Case Study: a global healthcare organization achieves improved content tagging and search with Progress Semaphore

Global Healthcare Organization saves time and reduces duplicate tagging with Progress Semaphore

A global healthcare organization faced significant challenges in a fragmented media marketplace, needing to create more content and improve search capabilities to enhance the customer experience. To compete effectively, they partnered with Progress Software and implemented its Semaphore Semantic AI platform to automate and improve their content classification process.

Progress Software provided a solution that moved the organization from a manual, rule-based system to an automated, model-driven approach using Semaphore's Knowledge Model Management and NLP engine. This resulted in precise and consistent metadata tagging, reduced duplication, and saved time and costs. The seamless integration drove analytics, supported SEO, and boosted queries, ultimately leading to an improved customer and user experience.