Category: Customer Solutions

REGDATA’s Protection Suite (RPS) addresses a critical challenge faced by modern enterprises: balancing global scalability with data security and regulatory compliance. Through a partnership with AWS, REGDATA demonstrates how RPS integrates with Temenos banking platforms to enable financial institutions to maintain a single, global IT infrastructure while ensuring data protection across jurisdictions. The case study highlights how banks can modernize their operations without compromising regulatory requirements.

In today’s fast-paced digital landscape, the integration of AI in DevOps is changing how organizations balance innovation with compliance requirements. Generative AI tools have enhanced developer productivity, with estimates suggesting up to 45% improvement in efficiency, while creating new challenges for quality control and regulatory compliance. Through solutions like SpiraTeam from Inflectra, organizations can now leverage AI to modernize their quality and compliance processes while maintaining rigorous safety standards, particularly crucial for regulated industries like healthcare, finance, and utilities.

Organizations shouldn’t have to choose between protecting sensitive data and driving innovation. That’s why DataMasque, an Advanced AWS Technology Partner, is raising the bar on data privacy with automated masking solutions that transform how businesses handle sensitive information. By replacing real customer data with high-fidelity synthetic data, teams can develop, test, and analyze with confidence – all while maintaining regulatory compliance. Available on AWS Marketplace, DataMasque’s seamless integration with AWS services empowers customers to innovate faster while keeping sensitive data secure.

By Paramdeep Singh, Co-Founder – Shorthills AI, By Ganesh Sawhney, Sr Partner Solutions Architect – AWS, By Henry Issac Mudumala, APJ Lead Strategic Partnerships – Datastax DataStax Introduction Extracting value from unstructured data remains a challenge for organizations. They struggle to extract value from emails, reports, legal documents, and other digital assets, which delays decision-making. […]

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