Category: Artificial Intelligence

DeepBrain AI, in collaboration with AWS, introduces AI Detector, a pioneering solution that accurately identifies AI-generated content in real-time. Built on AWS services including Amazon EKS and Amazon Rekognition, AI Detector offers enterprise-grade accuracy, speed, and security compliance, empowering organizations to maintain digital trust.

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.

The journey from open source project to profitable business presents unique challenges in today’s technology landscape. While traditional software companies directly monetize their code, open source founders face the complex task of balancing community engagement with commercial viability. AWS has developed a comprehensive framework to support open source projects through this transition, bridging the gap between open source software and enterprise solutions. Through the AWS Global Startup Program (GSP), AWS provides critical support in two key areas: developing enterprise-ready offerings and executing comprehensive go-to-market strategies. This can include technical expertise, dedicated architectural support, and market acceleration with the AWS Marketplace. The program helps startups create managed services that make open source technology simpler, more stable, and secure while maintaining community trust.

This blog highlights the approach Trellix took to accelerate the development and testing of product integrations and automated rules development. Using agentic AI methodology, Trellix is able to save over 40 hours of development time per integration resulting in a 90% reduction time to market. Trellix used Amazon Bedrock, LangChain, and Anthropic Claude in this effort.

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.

Legacy COBOL applications can be modernized and expanded with AI and ML using Amazon EKS. By containerizing COBOL applications and running them on EKS, organizations can preserve their existing critical systems logic while adding advanced cloud capabilities like flexibility, scalability, and efficiency—without starting from scratch.

Artificial intelligence (AI) and Large Language Models (LLMs) are driving efficiency gains across the financial services and banking industry. Aisera’s AI Agent Platform, powered by AWS, is transforming financial services operations through domain-specific LLMs and AI agents. Learn how Aisera’s domain-specific LLMs and AI agents help customers achieve efficiency gains and improve customer service delivery through multi-agent collaboration.

Explore how Appian’s AI Copilot, powered by Amazon Bedrock is built directly into the Appian platform to assist both business users and developers in common tasks. For business users, AI CoPilot enables conversational data interaction through Records Chat feature, to help find patterns and trends from real-time data, and provides quick access to business specific documents through the Enterprise Copilot. Whereas, for developers, AI Copilot accelerates application development by assisting in requirements gathering to data modeling, UX design and object generation, while also automating test case creation and generating realistic sample data for testing.

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.