Tag: Artificial Intelligence

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.

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.

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.

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.

Zafran’s Threat Exposure Management Platform, built on AWS services operationalizes continuous threat exposure management (CTEM) across hybrid-cloud environments addressing gaps that traditional periodic scanning can’t solve in today’s threat landscape. With attackers exploiting vulnerabilities within days or minutes, organizations need contextual, automated approaches. Learn how customers are achieving up to 94% reduction in critical vulnerabilities through Zafran’s prioritization and remediation workflows.

This post introduces SnapSoft’s AI gateway solution, which creates a fault-tolerant architecture by intelligently routing requests across multiple providers, AWS accounts, and Regions to ensure continuous operation even during peak demand. Learn how GDE-MIT, an EdTech platform serving thousands of students, migrated from a single-endpoint architecture to achieve high availability, substantial cost savings, and production-scale performance using this multi-provider approach.

Learn about Locobuzz, an AWS Advanced Technology Partner’s cloud-native architecture that integrates AWS services to process 1.2 billion customer interactions annually across 400+ global enterprises. The post details innovations like ResponseGenie™, AgentIQ™, ContextualPulse™, and CMOVerse™ that enable emotionally intelligent, multilingual customer engagement at scale.