With Komprise, AWS S3 and PathAI, NewYork-Presbyterian is finding success with AI at the point of care in a bold
new initiative to improve treatment and outcomes.
Healthcare IT infrastructure team reduced cloud costs by 96% using the Komprise automated AI workflow that curates a small subset of files and then deletes cloud copies after 30 days. This approach pared down AWS storage from 1PB to a rolling 33TB.
Digital pathology has become one of the fastest growing applications of AI in healthcare, improving diagnostic accuracy and reducing turnaround time. However, digitizing medical images creates extreme data growth.
With Komprise, Everpure, AWS S3 and PathAI, NewYork-Presbyterian is finding success with AI at the point of care in a bold new initiative to improve treatment and outcomes. The solution has allowed IT to operationalize AI data ingestion with great economics, speed and accuracy for their constituents.
Read this case study to learn how Komprise curates and only sends the newest data to the cloud, at speeds 10x faster than previous data transfer methods in use at NewYork-Presbyterian.
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