How GE Healthcare Took DynamoDB on Prem for Its AI Platform

GE Healthcare successfully transitioned its AI platform, originally reliant on AWS's DynamoDB, to on-premises hospital data centers without rewriting the application, utilizing ScyllaDB as a compatible replacement. This move was driven by the need to address specific healthcare challenges, such as the shortage of healthcare workers and the manual nature of ultrasound scans, by deploying AI solutions closer to where the data resides. The Edison AI Workbench, initially running on AWS, allows data ingestion, annotation, model training, and deployment, and the shift to on-premises was motivated by research customers' requests for localized solutions. ScyllaDB was chosen for its API compatibility with DynamoDB, allowing minimal code changes and maintaining service parity across environments. This transition was supported by ScyllaDB's responsive team, enabling GE Healthcare to maintain short release cycles and adapt quickly to on-premises requirements while ensuring the AI tools effectively reach hospital networks.