Category: Partner solutions

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.

Through the integration of Veeam and AWS security best practices, organizations are equipped to address their regulatory compliance adherence while enhancing overall security resilience when deploying their data protection solution on AWS.

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.

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.

TCS partnered with a leading Australian bank to implement Consumer Data Right (CDR) compliance through an open banking solution, enabling secure data sharing for 400,000+ customers while maintaining existing banking operations. The solution architecture leverages AWS services including Amazon Kinesis Data Streams, AWS DMS, Data Firehose, Glue, and Aurora MySQL to process 6 million records daily in real-time, with comprehensive security controls and 99.99% uptime. The implementation demonstrates TCS’s expertise in creating scalable, secure enterprise data platforms that enable financial institutions to modernize their data streaming capabilities while protecting core operations and meeting regulatory requirements.

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.

CSPs face offer personalization challenges due to complex portfolios. Hansen’s AI-driven Offer Lifecycle Management solution, developed in the 2024 TM Forum Catalyst, empowers CSPs to analyze offers, rationalize catalogs, and enhance their OLM process using LLMs and Amazon Bedrock.

Apiphani provides services and solutions to help organizations industrialize their data delivery and enable data-driven business through data pipeline deployment, Data Product delivery, and value scaling and realization. The approach covers technology, ways of working, and cultural changes to deliver reliable, right data for BI, ML, AI, and digital products. Companies following these methods can realize performance improvements in the near term as well as get on a path to be data and AI driven for years to come.

Metal Toad, an AWS Advanced Consulting Partner, demonstrates how to effectively leverage Generative AI and Machine Learning for business solutions. Through case studies with AlertWest and GeniusVets, they showcase the power of AWS services like Amazon Bedrock and SageMaker in creating innovative AI applications, highlighting the importance of choosing the right AI approach for specific business needs.