Today, we’re announcing a new capability from Amazon Q Business to seamlessly access your assistant within popular web browsers and productivity tools. This helps you save time and complete your work and tasks more efficiently without having to leave your preferred applications. Now, you can use Amazon Q Business directly from your web browser and other supported messaging and collaboration applications. You can quickly gather insights, review information, and ask questions. For example, you can effortlessly analyze and summarize content, get explanations on complex topics, or create meeting summaries without switching between applications. Let’s get started Let me walk you through how to get started with the new browser extensions and integrations. First, let’s look at the browser extensions. The…
Announcing Amazon FSx Intelligent-Tiering, a new storage class for FSx for OpenZFS
When I speak to customers who are planning to migrate massive amounts of on-premises data to AWS, they tell me that they want to simplify their storage management, reduce their costs, and to make the data more accessible so that it can be used for analytics, machine learning training, genomics, and other use cases. Customers are already using Network Attached Storage (NAS) on-premises, and are looking for a cloud-based upgrade that offers similar capabilities including point-in-time snapshots, data clones, and user management. AWS customers such as Amdocs, Vela Games, and Astera Labs have been running their mission-critical and performance-intensive NAS workloads like databases, game development and streaming, and semiconductor chip design on Amazon FSx for OpenZFS. They’ve been using the…
New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock
Today, we’re announcing two new evaluation capabilities in Amazon Bedrock that can help you streamline testing and improve generative AI applications: Amazon Bedrock Knowledge Bases now supports RAG evaluation (preview) – You can now run an automatic knowledge base evaluation to assess and optimize Retrieval Augmented Generation (RAG) applications using Amazon Bedrock Knowledge Bases. The evaluation process uses a large language model (LLM) to compute the metrics for the evaluation. With RAG evaluations, you can compare different configurations and tune your settings to get the results you need for your use case. Amazon Bedrock Model Evaluation now includes LLM-as-a-judge (preview) – You can now perform tests and evaluate other models with humanlike quality at a fraction of the cost and…
Newly enhanced Amazon Connect adds generative AI, WhatsApp Business, and secure data collection
Today, Amazon Connect introduces a set of new features that help businesses enhance their contact center operations through generative AI, advanced security features, and streamlined bot management. These innovations help businesses deliver better customer experiences by creating more time and space for meaningful human interactions, while maintaining security and compliance. Contact center managers continually face challenges in optimizing self-service resolution rates, evaluating agent performance efficiently, and maintaining data privacy compliance. Additionally, creating and managing conversational AI experiences often requires specialized expertise and complex integrations across multiple services. To address these challenges, Amazon Connect introduced key features such as generative AI–powered customer segmentation for targeted campaigns, native WhatsApp Business messaging for omnichannel support, secure collection of sensitive customer data in chat…