Category: Customer Solutions

Schneider Electric is a leader in digital transformation in energy management and industrial automation. To effectively manage customer account hierarchies in its CRM at scale, Schneider Electric started leveraging advances in generative artificial intelligence (AI) large language models (LLMs) in April 2023. They created a solution to make timely updates to their customer account hierarchies in their CRM by linking customer account information to the correct parent company based on the latest information retrieved from the Internet and proprietary datasets. In this post, we explore further iterations of this project and how the team applied what they learned to the Salesforce CRM system using Amazon Aurora and Amazon Bedrock.

Ola Money is a financial service provided by Ola Financial Services (OFS), which is part of the Ola group of companies. In this post, we share the modernization journey of Ola Money’s MySQL workloads using Amazon Aurora, a relational database management system built for the cloud with MySQL and PostgreSQL compatibility that gives the performance and availability of commercial-grade databases at one-tenth the cost.

MoneyLion is a financial technology ecosystem leader with a mission to empower everyone to make their best financial decisions. The MoneyLion app delivers curated financial content and innovative products, including features to save and invest, integrating offers from over 1,100 enterprise partners. In this post, we share how MoneyLion achieved cost-optimization using Amazon Aurora I/O- Optimized, a new storage configuration in Amazon Aurora that provides improved price-performance and predictable pricing for I/O-intensive applications.

In this post, we show you how the Gen team replayed an Oracle database workload for a mission-critical application on Amazon Aurora PostgreSQL-Compatible Edition.

In this post we share how the London Stock Exchange Group (LSEG) Capital Markets Business unit improved their Blue/Green software deployment methodology, by using continuous logical database replication. We show you the process of implementing a Blue/green deployment architecture using Aurora PostgreSQL Global Database. Specifically, we explore best practices and considerations when configuring the architecture. Blue/green deployment serves as a robust and efficient approach to make sure applications stay resilient and synchronized throughout the process.

In this post, we discuss how Amazon DynamoDB helps media and entertainment customers overcome these challenges for streaming and media supply chain workloads. We also share customer examples, such as Disney, Warner Bros. Discovery, ViacomCBS, and other media applications that are built with DynamoDB.

PayU provides payment gateway solutions to online businesses through its award-winning technology and has empowered over 500 thousand businesses, including the country’s leading enterprises, e-commerce giants, and SMBs, to process millions of transactions daily. In this post, we outline how at PayU, we use Amazon Keyspaces (for Apache Cassandra) as the feature store for real-time, low-latency inference in the payment flow.

In this post, we show you how Amazon DynamoDB enabled Scopely to quickly respond to their rapid growth with consistent game performance and availability. We also describe how Scopely improved the availability and performance of their matchmaking service with DynamoDB after facing challenges at scale with other solutions.

LeadSquared is a new-age software as a service (SaaS) customer relationship management (CRM) platform that provides end-to-end sales, marketing, and onboarding solutions. Tailored for sectors like BFSI (banking, financial services, and insurance), healthcare, education, real estate, and more, LeadSquared provides a personalized approach for businesses of every scale. LeadSquared Service CRM goes beyond basic ticketing, […]

This is a guest post co-written by Arnaud Briche, the Founder of Agnostic. At Agnostic, our mission is to democratize access to well-structured blockchain data. We aim to provide a swift, user-friendly, and robust method for querying the vast volumes of data generated by smart contract blockchains. As a company, for performance reasons we first […]