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Here’s how you can use Google Search tools to study for classes and standardized tests. ​ 

Agents have evolved from simple chat applications to autonomous, long-running systems that dynamically discover and compose dozens of tools per task without human oversight. On the other side, service and content providers are moving from human-centric subscription-based, one-size-fits-all pricing to pay-per-use, per-execution models where costs are often a few cents. Today, agents are doing a

Amazon Quick embedded chat provides a conversational AI interface that you can integrate directly into your web application. Your users can ask questions, explore data, and get insights without leaving your application. However, a generic chat interface creates a disjointed experience. The chat interface must look and feel like a natural part of your application,

Vector-prompt classification on Amazon Bedrock helps insurance companies accurately classify thousands of daily documents: policies, affidavits, endorsements, and regulatory forms, for compliance, claims, and customer service. Manual classification is time-consuming and error-prone, while traditional automated approaches struggle with documents that look similar but serve different purposes. A policy endorsement and a regulatory affidavit might contain

If you’re managing a real-time feature store, you might be facing challenges such as data duplication, feature engineering, feature consistency, manual deployment, and latency. Jumio is an identity verification provider that helps businesses detect fraud and build digital trust. To provide these services in real time, Jumio’s machine learning (ML) models needed a real-time feature

Enterprises rely on large volumes of complex legal agreements to make critical business decisions — determining rights, renewal options, geographic restrictions, and compliance obligations. In industries like entertainment and media, where organizations manage thousands of contracts across multiple jurisdictions, this work remains largely manual: time-consuming, costly, and difficult to scale. Our AI-Driven Annotation (AIDA) solution,

Independent Software Vendors (ISVs) are expanding their offerings and adding AI agents. Common considerations for organizations when adding agentic workloads include security, scalability, time to market, and cost tracking. ISVs have another dimension, they provide services to other organizations and need to manage agentic workloads for each customer. As such, ISVs need to manage those

NVIDIA Nemotron 3.5 Lightning is designed for the fast, specialized model execution required by high-volume agentic workloads. With NVIDIA Nemotron 3.5 Lightning on Amazon SageMaker JumpStart, you can access an open model designed for high-volume agentic workloads. With this launch, you can deploy Nemotron 3.5 Lightning from Amazon SageMaker JumpStart without configuring the serving infrastructure

This post is a collaboration between AWS and the OpenClaw Foundation. Autonomous agents that browse the web, call APIs, and query Model Context Protocol (MCP) servers can encounter services that require an HTTP 402 Payment Required response to be settled before access continues. To use those services without pausing for a human at every transaction,

Google Gemini and Pixel partner with five global football clubs to elevate the fan matchday experience through AI and Smartphone Technology. ​