Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As customers scale their AI deployments,

In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However,

If you’re looking to enhance your content understanding and search capabilities, audio embeddings offer a powerful solution. In this post, you’ll learn how to use

You can use reinforcement Fine-Tuning (RFT) in Amazon Bedrock to customize Amazon Nova and supported open source models by defining what “good” looks like—no large

As organizations scale their AI workloads on Amazon Bedrock, understanding what’s driving spending becomes critical. Teams might need to perform chargebacks, investigate cost spikes, and

Content creators and organizations today face a persistent challenge: producing high-quality audio content at scale. Traditional podcast production requires significant time investment (research, scheduling, recording,

Building a text-to-SQL solution using Amazon Bedrock can alleviate one of the most persistent bottlenecks in data-driven organizations: the delay between asking a business question

Enterprises often struggle to onboard new team members at scale. Human resources (HR) teams spend time on manual tasks that delay productivity, such as processing

Agentic tool calling is what makes AI agents useful in production. It’s how they query databases, trigger workflows, retrieve real-time data, and act on a

Agentic generative AI assistants represent a significant advancement in artificial intelligence, featuring dynamic systems powered by large language models (LLMs) that engage in open-ended dialogue