Blog

Building cohesive and unified customer intelligence across your organization starts with reducing the friction your sales representatives face when toggling between Salesforce, support tickets, and Amazon Redshift. A sales representative preparing for a customer meeting might spend hours clicking through several different dashboards—product recommendations, engagement metrics, revenue analytics, etc. – before developing a complete picture …

Build unified intelligence with Amazon Bedrock AgentCore Read More »

The generative AI industry has undergone a significant transformation from using large language model (LLM)-driven applications to agentic AI systems, marking a fundamental shift in how AI capabilities are architected and deployed. While early generative AI applications primarily relied on LLMs to directly generate text and respond to prompts, the industry has evolved from those …

Evaluating AI agents: Real-world lessons from building agentic systems at Amazon Read More »

Lyria 3 is now available in the Gemini app. Create custom, high-quality 30-second tracks from text and images. ​ 

An overview of Google’s new global partnerships and funding announcements at the AI Impact Summit in India. ​ 

A look at the partnerships and investments Google announced at the AI Impact Summit 2026. ​ 

A look at our 2026 Responsible AI Progress Report. ​ 

The release of Anthropic Claude Sonnet 4.5 in the AWS GovCloud (US) Region introduces a straightforward on-ramp for AI-assisted development for workloads with regulatory compliance requirements. In this post, we explore how to combine Claude Sonnet 4.5 on Amazon Bedrock in AWS GovCloud (US) with Claude Code, an agentic coding assistant released by Anthropic. This …

Supercharge regulated workloads with Claude Code and Amazon Bedrock Read More »

AI agents that browse the web need more than basic page navigation. Our customers tell us they need agents that maintain session state across interactions, route traffic through corporate proxy infrastructure, and run with custom browser configurations. AgentCore Browser provides a secure, isolated browser environment for your agents to interact with web applications. Until now, …

Customize AI agent browsing with proxies, profiles, and extensions in Amazon Bedrock AgentCore Browser Read More »

Organizations face significant challenges in making their recruitment processes more efficient while maintaining fair hiring practices. By using AI to transform their recruitment and talent acquisition processes, organizations can overcome these challenges. AWS offers a suite of AI services that can be used to significantly enhance the efficiency, effectiveness, and fairness of hiring practices. With …

AI meets HR: Transforming talent acquisition with Amazon Bedrock Read More »

AI agents are rapidly evolving from mere chat interfaces into sophisticated autonomous workers that handle complex, time-intensive tasks. As organizations deploy agents to train machine learning (ML) models, process large datasets, and run extended simulations, the Model Context Protocol (MCP) has emerged as a standard for agent-server integrations. But a critical challenge remains: these operations …

Build long-running MCP servers on Amazon Bedrock AgentCore with Strands Agents integration Read More »