Category: Amazon Machine Learning

Accenture and AWS are closing the data readiness gap that stalls most enterprise AI initiatives with three new agentic AI solutions—now available in AWS Marketplace—that autonomously discover, migrate, govern, and make enterprise data consumable for generative AI and agentic applications. Built on Amazon Bedrock AgentCore and backed by 16 years of partnership experience, these solutions help organizations turn fragmented, legacy data estates into strategic assets ready for agentic AI at enterprise scale.

What if one database could handle transactions, analytics, and semantic vector search for your AI agents—all without managing separate systems? TiDB Cloud on AWS, integrated with Amazon Bedrock, delivers a unified, serverless architecture purpose-built for the demands of autonomous AI. In this post, PingCAP and AWS walk you through the reference architecture, real-world use cases, and the key design decisions to make your generative AI applications production ready using the TiDB console.

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.

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.

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.