AWS Partner Network (APN) Blog

Category: Amazon Bedrock

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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Lowering customer acquisition cost with Moneythor on AWS

Learn how Moneythor’s solution on AWS lowers customer acquisition cost and increases customer engagement through personalization and gamification in financial services by leveraging Amazon EKS, Amazon RDS and Amazon Bedrock.

Celebrating Innovation: Announcing the 2025 Amazon Nova Partner Demo Competition Winners

At the 2025 Amazon Nova Partner Demo Competition, AWS Partners showcased innovative solutions using Amazon Nova foundation models to address customer challenges across industries. The competition highlighted Partners’ focus on Healthcare & Life Sciences and Financial Services sectors, leveraging Nova’s advanced AI capabilities.

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How to Accelerate AWS Cloud Migration with Solace PubSub Solution

While cloud adoption accelerates, many industries still rely on legacy systems for critical workloads. This blog explores how Solace’s PubSub+ facilitates cloud migrations using the Strangler Fig pattern and a data-first approach. PubSub+ enables seamless, real-time data movement across hybrid environments, helping enterprises modernize without disrupting business continuity. Learn how this IDC-recognized event-driven solution addresses key migration challenges.

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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.

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Accelerate Product Growth with Amplitude AI Agents and Amazon Bedrock

Discover how Amplitude’s integration with Amazon Bedrock enables AI-powered product analytics to help organizations automatically detect user friction points, recommend solutions, and implement changes in real time. Learn how this AWS Partner solution transforms analytics from a reactive to proactive process, helping teams drive product growth through automated insights and experimentation. Amplitude has collaborated with AWS to introduce Amplitude AI Agents powered by Amazon Bedrock, transforming traditional product analytics into an automated, proactive process that helps organizations bridge the gap between detecting user behavior issues and taking action. The solution enables product teams to automatically identify friction points, optimize marketing campaigns in real time, and scale experimentation without increasing headcount, while freeing data teams to focus on strategic initiatives rather than routine analysis.

Shorthills AI teams with AWS and DataStax to transform Enterprise Data Search

This post explains how Shorthills AI’s collaboration with AWS and DataStax’s Astra DB employs advanced search technologies and natural language processing for enterprise search. This collaboration supports customers making data driven business decisions by leveraging AWS’s enterprise-grade security features alongside DataStax’s high-performance vector search capabilities.

The Future of Hyper-Personalization Powered by Braze and AWS Generative AI

The Future of Hyper-Personalization Powered by Braze and AWS Generative AI

Hyper-personalization is transforming digital marketing and enhancing customer experience. This blog post explains how the Braze customer engagement platform, augmented by Amazon Web Services (AWS) Generative AI services, revolutionizes your brand-customer interactions. By integrating Braze with AWS’s advanced AI capabilities, you can forge more meaningful, real-time connections with your customers. Using Amazon Bedrock, Braze creates highly personalized content that adapts to your customers’ individual preferences and behaviors in real time. This approach facilitates tailored messaging, recommendations, and interactions that resonate deeply with each user, driving immediate engagement, long-term loyalty, and revenue growth. In this post, we’ll explore how strategically integrating Braze and AWS transformed customer engagement strategies, fostering a more personalized and profitable customer journey.