Category: Learning Levels

Learn how an AWS Advanced Technology Partner, Langfuse, offers an open-source LLM engineering platform that helps developers monitor, debug, analyze, and iterate on their LLM applications. Langfuse LLM engineering platform helps enterprises gain visibility into their LLM applications while seamlessly integrating with Amazon Bedrock and other popular AI frameworks.

The challenge for clinicians involves the secure management and analysis of patient data from various medical sensors and monitoring devices. Learn how Vivalink’s Biometrics Data Platform on AWS is transforming patient care through secure, scalable, and intelligent biometric data management.

This blog explores how Cloud Native Qumulo (CNQ) on AWS enables organizations to modernize and scale their cloud-based file storage infrastructure. By leveraging AWS’s cloud-native architecture, CNQ ensures compatibility across hybrid environments, providing cost-efficient, high-performance storage solutions for demanding workloads, including AI, HPC, and large-scale data management.

Discover how integrating Tealium CDP with Amazon Connect transforms customer service by bringing real-time digital journey insights directly to your contact center. Understand a reference architecture for seamlessly incorporating customer behavior data from web, mobile, and connected devices into Amazon Connect. See how this integration empowers agents with contextual intelligence, reduces resolution times, and delivers hyper-personalized experiences that drive customer satisfaction.

GYTPOL helps maintain continuous CIS compliance for Amazon EC2 instances through lightweight agents and AWS Security Hub integration. The solution provides real-time monitoring and flexible remediation options to address security misconfigurations across production servers, critical applications, and test environments. This comprehensive approach ensures security best practices are followed while allowing organizations to meet their benchmark goals without disrupting business operations.

This blog post discusses how MongoDB has enhanced the indexing capabilities of its Atlas Search service by leveraging Amazon S3. The new approach allows MongoDB to significantly reduce the time required to rebuild search indexes, achieving a 14x improvement compared to the previous method. By periodically capturing snapshots of the search indexes in Amazon S3, MongoDB can quickly restore the latest index state during deployments, scaling, and recovery, improving search availability for customers.

GoML, an AWS Advanced Consulting Partner, collaborated with a leading Asian EdTech organization to revolutionize exam preparation through AI. Their Amazon Bedrock-powered solution helps students prepare for competitive exams like JEE Advanced, NEET, and Gaokao. The platform achieves 95% accuracy in solving complex questions while reducing student preparation time by 80%, delivering precise, step-by-step solutions that enhance learning outcomes.

Customer expectations are rising, and delivering seamless, AI-enhanced support is now essential. Discover how the Accenture AWS Business Group (AABG) is transforming contact center operations with their Connected Customer Experience (CCE) offering on AWS. Learn how generative AI-driven capabilities empower agents and enhance customer interactions, driving efficiency and modernization for businesses.

Based on Knowit’s ADAM guide, this blog post provides practical insights and strategies for achieving GDPR compliance in AWS environments, including essential frameworks for managing compliance obligations and leveraging AWS features and services. The post outlines a structured seven-step approach to systematically assess and document GDPR compliance while emphasizing the importance of understanding data controller and processor roles, encryption requirements, and cross-border data transfer considerations.

The Agent AI Ally solution revolutionizes call center operations by harnessing generative AI to provide agents with real-time, contextual support and product information during customer interactions. Powered by Anthropic’s Claude 3.5 Sonnet model through Amazon Bedrock, the solution delivers instant insights and suggestions while analyzing customer responses in real-time. This comprehensive platform integrates key AWS services including Amazon Connect, Transcribe, and Kendra to create a powerful system that enhances agent performance and customer satisfaction through AI-driven assistance and efficient data processing