Gen AI News Talk
Accelerate benefits claims processing with Amazon Bedrock Data Automation
In the benefits administration industry, claims processing is a vital operational pillar that makes sure employees and beneficiaries receive timely benefits, such as health,...
How PropHero built an intelligent property investment advisor with continuous evaluation using Amazon Bedrock
This post was written with Lucas Dahan, Dil Dolkun, and Mathew Ng from PropHero.
PropHero is a leading property wealth management service that democratizes access...
DoWhile loops now supported in Amazon Bedrock Flows
Today, we are excited to announce support for DoWhile loops in Amazon Bedrock Flows. With this powerful new capability, you can create iterative, condition-based...
Build multi-agent site reliability engineering assistants with Amazon Bedrock AgentCore
Site reliability engineers (SREs) face an increasingly complex challenge in modern distributed systems. During production incidents, they must rapidly correlate data from multiple sources—logs,...
Building health care agents using Amazon Bedrock AgentCore
This blog was co-authored with Kuldeep Singh, Head of AI Platform at Innovaccer.
The integration of agentic AI is ushering in a transformative era in...
Move your AI agents from proof of concept to production with Amazon Bedrock AgentCore
Building an AI agent that can handle a real-life use case in production is a complex undertaking. Although creating a proof of concept demonstrates the...
Prompting for precision with Stability AI Image Services in Amazon Bedrock
Amazon Bedrock now offers Stability AI Image Services: 9 tools that improve how businesses create and modify images. The technology extends Stable Diffusion and...
Scale visual production using Stability AI Image Services in Amazon Bedrock
This post was written with Alex Gnibus of Stability AI.
Stability AI Image Services are now available in Amazon Bedrock, offering ready-to-use media editing capabilities...
Use AWS Deep Learning Containers with Amazon SageMaker AI managed MLflow
Organizations building custom machine learning (ML) models often have specialized requirements that standard platforms can’t accommodate. For example, healthcare companies need specific environments to...
Monitor Amazon Bedrock batch inference using Amazon CloudWatch metrics
As organizations scale their use of generative AI, many workloads require cost-efficient, bulk processing rather than real-time responses. Amazon Bedrock batch inference addresses this...
