Lumin Digital's Transformation: Leveraging Modern Data Platform for Advanced Analytics and AI/ML Use Cases
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
- Cement
- Finance & Insurance
- Maintenance
- Fraud Detection
- Machine to Machine Payments
- Cloud Planning, Design & Implementation Services
- System Integration
Lumin Digital, a fintech company specializing in digital banking solutions, was seeking to build a modern, multi-tenant data platform to support advanced analytics, reporting, and enable various AI/ML use cases. The initial use cases identified were focused on improving abilities to monitor and detect risk involving user sessions and ACH transactions. The company's mission was to help financial organizations preserve and nurture their relationships with customers in today's evolving market. To meet their ambitious goals, Lumin needed a trusted partner to design and build the desired data platform, implement AI/ML use cases, and ensure that the platform was optimized for stable, cost-efficient performance.
Lumin Digital is a fintech company that specializes in providing digital banking solutions. They assist financial institutions in building and deploying next-generation digital experiences that help to continually serve, engage, and grow their user base. Lumin's cloud-native platform redefines digital banking for financial institutions by providing a comprehensive and contemporary suite of capabilities built on the industry’s most sophisticated technologies and best practices. By using Lumin’s solutions, financial organizations can take their customer service to a new level by developing deeper connections with their users.
Provectus, an AWS Premier Consulting Partner, was chosen to assist Lumin in their transformation journey. The Provectus engineering team designed and built a robust data foundation comprised of NextGen Streaming Data Platform, using a variety of AWS services in the cloud. This allowed Lumin to quickly and efficiently enable data streaming, introduce analytics and reporting, and begin exploring AI/ML use cases. The data platform was developed as a combination of several key components, including the Provectus NextGen Data Platform, which was used as a streaming foundation, and a data lake built in the AWS cloud. The ML engine for feature productization, including all required pipelines for data and models, was delivered in close collaboration with Lumin. Provectus also held a series of machine learning use case discovery workshops to learn which use case to deliver first.