AWS Partner Network (APN) Blog

Discover how hybrid elasticity introduces a zero-migration data access model that decouples data residency from compute elasticity, enabling enterprises to transform existing data centers into dynamic hybrid data hubs with on-demand cloud scale without moving data.

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.

We are excited to highlight 169 AWS Partners that received new or renewed specializations in May for our global AWS Competency programs. 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.

Learn how Fovus, an AWS Advanced Technology Partner, eliminates the inefficiency of static Nextflow resource configurations by benchmarking each pipeline process individually and applying AI-powered orchestration to select optimal EC2 instance types, memory, storage, and parallel computing settings—delivering up to 85% cost savings on genomics workloads running on AWS.

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.

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.

We’re excited to announce the regional 2026 AWS Partners of the Year from Latin America. This year’s award winners have demonstrated exceptional innovation and commitment to customer success. Working side by side with AWS Partners has yielded remarkable results, and we’re excited to build upon these successes as we strengthen our partnerships throughout 2026.

Learn how AWS partners use the Hiring Side of Innovation (HSOI) program to cut hiring cycle time by 25–40%, shift from intuition-based to evidence-based recruiting, and expand access to underrepresented talent pools. This structured AWS enablement program aligns talent strategy with business objectives to deliver measurable outcomes — from headcount attainment and funnel conversion improvements to incremental revenue and a strengthened strategic partnership with AWS.

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.