AWS Partner Network (APN) Blog

Tag: Generative AI

Modernizing Healthcare with Generative Voice AI Using Deepgram on AWS

The blog discusses how Deepgram’s voice AI technology, integrated with AWS services, is modernizing healthcare by reducing administrative burdens on medical professionals. The solution uses Deepgram Nova-3 Medical for accurate medical transcription, Amazon Bedrock for AI orchestration, and Amazon EKS for deployment. Two deployment options are available: self-hosted on AWS or SaaS. Key applications include AI medical scribes, automated prescriptions, logistics enhancement, and intelligent scheduling.

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Privacy-Preserving for Federated Learning with TII PetalGuard on AWS

Technology Innovation Institute (TII), an AWS Partner in the Middle East, advances privacy-preserving AI with their enhanced Federated Learning solution, PetalGuard. The solution enables organizations to collaborate on AI model development while maintaining strict data privacy and regulatory compliance. Learn how PetalGuard this development exemplifies TII’s position as a leading technology innovator in the Middle East and demonstrates the value of our strategic collaboration in delivering cutting-edge solutions for privacy-preserving AI development.

Zilliz Cloud Enterprise Vector Search Powers High-Performance AI on AWS

This blog explores how enterprises can leverage Zilliz Cloud on AWS to build scalable vector search infrastructure for their Amazon Bedrock applications. As organizations deploy more foundation models, they require a robust, fully managed vector database service that delivers secure and lightning-fast AI-powered search capabilities. Zilliz Cloud on AWS meets these demands by offering unparalleled performance, enterprise-grade security, and seamless scalability.

AWS Partner Guide to AI Agents and Tools in AWS Marketplace

AWS Marketplace announces AI Agents and Tools, offering hundreds of agent solutions including pre-built agents, agent tools, and professional services to help enterprises adopt and govern autonomous systems. Partners can now leverage new API-based and container-based delivery methods to package and scale their AI agent solutions directly to AWS customers.

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Rapidly Build a Generative AI Landing Zone on AWS

The blog introduces a five-layer Generative AI Landing Zone architecture on AWS that helps organizations quickly implement and scale AI capabilities while maintaining security and compliance standards. The solution addresses key challenges like compliance delays, pilot-to-production gaps, and limited visibility through features such as automated guardrails, same-day sandboxes, reusable blueprints, built-in observability, and continuous governance.

Securing AI: AWS Marketplace and Partner Solutions from Adoption to Protection

Forty-five percent of IT decision-makers rank generative AI tools as their top budget priority for 2025. Explore how AWS Partners help organizations secure their AI initiatives through comprehensive security solutions that address data privacy, model integrity, and emerging AI-specific vulnerabilities.

Accelerate Your Public Sector Practice: Updates and Key Partner Programs

Learn about the latest updates announced at AWS Summit Washington, DC, including enhanced Government Competency benefits and new Partner Transformation Program modules. Discover key programs and resources designed to help AWS Partners build, market, and grow their public sector practice—from co-selling opportunities to digital sovereignty solutions.

Running GenAI Inference with AWS Graviton and Arcee AI Models

The growing demand for generative AI (GenAI) applications has led to a corresponding demand for compute resources that can run these workloads efficiently. In this post we share a step-by-step guide for optimizing GenAI inference workloads using AWS Graviton-based instances. We walk you through downloading Arcee AI SLMs, applying quantization techniques, and deploying models for efficient inference on AWS Graviton instances.

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AI-Driven DevOps: Quality and Compliance with Inflectra and Amazon Bedrock

In today’s fast-paced digital landscape, the integration of AI in DevOps is changing how organizations balance innovation with compliance requirements. Generative AI tools have enhanced developer productivity, with estimates suggesting up to 45% improvement in efficiency, while creating new challenges for quality control and regulatory compliance. Through solutions like SpiraTeam from Inflectra, organizations can now leverage AI to modernize their quality and compliance processes while maintaining rigorous safety standards, particularly crucial for regulated industries like healthcare, finance, and utilities.