IOT Data (Surgical Robots)

Problem we found

A subsidiary of a major Fortune 100 Pharmaceutical Company provides robotic devices to healthcare facilities for diagnosis and therapeutic procedures in lung and renal ailments.

Customer Vision

  • Process Robotic telemetry data from lab and hospital based deployments to optimize diagnostics capabilities for finding and treating tumors and other chronic ailments 
  • Timely processing of telemetry data is critical to find optimal traversals, find faults, complaints and build optimized learning models to improve the robotic equipments

Technical Pain

  • Processing data (petabytes of data) was error prone and lack of existing vendor support
  • Building new ML models and BI Dashboards was time consuming
  • Complex integration with other sub systems and scalability issues 

Solution we implemented

  • Ingested telemetry data and made the data available in silver and gold layers. 
  • Strong collaboration between Computomic,  Databricks Professional Services  & Account team, and the Customer to generate new use cases for ML and DB SQL, in addition to building complex Data Engineering pipelines
  • Highly collaborative communication allowing all teams to work transparently and successfully to exceed customer expectations
  • Took on End to End implementation of the entire project. 
  • Advisor and thought leader for all things Databricks at the customer
Data processing performance improvement

Positive Outcomes

  • 10X data processing performance improvement, from ~8 hours to <45 mins 
  • Reduced spend by 77%, saved $1M in compute costs annually
  • Implemented Delta as single source of truth for mix of BI and ML workloads
  • Opened up the environment for additional AI & BI use cases
  • Accelerated robotics optimization 
  • Simplified the Development and Deployment workflow
  • Simplified the Airflow integration 
“It has been great working with this team. ‍Migrating to Databricks has allowed our Data Scientists to get to data quicker for extracting information required to optimize our robots in the field performing medical procedures and better report on faults, complaints and regulatory audit processes” Snr Data lead