (SageMaker AI to Amazon SageMaker) and fixed apostrophe formatting
Security assessment
Changes involve product name standardization and typo fixes without introducing or modifying security-related content.
Diff
diff --git a/prescriptive-guidance/latest/strategy-unlock-value-data-financial-services/targeted-business-outcomes.md b/prescriptive-guidance/latest/strategy-unlock-value-data-financial-services/targeted-business-outcomes.md index c854b4b27..28cf1c7ae 100644 --- a//prescriptive-guidance/latest/strategy-unlock-value-data-financial-services/targeted-business-outcomes.md +++ b//prescriptive-guidance/latest/strategy-unlock-value-data-financial-services/targeted-business-outcomes.md @@ -9 +9 @@ -The key business outcome is to adopt optimized processes that can transform your organization’s data into business value. Specifically, this strategy can help you achieve the following targeted business outcomes: +The key business outcome is to adopt optimized processes that can transform your organization's data into business value. Specifically, this strategy can help you achieve the following targeted business outcomes: @@ -13 +13 @@ The key business outcome is to adopt optimized processes that can transform your - * Implement a scalable, secure, cost-efficient, and sustainable infrastructure deployment by using AWS Service Catalog to create an on-demand managed infrastructure with Amazon SageMaker AI. + * Implement a scalable, secure, cost-efficient, and sustainable infrastructure deployment by using AWS Service Catalog to create an on-demand managed infrastructure with Amazon SageMaker. @@ -26 +26 @@ The key business outcome is to adopt optimized processes that can transform your -When you scale the use of advanced analytics in the enterprise, it can take too long to develop and release ML models and solutions into production. By partnering with AWS, you receive guidance and support that can help you rapidly design, build, and launch a modern, secure, scalable, and sustainable self-service platform for developing and productionizing ML-based services to support your business and customers. [AWS Professional Services](https://aws.amazon.com/professional-services/) can work with you to accelerate the implementation of AWS best practices for using [SageMaker AI](https://aws.amazon.com/sagemaker/) to build, train, and deploy ML models for use cases customized to your organizational needs. +When you scale the use of advanced analytics in the enterprise, it can take too long to develop and release ML models and solutions into production. By partnering with AWS, you receive guidance and support that can help you rapidly design, build, and launch a modern, secure, scalable, and sustainable self-service platform for developing and productionizing ML-based services to support your business and customers. [AWS Professional Services](https://aws.amazon.com/professional-services/) can work with you to accelerate the implementation of AWS best practices for using [Amazon SageMaker AI](https://aws.amazon.com/sagemaker/) to build, train, and deploy ML models for use cases customized to your organizational needs.