Category: Thought Leadership

In this post, we explain how Dynatrace provides end-to-end monitoring and visibility into generative AI applications utilizing Amazon Bedrock models allowing for comprehensive LLM observability.

Learn how to build a Generative AI assistant to simplify complex data analysis with Splunk, by converting conversational requests into optimized Splunk SPL queries for AWS security and operational logs. Built on Amazon Bedrock agents with integrated knowledge bases and action groups, this solution automatically executes queries and delivers actionable insights, democratizing access to powerful data analytics capabilities for security teams.

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.

Discover how AWS Premier Tier Services Partner Crayon achieved 3X revenue growth through strategic collaboration with AWS. Learn how their Define-Organize-Execute-Measure framework transformed operations across 46 countries and launched three new revenue streams. This success story showcases how AWS partners can accelerate growth through systematic execution and clear accountability.

Illumina’s suite of multiomics analysis tools hosted on AWS include capabilities for quality control, data aggregation, and advanced analytics. In this post, we demonstrate how software from Illumina, including DRAGEN™, Illumina Connected Analytics, Correlation Engine, and Illumina Connected Multiomics enable researchers to build scalable, secure analytical pipelines while maintaining security, data privacy, and compliance at scale.

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

Data privacy regulations are tightening globally, requiring organizations to enhance security for sensitive data in the cloud. Among various security controls, tokenization replaces sensitive information with cryptographically generated, non-sensitive identifiers. This post explores how Thales’ CipherTrust Tokenization Solution on AWS helps organizations meet PCI-DSS compliance requirements while protecting sensitive payment data.

Seeq’s advanced analytics platform, built on AWS, helps manufacturing companies track and reduce their carbon emissions by providing real-time carbon intensity monitoring and streamlined life cycle assessment (LCA) reporting, as demonstrated through three customer use cases including a global chemical company that reduced LCA assessment time by 90%. The platform integrates with various data sources and AWS services like the Sustainability Insights Framework, enabling manufacturers to make data-driven decisions for sustainability improvements while meeting regulatory requirements and corporate environmental goals.

YugabyteDB has enhanced its Hybrid Logical Clock mechanism by integrating with Amazon Time Sync Service on Amazon EC2 instances, providing microsecond-accurate reference clocks that have resulted in up to 3x reduced latency and 2x increased throughput compared to not using the service. This integration represents a significant advancement in distributed database performance, benefiting YugabyteDB’s customers across various industries including fintech, retail, streaming media, and automotive manufacturing who rely on quick data access while maintaining consistency and resiliency.