Tag: Generative AI

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 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.

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.

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.

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.

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.

This blog post shows how Infor uses generative AI services on Amazon Web Services (AWS) to help customers speed up productivity and solve industry-specific challenges

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.

As customer expectations evolve and data volumes grow exponentially, organizations face unprecedented challenges in managing and activating customer data effectively. Snowplow, a behavioral data collection platform, combined with Databricks Lakehouse platform, creates a scalable foundation for building a next-generation composable CDP on AWS. This solution enables organizations to collect, process, and activate customer data at scale while maintaining complete data ownership and control.

Tresle.ai, using over 49 AWS services, delivers a complete generative AI platform that enables businesses to harness AI capabilities for personalized recommendations, content generation, and data insights. With advanced vector search technology at its core, the platform makes it effortless for companies to integrate AI into their applications and uncover meaningful relationships across diverse datasets.