Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI strategy. It offers a straightforward, fast, and secure way to develop advanced generative AI applications and experiences to drive...

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. However, before it can be deployed, there is the typical production readiness assessment that includes concerns...

Attaching a custom Docker image to an Amazon SageMaker Studio domain involves several steps. First, you need to build and push the image to Amazon Elastic Container Registry (Amazon ECR). You also need to make sure that the Amazon...

The rise of AI has opened new avenues for enhancing customer experiences across multiple channels. Technologies like natural language understanding (NLU) are employed to discern customer intents, facilitating efficient self-service actions. Automatic speech recognition (ASR) translates spoken words into...

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers...

Security teams in highly regulated industries like financial services often employ Privileged Access Management (PAM) systems to secure, manage, and monitor the use of privileged access across their critical IT infrastructure. Security and compliance regulations require that security teams...