Case Study: Duquesne University achieves 99% faster image tagging with Komprise and Amazon Rekognition

Duquesne University finds and tags images 99% faster with Komprise

Duquesne University needed to search and tag specific images within a vast digital archive containing millions of files. Manually inspecting these files would have taken an estimated 333 hours. To address this challenge, they turned to Komprise and its Smart Data Workflow Manager.

The solution implemented by Komprise integrated with Amazon Rekognition to automate the AI-driven discovery and tagging process. This reduced what was estimated to be 14 days of manual labor down to just 2 hours, achieving 99% faster processing. Komprise enabled the university to systematically manage its unstructured data and realize massive time savings and productivity gains.

Duquesne University