AWS Partner Network (APN) Blog

Tag: AWS Competency Partners

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How DXC Technology upgraded Angular and .NET applications with Amazon Q Developer

Learn how DXC Technology used Amazon Q Developer to help its customer modernize over 80 microservices and multiple micro-frontend applications, upgrading from older Angular and .NET versions while achieving a 60–75% reduction in overall upgrade effort. By combining structured prompt engineering with AI-driven automation, DXC transformed a high-risk, months-long modernization initiative into a fast, secure, and scalable success, saving an estimated 1,200 to 1,400 developer hours while strengthening security and compliance across the platform.

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Transform enterprise visual content with Amazon Nova and Bria Fibo

Learn how the integration of Amazon Nova multimodal intelligence with Bria Fibo’s deterministic visual foundation model solves the enterprise challenges of unpredictable outputs, inconsistent branding, and legal uncertainty in AI image generation. This post explores how structured Visual Generation Language (VGL) and 100% licensed training data deliver reproducible, brand-consistent visuals at scale—transforming generative AI from an experimental technology into a production-ready content pipeline available in AWS Marketplace and Amazon SageMaker AI.

From legacy to AI-powered: Transform your customer experience with Amazon Connect Customer Competency Partners

We’re announcing the Amazon Connect Customer Competency, helping customers find validated Partners who can migrate legacy contact centers and build AI-powered customer experiences on Amazon Connect. Benefits include $50K in Marketing Development Funds, AWS Migration Acceleration Program funding, and dedicated co-selling support to accelerate customer transformations.

Accelerate customer outcomes with the AWS Business Value Realization motion

Customers are shifting toward outcome-based engagements—and they’re willing to pay a premium for Partners who can prove results. We’re introducing the Business Value Realization (BVR) motion, which provides Services Partners with funding, enablement resources, and specialized support to lead post-sales customer success.

Bring context from the physical world to AI with Wherobots on AWS

Most AI systems today have no direct understanding of the physical world because the underlying spatial data requires purpose-built preprocessing before AI can use it. By using Wherobots, built on AWS, you can transform petabyte-scale spatial data in Amazon S3 into context that AI can reason about through distributed inference, a spatial query engine, and agentic AI integrations. Learn how customers like Leaf Agriculture, SatSure, and Aarden use Wherobots on AWS to operationalize earth observation data, accelerate spatial processing by up to 300 times, and build AI systems grounded in physical reality.

Accelerate vendor evaluation with AWS Specializations and AWS Marketplace

AWS Specializations and AWS Marketplace Vendor Insights work together to transform vendor evaluation. By combining rigorous, domain-specific technical validations from AWS across more than 115 solution areas with continuously updated security posture dashboards, these complementary mechanisms give procurement, security, and technical teams the objective, structured information they need to make confident vendor selection decisions. Learn how a multilayered validation framework—pairing pre-vetted partner capabilities with real-time compliance monitoring—can help you move faster from discovery to decision while reducing your organization’s due diligence efforts.

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Accenture and AWS accelerate data transformation with agentic AI

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.

Accelerating supply chain AI with Kinaxis MCP on Amazon Bedrock AgentCore

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.

Say Hello

Say Hello to 158 New AWS Competency Partners Added in April

We are excited to highlight 158 AWS Partners that received new or renewed specializations in April for our global AWS Competency program. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

How ClickHouse powers real-time AI Agents on Amazon Quick

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.