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AWS solutions documentation change

Service: solutions · 2025-05-10 · Documentation low

File: solutions/latest/modern-data-architecture-accelerator/solution-overview.md

Summary

Added references to generative AI development environments and AI/ML workloads in the solution overview.

Security assessment

The updates focus on expanding solution capabilities, not addressing security issues or documenting security features.

Diff

diff --git a/solutions/latest/modern-data-architecture-accelerator/solution-overview.md b/solutions/latest/modern-data-architecture-accelerator/solution-overview.md
index 4f8bf845b..3dab2e58f 100644
--- a//solutions/latest/modern-data-architecture-accelerator/solution-overview.md
+++ b//solutions/latest/modern-data-architecture-accelerator/solution-overview.md
@@ -9 +9,5 @@ Publication date: _April 2025. For updates, refer to[ CHANGELOG.md](https://gith
-The Modern Data Architecture Accelerator (MDAA) on AWS helps customers rapidly deploy and manage sophisticated data platform architectures on AWS. This solution provides a flexible framework that can adapt to most common analytics platform architectures, including basic Data Lakes and Data Warehouses, Lake House architectures, and complex Data Mesh implementations. The solution helps you establish a modern data foundation with built-in security, governance, and operational capabilities. Through a simplified configuration approach, you can:
+The Modern Data Architecture Accelerator (MDAA) on AWS helps customers rapidly deploy and manage sophisticated data platform architectures on AWS. This solution provides a flexible framework that can adapt to most common analytics platform architectures, including basic Data Lakes and Data Warehouses, Lake House architectures, complex Data Mesh implementations, and generative AI development environments. The solution helps you establish a modern data foundation with built-in security, governance, and operational capabilities. Through a simplified configuration approach, you can:
+
+  * Deploy generative AI development environments with integrated AWS services
+
+  * Configure and manage AI/ML workloads including generative AI solutions
@@ -40 +44 @@ MDAA is provided as an open-source solution that can be deployed from locally cl
-  * Analytics-Ready Infrastructure: Pre-configured analytics services and data processing pipelines
+  * Analytics-Ready Infrastructure: Pre-configured analytics services and data processing pipelines, including integrated components for developing and deploying generative AI solutions