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Many enterprises are burdened with mission-critical systems built on outdated technologies that have become increasingly difficult to maintain and extend. This post demonstrates how you can use the Amazon Bedrock Converse API with Amazon Nova Premier within an agentic workflow to systematically migrate legacy C code to modern Java/Spring framework applications. By breaking down the …

Streamline code migration using Amazon Nova Premier with an agentic workflow Read More »

This post was written with Audra Devoto, Owen Janson, and Christopher Brown of Metagenomi, and Adam Perry of Tennex. A promising strategy to augment the extensive natural diversity of high value enzymes is to use generative AI, specifically protein language models (pLMs), trained on known enzymes to create orders of magnitude more predicted examples of …

Metagenomi generates millions of novel enzymes cost-effectively using AWS Inferentia Read More »

We are disappointed by the CMA’s designation of an open mobile ecosystem with strategic market status. ​ 

Deploying machine learning (ML) models into production can often be a complex and resource-intensive task, especially for customers without deep ML and DevOps expertise. Amazon SageMaker Canvas simplifies model building by offering a no-code interface, so you can create highly accurate ML models using your existing data sources and without writing a single line of …

Serverless deployment for your Amazon SageMaker Canvas models Read More »

Amazon Nova Sonic is a foundation model that creates natural, human-like speech-to-speech conversations for generative AI applications, allowing users to interact with AI through voice in real-time, with capabilities for understanding tone, enabling natural flow, and performing actions. Multi-agent architecture offers a modular, robust, and scalable design pattern for production-level voice assistants. This blog post …

Building a multi-agent voice assistant with Amazon Nova Sonic and Amazon Bedrock AgentCore Read More »

Large-scale AI model training faces significant challenges with failure recovery and monitoring. Traditional training requires complete job restarts when even a single training process fails, resulting in additional downtime and increased costs. As training clusters expand, identifying and resolving critical issues like stalled GPUs and numerical instabilities typically requires complex custom monitoring code. With Amazon SageMaker …

Accelerate large-scale AI training with Amazon SageMaker HyperPod training operator  Read More »

Google Skills is a new home for building skills in AI, and learning about other topics like data analytics and security. ​ 

AI Studio has released new updates that give developers even more control. ​ 

This post is co-written with Ross Ashworth at TP ICAP. The ability to quickly extract insights from customer relationship management systems (CRMs) and vast amounts of meeting notes can mean the difference between seizing opportunities and missing them entirely. TP ICAP faced this challenge, having thousands of vendor meeting records stored in their CRM. Using …

How TP ICAP transformed CRM data into real-time insights with Amazon Bedrock Read More »

This guest post was written by Mulay Ahmed and Caroline Lima-Lane of Principal Financial Group. The content and opinions in this post are those of the third-party authors and AWS is not responsible for the content or accuracy of this post. With US contact centers that handle millions of customer calls annually, Principal Financial Group® …

Principal Financial Group accelerates build, test, and deployment of Amazon Lex V2 bots through automation Read More »