GenAI News

Classify call center conversations with Amazon Bedrock batch inference

In this post, we demonstrate how to build an end-to-end solution for text classification using the Amazon Bedrock batch inference capability with the Anthropic’s Claude Haiku model. Amazon Bedrock batch inference offers a 50% discount compared to the on-demand...

Combat financial fraud with GraphRAG on Amazon Bedrock Knowledge Bases

Financial fraud detection isn’t just important to banks—it’s essential. With global fraud losses surpassing $40 billion annually and sophisticated criminal networks constantly evolving their tactics, financial institutions face an increasingly complex threat landscape. Today’s fraud schemes operate across multiple...

Accelerating data science innovation: How Bayer Crop Science used AWS AI/ML services to build their next-generation MLOps service

The world’s population is expanding at a rapid rate. The growing global population requires innovative solutions to produce food, fiber, and fuel, while restoring natural resources like soil and water and addressing climate change. Bayer Crop Science estimates farmers...

Effective cross-lingual LLM evaluation with Amazon Bedrock

Evaluating the quality of AI responses across multiple languages presents significant challenges for organizations deploying generative AI solutions globally. How can you maintain consistent performance when human evaluations require substantial resources, especially across diverse languages? Many companies find themselves...

Cohere Embed 4 multimodal embeddings model is now available on Amazon SageMaker JumpStart

This post is co-written with Payal Singh from Cohere. The Cohere Embed 4 multimodal embeddings model is now generally available on Amazon SageMaker JumpStart. The Embed 4 model is built for multimodal business documents, has leading multilingual capabilities, and offers...

Agents as escalators: Real-time AI video monitoring with Amazon Bedrock Agents and video streams

Organizations deploying video monitoring systems face a critical challenge: processing continuous video streams while maintaining accurate situational awareness. Traditional monitoring approaches that use rule-based detection or basic computer vision frequently miss important events or generate excessive false positives, leading...
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