Category: Customer Solutions

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.

Adobe Experience Platform, AWS, and Merkle’s Bring Your Own Model (BYOM) accelerator are transforming customer experience personalization at scale. This integration combines AEP’s data foundation, AWS’s enterprise AI capabilities, and Merkle’s ML model integration to deliver highly targeted customer experiences. The solution enables organizations to reduce implementation costs by 60% while leveraging custom ML models and generative AI for enhanced customer engagement

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.

Discover how Tech Mahindra’s AftEAZE, powered by AWS and generative AI, is revolutionizing the automotive aftermarket. From predictive maintenance to personalized services, this innovative solution creates win-win scenarios for both consumers and businesses, streamlining operations and unlocking new value in a multi-billion dollar industry.

Discover how CleanSlate Technology Group helped Varsity Yearbooks transform their traditional yearbook business into a modern SaaS solution, accelerating feature delivery and boosting market share. Learn how this AWS SaaS Competency Partner leveraged AWS services to enable digital transformation in the educational services industry.

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

Discover how Capgemini and AWS collaborated to create TELme, a groundbreaking generative AI solution that revolutionizes product research and design in manufacturing. By enabling engineers to efficiently search and summarize vast repositories of technical content using natural language queries, TELme significantly reduces design lifecycle timelines and accelerates time-to-market for new products.

In today’s cyber threat landscape, a robust incident response plan isn’t just a nice-to-have—it’s critical for businesses of all sizes. AWS Security Incident Response Specialization Partners help AWS customers with incident response through 24/7 monitoring, investigation, containment, and remediation guidance, backed by AWS security experts.

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.