Category: Artificial Intelligence

Integration complexity—not technology—remains the biggest barrier to deploying AI in supply chain operations, with custom API development consuming up to six months of engineering effort per project. Genpact’s Kinaxis MCP Server, built on Amazon Bedrock AgentCore, collapses that timeline from 12 weeks to just 3 days by replacing dozens of custom integrations with a single, secure interface powered by the Model Context Protocol standard. Learn how organizations running Kinaxis RapidResponse on AWS are achieving up to 18% improvement in forecast accuracy and 23% reduction in stockout rates—with enterprise-grade security and session isolation built in from day one.

The race to deploy AI agents is accelerating — and the organizations pulling ahead are those that build trust from day one. In this joint blog, PwC Australia and AWS deliver a practical blueprint for deploying AI agents safely at scale, answering the three critical questions your board will ask. Governance, observability, and auditability aren’t constraints on speed — they’re your competitive advantage.

Discover how Amazon Bedrock AgentCore and Temporal work together to transform experimental AI agents into mission-critical, production-grade infrastructure. Delivering enterprise durability, automatic error handling, and seamless multi-agent coordination at scale. Whether you’re managing long-running human-in-the-loop workflows or orchestrating complex financial advisory systems, this powerful combination bridges the gap between AI reasoning and reliable production systems.

Real-time AI agents are transforming how businesses make decisions—but only when they can access analytical data at conversational speed. This post shows you how to integrate ClickHouse Cloud with Amazon Quick using Model Context Protocol (MCP), delivering sub-second query responses across billions of data points. Learn how to empower your teams with natural language access to live operational data, enabling instant insights and actions without writing a single line of SQL.

By: Ranjith Raman, Principal Solutions Architect – AWS By: Anuj Dewangan, Principal Solutions Architect – AWS Adobe New product availability and integrations bring enterprise-grade agentic AI capabilities to marketers and developers, enabling seamless workflows across Adobe and AWS. Adobe and Amazon Web Services (AWS) today announced a strategic collaboration to accelerate enterprise adoption of agentic […]

The new open-source Amazon Lex connector for Cisco Webex Contact Center enables organizations to deploy AI-powered virtual agents within their existing Cisco environment without costly rebuilds, delivering natural voice interactions across 25+ languages while maintaining current workflows and systems. This integration combines AWS AI services including Amazon Lex, Amazon Polly, and Amazon Bedrock with Cisco’s contact center platform to provide immediate customer responses, reduce wait times, and allow agents to focus on complex interactions that require human expertise.

Inflectra, an AWS ISV Accelerate Partner, has developed Rapise—an AI-powered test automation platform that leverages Amazon Bedrock and Amazon Nova to address the testing bottleneck created by modern agentic coding tools. By automatically generating test scripts, adapting to application changes with self-healing capabilities, and providing intelligent defect detection, Rapise reduces QA cycle times by up to 70% while delivering audit-ready compliance tracking for regulated industries including healthcare, life sciences, and financial services.

Learn how WRITER, an AWS Partner, is transforming healthcare operations through a purpose-built enterprise AI platform designed for regulated environments. WRITER’s platform features over 100 prebuilt healthcare agents that automate high-burden workflows such as utilization management letters, clinical documentation, and RFP responses, freeing clinicians to focus on patient care.

AWS Partner Central agents—available in the new AWS Partner Central experience—automate administrative tasks and streamline opportunity management, helping you accelerate co-selling, optimize funding, and move deals forward faster.

This post highlights how organizations can adopt Code Ocean to empower research IT and equip scientists with a scalable, reproducible research platform. We’ll also highlight a real-world case study from the Allen Institute and introduce how research IT delivers secure, compliant access to agentic AI with Trusted Agents, which was recently launched in Code Ocean 4.0.