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How the FDIC Achieved Compliance and Efficiency With the AWS Cloud

Recognizing the benefits of cloud storage and computing, former U.S. Chief Information Officer Vivek Kundra made the groundbreaking decision to migrate 80 government services to the cloud more than a decade ago. Today, federal cloud spending has reached $8 billion, and it continues to grow through investments in engineering, applications, data service centers, and professional services.
Following in those footsteps, the Federal Deposit Insurance Corporation (FDIC), tasked with keeping America’s financial systems stable and insuring deposits, reached out to Enquizit to help them modernize their data systems. With an exponentially growing amount of data to process and compliance standards to meet, the FDIC needed to update their current infrastructure to be able to maintain daily operations.

Spending on platform as a service (PaaS) rose from $115M to $198M between 2018 and 2020, a 72% increase.

The FDIC knew that their analytics platform would benefit from artificial intelligence and machine learning (AI/ML). Leveraging AI/ML on their analytics platform would help them process critical financial data faster so they could better serve the American public. They needed a cloud environment where all their disparate applications could live under a centralized set of compliance standards, so they reached out to Enquizit to help modernize their on-premises data center and increase their analytics capabilities. To find out more about how Enquizit created a secure and compliant landing zone for the FDIC, read the full case study here https://enquizit.com/case-studies/enabling-machine-learning-at-the-fdic-how-enquizit-created-a-compliant-landing-zone-in-the-aws-cloud

Stefan Deusch

Forward-thinking Engineering leader offering 20 years of experience with a background in effective and dynamic work environments. Clear communicator, decision-maker, and problem solver focused on achieving project objectives with speed and accuracy. I am passionate about building quality teams, cloud computing, and machine learning.

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