AWS Partner Network (APN) Blog

Learn about new initiatives launched at re:Invent 2024 and how these innovations will streamline co-selling with AWS, enhance collaboration opportunities, accelerate selling Partner solutions in AWS Marketplace and beyond, and leverage cutting-edge AI technologies to drive unprecedented growth.

Life sciences manufacturers face challenges in maintaining consistent production operations while meeting strict regulatory requirements. Many customers need to run their Manufacturing Execution Systems (MES) on-premises, but still want to benefit operationally from using managed cloud services and maintaining a consistent software stack across their on-premise and cloud environments. AWS Outposts is a family of fully managed solutions delivering AWS infrastructure and AWS services into virtually any on- premises, colocation, or edge location for a consistent hybrid experience.

Learn how an AWS Advanced Technology Partner, Langfuse, offers an open-source LLM engineering platform that helps developers monitor, debug, analyze, and iterate on their LLM applications. Langfuse LLM engineering platform helps enterprises gain visibility into their LLM applications while seamlessly integrating with Amazon Bedrock and other popular AI frameworks.

Learn how to implement a Zero Trust strategy that takes security a step beyond traditional, perpetual access permissions by continually verifying credentials and access permissions based on the latest threat intelligence, and revoking access when a threat is detected. This post covers how StrongDM’s Just-in-Time access secures AWS data plane resources such as Amazon Redshift, Amazon EC2 instances and Amazon Elastic Kubernetes Service while supporting Zero Trust principles.

By Paramdeep Singh, Co-Founder – Shorthills AI, By Ganesh Sawhney, Sr Partner Solutions Architect – AWS, By Henry Issac Mudumala, APJ Lead Strategic Partnerships – Datastax DataStax Introduction Extracting value from unstructured data remains a challenge for organizations. They struggle to extract value from emails, reports, legal documents, and other digital assets, which delays decision-making. […]

The challenge for clinicians involves the secure management and analysis of patient data from various medical sensors and monitoring devices. Learn how Vivalink’s Biometrics Data Platform on AWS is transforming patient care through secure, scalable, and intelligent biometric data management.

This blog explores how Cloud Native Qumulo (CNQ) on AWS enables organizations to modernize and scale their cloud-based file storage infrastructure. By leveraging AWS’s cloud-native architecture, CNQ ensures compatibility across hybrid environments, providing cost-efficient, high-performance storage solutions for demanding workloads, including AI, HPC, and large-scale data management.

Adobe Experience Platform, AWS, and Merkle’s Bring Your Own Model (BYOM) accelerator are transforming customer experience personalization at scale. This integration combines AEP’s data foundation, AWS’s enterprise AI capabilities, and Merkle’s ML model integration to deliver highly targeted customer experiences. The solution enables organizations to reduce implementation costs by 60% while leveraging custom ML models and generative AI for enhanced customer engagement

Discover how integrating Tealium CDP with Amazon Connect transforms customer service by bringing real-time digital journey insights directly to your contact center. Understand a reference architecture for seamlessly incorporating customer behavior data from web, mobile, and connected devices into Amazon Connect. See how this integration empowers agents with contextual intelligence, reduces resolution times, and delivers hyper-personalized experiences that drive customer satisfaction.

Micronbrane Medical partnered with Basepair, an AWS Partner Network member, to develop PaRTI-Seq Analysis, a streamlined mNGS platform that overcomes traditional metagenomic sequencing challenges through user-friendly bioinformatics analysis. This white-labeled, secure, and affordable solution processes complex genomic data in just 30 minutes, allowing laboratory without advanced programming or computing skills to access advanced metagenomic analysis.

AWS and Intel are collaborating to make Large Language Models (LLMs) more accessible and cost-effective for enterprises by running Small Language Models (SLMs) directly on CPUs. By offering distilled versions of models like DeepSeek-R1, they enable efficient, cost-effective deployments that maintain high performance while running on standard hardware.