Category: Amazon Bedrock

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.

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.

Healthcare organizations face rising costs and provider burnout while managing increasing patient demands. Validic’s connected care solution on AWS transforms healthcare delivery by integrating data from 600+ devices with EHR systems, enabling remote patient monitoring and AI-powered insights. Learn how this AWS Advanced Partner helps healthcare providers reduce administrative burden while improving patient outcomes through proactive, data-driven care.

Splunk and Amazon Bedrock’s integration addresses the challenge of analyzing vast machine data effectively. By bringing external foundation models into Splunk workflows, security analysts can automatically extract contextual insights from raw events, correlate information across sources, and translate complex findings into clear next steps—all without specialized AI expertise. This helps organizations find security threats faster and focus security teams on high-priority work while maintaining their security posture.

Learn how NeuBird, an AWS Advanced Technology Partner, offers Hawkeye, a GenAI-powered SRE assistant that helps IT teams automate incident response and troubleshooting in AWS environments. Hawkeye leverages Amazon Bedrock’s foundation models to automatically correlate telemetry data across AWS services, reducing Mean Time To Resolution by up to 90% while seamlessly integrating with Amazon CloudWatch and other AWS observability tools.

Digital marketing teams face mounting pressure to deliver content faster while managing operational tasks, limiting their ability to innovate customer experiences. Gradial, an AWS partner, offers a solution by automating the content supply chain, enabling marketers to prioritize strategy and quality. Gradial’s platform leverages generative AI powered by Amazon Nova foundation models to revolutionize content operations for the future.

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 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.