Scaling agentic AI: Enterprise patterns without vendor lock-in
The second post in an AWS multi-agent series examines patterns that let ML teams run many agentic AI systems across diverse frameworks, models, and providers without vendor lock-in.
13 articles tagged with “multi-agent”.
The second post in an AWS multi-agent series examines patterns that let ML teams run many agentic AI systems across diverse frameworks, models, and providers without vendor lock-in.
AWS outlines a multi-agent document classification approach on Amazon Bedrock that combines text analysis with Claude Haiku 4.5 and visual similarity search using Titan Multimodal Embeddings to classify insurance documents.
Cybersecurity SaaS provider Axonius used Amazon Bedrock AgentCore to deploy fully isolated, multi-tenant AI agents across hundreds of customer environments.
AWS describes building multi-agent workflows using OpenAI-compatible SageMaker AI endpoints and Bedrock AgentCore runtime, with each agent using a model suited to its task.
This blog post details how to develop a multi-agent system for M&A due diligence using Amazon Bedrock AgentCore, including architecture and deployment.
LendingTree developed a production mortgage assistant on Amazon Bedrock using three coordinated agents to deliver 24/7 personalized guidance while meeting financial-services compliance.
Google DeepMind introduced Gemini Robotics ER 2, a model aimed at helping robots reason, collaborate, and solve real-world tasks through improved video understanding and tool orchestration.
An AWS blog post details architecting a multi-agent market surveillance system using LangGraph for orchestration and Strands for agent reasoning on Amazon Bedrock AgentCore.
This article discusses the lessons learned from building the Shippy agent, focusing on design principles for effective AI agents.
AWS details how Thrad.ai deployed a multi-agent system using Strands Agents and Amazon Bedrock AgentCore to automate prospect discovery and personalized email generation, with benchmarks on two orchestration patterns.
An AI agent is a language model given tools and a loop, so it can take actions instead of just talking. Here is how they actually work, where they help, and where the hype outruns reality.
KTern.AI transformed its SaaS platform into an agentic AI system for SAP, built on Amazon Bedrock AgentCore with the Strands Agents SDK to orchestrate multiple specialized agents.
The center of gravity in AI has shifted from chat to action: agents that plan, use tools, and complete multi-step work. What's real today, what's hype, and what to watch.