Case Study: NewYork-Presbyterian achieves 96% cloud cost savings and 10x faster AI data ingestion with Komprise

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Preview of the NewYork-Presbyterian Case Study

NewYork-Presbyterian achieves 96% savings and 10x faster AI data ingestion with Komprise

NewYork-Presbyterian's healthcare IT infrastructure team faced challenges with managing unstructured data for its AI workflows. The manual processes for data curation and ingestion across multiple silos were inefficient, creating risks from sensitive data and eroding AI model accuracy with irrelevant and duplicate files. To address this, they turned to Komprise and its Intelligent AI Ingest service.

Komprise implemented its solution, which uses a Global Metadatabase to search across all data silos and automatically curate precise, AI-ready datasets. This eliminated over 70% of data noise and enforced governance by identifying sensitive information. As a result, NewYork-Presbyterian achieved a 96% reduction in cloud costs and accelerated its AI data ingestion speeds by ten times with Komprise.


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