Ample Insight Helps FluidAI Implement Scalable Data Infrastructure to Drive New Medical Insights and Innovations
FluidAI’s IoT biosensors are attached to postoperative patients to measure a wide range of biochemistries to help predict anastomotic leaks. To organize, make sense of, and prepare the complex and voluminous biosensor data for machine learning required deep experience in:
FluidAI chose to partner with Ample Insight to help build the set of data technologies, workflows and best practices for the above challenges and for supporting their growing data organization.
Ample Insight worked closely with FluidAI to first audit all of the biosensor data to ensure data consistency and accuracy. After mapping and understanding the raw data along with potential edge cases and possible anomalies, Ample Insight created workflows and pipelines to standardize and consolidate the raw data.
Next, Ample Insight worked with FluidAI’s internal medical experts to build analytics and data visualizations for supporting the discovery of patient health issues relating to anastomotic leaks.
Working with Ample Insight, FluidAI was able to build a robust and scalable data infrastructure and workflows for their growing data and AI needs.
Upon completion of the project, FluidAI obtained:
Garry and Ample Insight rapidly launched our project and got onboarded faster than any previous engagement I've had in the past. It was remarkable. With that, we were able to accelerate our development and path to market by adding resources to our most critical path, and better understand our long-term talent needs. The team automated data reporting and found more effective methods of processing to improve data integrity.