Case Study: a leading global pharmaceutical company gains cancer diagnosis insights with Tiger Analytics and AWS SageMaker

a leading global pharmaceutical company advances cancer insights with Tiger Analytics and AWS SageMaker

Tiger Analytics worked with a leading global pharmaceutical company to address challenges in cancer diagnosis and treatment. The customer needed to generate insights from patient data to predict cancer stage and nature, and required a way to visualize the performance metrics of their machine learning models.

The solution implemented by Tiger Analytics leveraged AWS SageMaker for predictive modeling and Amazon QuickSight to build dashboards for visualizing the ML performance metrics. This provided the pharmaceutical company with data-driven clinical insights, aiding in cancer analytics. The vendor, Tiger Analytics, successfully enabled the customer to operationalize these insights for their research and development efforts.