Challenges
A complex, 80,000-term taxonomy and rapidly growing document volumes severely bottlenecked indexing for a top biomedical provider and jeopardized data currency and regulatory compliance.
Solutions
Leveraged the Spark.AI engine with ML recommenders and a robust quality framework to analyze articles and map them to complex chemical and medical taxonomies accurately.
Impact
- 45% productivity improvement across 100,000 annual records.
- 85% Precision & Recall with >98% term accuracy.