District Medical Group (DMG) is a nonprofit integrated medical group practice in Arizona, consisting of over 650 credentialed providers representing more than 25 medical and surgical specialties and subspecialties.
Duquesne deployed Komprise Smart Data Workflow Manager with Amazon Rekognition to automate the process for two use cases, driven by the library archive team.
Duquesne University is a private Catholic research university in Pittsburgh, Pennsylvania, founded in 1878. The university is ranked in the prestigious Princeton Review and has achieved several rankings in the US News & World Report annual college rankings including a “Best Value School” for 2024.
The library archive team wanted to search for and find specific images from the millions of files in their digital archives. Assuming each file would require at least two minutes to manually inspect, they estimated it would take at least 20,000 minutes or 333 hours to fully review and record the results. The solution with Komprise and Rekognition reduced 14 days of manual labor to only 2 hours.
“Our digital collections are growing in leaps and bounds but budgets stay flat. AI is still new but has tremendous potential. With Komprise we’re able to improve efficiency with a systematic workflow to index data, run AI and tag data.”
– Rob Behary, Head of Systems and Scholarly Communications, Gumberg Library at Duquesne University.
Read this case study to learn how Komprise Smart Data Workflow Manager and Amazon Rekognition were deployed to deliver massive time savings, productivity and ongoing unstructured data management benefits.
Learn more about Komprise for Duquesne.
More Komprise customer success stories.
————–