Case Study

Enabling Machine Learning at the FDIC -
How Enquizit Created a Compliant Landing Zone in the AWS Cloud

At the Federal Deposit Insurance Corporation (FDIC), employees are committed to maintaining stability in America’s financial system by insuring deposits and monitoring financial institutions to protect businesses and consumers. Over the years, fulfilling that mission has become increasingly more complex as the markets become more volatile and the amount of financial data the FDIC must process grows exponentially. To keep up with an ever-growing repository of financial data, the FDIC needed a scalable analytics platform with artificial intelligence and machine learning (AI/ML) capabilities to process these data volumes efficiently. And as they modernized, they also had to ensure that their current high security needs were maintained and improved. System could maintain daily operations at the agency. In 2020, the FDIC turned to Enquizit for the dual task of maintaining their struggling on-premises system and transforming their analytics capabilities by constructing a complaint landing zone in the AWS Cloud.


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