Overview
Financial institutions face strict regulatory obligations, complex liquidity requirements, unpredictable data volumes, and the need for advanced economic modeling,all under heightened expectations for security and governance. AWS modernization allows these organizations to standardize and centralize data ingestion, improve reporting fidelity, and apply AI-driven analytics and domain models that align with regulatory reporting frameworks.
Applogika brings validated AWS Financial Services expertise to modernize data and analytics platforms, migrate legacy systems, and introduce secure generative AI capabilities. Our team delivers a modernized data platform that harmonizes regulatory reporting data, consolidates upstream feeds into a unified model, enriches risk analytics with external datasets, and enforces enterprise data quality. With Applogika’s FinLake accelerator, clients rapidly scale ingestion pipelines through low-code tooling and AI-enabled automation.
Highlights
- A workshop examining the current data lake & AI foundation, establishing data exploration needs, and documenting requirements for data import, access patterns, and reporting compliance
- Delivering a well-architected baseline infrastructure, data ingestion routines, and security model supporting a data lake & AI ready to be deployed to production account. A rapid ( 2 to 4 week) and comprehensive evaluation of potentially transformative technology and integrating Data & Generative AI
- Build lab providing hands-on experience using AWS Glue, AWS SageMaker, Amazon Bedrock, Lake Formation, performing CRUD and search operations via API, SQL queries via Athena, data analysis with QuickSight, Q&A with QuickSuite.
Details
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