AI

Helping data centers deliver higher performance with less hardware

To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains underutilized due to performance variability across the devices. MIT researchers have now developed a system that boosts the performance of storage devices by handling three major

Helping data centers deliver higher performance with less hardware Read More »

Build AI-powered employee onboarding agents with Amazon Quick

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 documents to answering repeated questions about benefits and policies. For organizations with many new hires, these steps make it harder to keep onboarding consistent and compliant. Organizations lose substantial amounts

Build AI-powered employee onboarding agents with Amazon Quick Read More »

Accelerate agentic tool calling with serverless model customization in Amazon SageMaker AI

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 user’s behalf. But base models frequently hallucinate tools, pass bad parameters, and attempt actions when they should ask for clarification. These failures erode trust and block production deployment. You can

Accelerate agentic tool calling with serverless model customization in Amazon SageMaker AI Read More »

Building Intelligent Search with Amazon Bedrock and Amazon OpenSearch for hybrid RAG solutions

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 and tackle complex tasks. Unlike basic chatbots, these implementations possess broad intelligence, maintaining multi-step conversations while adapting to user needs and executing necessary backend tasks. These systems retrieve business-specific data

Building Intelligent Search with Amazon Bedrock and Amazon OpenSearch for hybrid RAG solutions Read More »

From isolated alerts to contextual intelligence: Agentic maritime anomaly analysis with generative AI

This post is co-written with Arad Ben Haim and Hannah Danan Moise from Windward. Windward is a leading Maritime AI company, delivering mission-grade, multi-source intelligence for maritime-based operations. By fusing Automatic Identification System (AIS) data, remote sensing signals, proprietary AI models, and generative AI, Windward provides a 360° view of global maritime activity so defense

From isolated alerts to contextual intelligence: Agentic maritime anomaly analysis with generative AI Read More »

Connecting MCP servers to Amazon Bedrock AgentCore Gateway using Authorization Code flow

Amazon Bedrock AgentCore Gateway provides a centralized layer for managing how AI agents connect to tools and MCP servers across your organization. It consolidates authentication, observability, and policy enforcement into a single endpoint, removing the need to configure and secure each MCP server connection individually. In this post, we walk through how to configure AgentCore

Connecting MCP servers to Amazon Bedrock AgentCore Gateway using Authorization Code flow Read More »