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AWS Machine Learning

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AWS Machine Learning

02.07.2025

Revolutionizing drug data analysis using Amazon Bedrock multimodal RAG capabilities | Artificial Intelligence

In this post, we explore how Amazon Bedrock's multimodal RAG capabilities revolutionize drug data analysis by efficiently processing complex medical documentation containing text, images, graphs, and tables.

AWS Machine Learning

02.07.2025

Introducing GenAI-powered business description recommendations for custom assets in Amazon SageMaker Catalog | AWS Big Data Blog

Amazon SageMaker Catalog now supports generative AI-powered recommendations for business descriptions, including table summaries, use cases, and column-level descriptions for custom structured assets registered programmatically. In this post, we demonstrate how to generate AI recommendations for business descriptions for custom structured assets in SageMaker Catalog.

AWS Machine Learning

02.07.2025

Fluent Commerce’s approach to near-zero downtime Amazon Aurora PostgreSQL upgrade at 32 TB scale using snapshots and AWS DMS ongoing replication | AWS Database Blog

Fluent Commerce, an omnichannel commerce platform, offers order management solutions that enable businesses to deliver seamless shopping experiences across various channels. Fluent uses Amazon Aurora PostgreSQL-Compatible Edition as its high-performance OLTP database engine to process their customers’ intricate search queries efficiently. Fluent Commerce strategically combined AWS-based upgrade approaches—including snapshot restores and AWS DMS ongoing replication—to seamlessly upgrade their 32 TB Aurora PostgreSQL databases with minimal downtime. In this post, we explore a pragmatic and cost-effective approach to achieve near-zero downtime during database upgrades. We explore the method of using the snapshot and restore method followed by continuous replication using AWS DMS.

AWS Machine Learning

02.07.2025

Accelerate SQL Server to Amazon Aurora migrations with a customizable solution | AWS Database Blog

Migrating from SQL Server to Amazon Aurora can significantly reduce database licensing costs and modernize your data infrastructure. To accelerate your migration journey, we have developed a migration solution that offers ease and flexibility. You can use this migration accelerator to achieve fast data migration and minimum downtime while customizing it to meet your specific business requirements. In this post, we showcase the core features of the migration accelerator, demonstrated through a complex use case of consolidating 32 SQL Server databases into a single Amazon Aurora instance with near-zero downtime, while addressing technical debt through refactoring.

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