Tag: Generative AI

AWS Generative AI Innovation Center launches Partner Innovation Alliance (PIA) ISV Pods, pairing ISVs with PIA partners to accelerate enterprise-grade generative AI solutions. This strategic program addresses growing demand for industry-specific and horizontal AI capabilities, focusing on agentic AI development. With structured enablement, expert guidance, and go-to-market support, ISV Pods are set to pioneer the next wave of AI innovation, transforming businesses across industries.

Tacnode Context Lake, built on AWS, powers real-time AI systems by providing instant access to unified, live data for AI applications. This technical post demonstrates how Tacnode leverages key AWS services to achieve sub-millisecond data access latency while maintaining enterprise-grade scalability and reliability for mission-critical AI operations.

Generative AI is rapidly transforming how enterprises operate, but security remains a critical concern. According to the Zscaler ThreatLabz 2025 AI Security Report, while AI/ML tool usage has surged 36x year-over-year, 60% of this traffic was blocked due to security concerns. This post demonstrates how AWS and Zscaler’s integrated security controls help protect AI workloads while maintaining compliance and data protection.

Harbor Pilot is an agentic AI system built on AWS in close collaboration with AWS OneTeam, designed to automate identity management tasks using natural language input. Within 30 days of release, over 50% of customers adopted the solution, which helps reduce manual workflow creation from hours to minutes while integrating with SailPoint’s Identity Security Cloud.

This blog post explores how combining Couchbase vector search capabilities with Amazon Bedrock’s foundation models creates a powerful, Serverless Retrieval Augmented Generation (RAG) solution that enables organizations to enhance AI interactions with their specialized knowledge while reducing operational overhead. The Serverless architecture, which integrates Couchbase Capella, Amazon Bedrock, AWS Lambda, and Amazon API Gateway, allows organizations to build intelligent applications that deliver contextually relevant responses while maintaining cost efficiency through automatic scaling and pay-per-use pricing.

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.

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.

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.