Category: Intermediate (200)

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.

Viseven’s eWizard platform, built on AWS, addresses the growing challenges in life sciences content management by offering an innovative solution that combines AI-powered capabilities, modular content management, and seamless integration with existing systems to deliver personalized customer experiences at scale. The platform leverages various AWS services, including Amazon Translate, Amazon Comprehend Medical, and Amazon Personalize, to help life sciences organizations streamline their content operations, resulting in improved efficiency, reduced costs, and better customer engagement across global markets.

Organizations today struggle with managing vast amounts of operational data across their infrastructure. Cribl, an AWS Partner Network member, offers solutions to handle this data explosion through efficient collection, processing, and routing capabilities. By integrating Cribl Search with Amazon Managed Grafana’s visualization tools, organizations can transform raw data into actionable insights through intuitive dashboards, enabling faster, more informed decision-making at scale for both cloud infrastructure and application management.

Modern infrastructure produces massive amounts of telemetry data, yet understanding what matters in real-time remains challenging for operations teams. Netdata addresses this with its new AI-powered feature, Netdata Insights, which leverages Amazon Bedrock and Anthropic Claude Sonnet to bring context-aware, actionable analysis to infrastructure monitoring. Through AI-generated reports, teams can quickly analyze capacity planning, optimize performance, and investigate anomalies in their systems.

The NIS2 Directive enhances EU cybersecurity across critical sectors. Learn how Netop provides an integrated solution, run on AWS, that helps customers align with NIS2 Directive goals. Discover how Netop helps address the challenges of NIS2, supporting cybersecurity resilience across critical sectors within the EU.

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.

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.

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.

Life sciences organizations invest significantly in real-world data (RWD), yet face persistent challenges in turning these investments into actionable insights. Panalgo’s IHD Cloud platform on AWS addresses these challenges by deploying advanced analytics capabilities directly within customers’ secure environments. Through this approach, organizations have reduced analysis time from months to days while maintaining strict data security and regulatory compliance standards.