AI ML Case Study: Insights and analytics to help everyone get back-to-work safely

Client Success

Insights and analytics to help everyone get back-to-work safely

Learn how a health intelligence company is making workplaces safe for employees and customers through a data-driven contact tracing app.

Challenges

A health intelligence company wants to make workplaces safe for employees.

  • Covid-19 pandemic demands workplaces be kept safe for employees and customers
  • Identify close interactions, trace forward and backward paths and assess exposure risk
  • Ensure that no PII data is captured
  • Time to make it available
Solution

Persistent Data Foundry leveraged pre-existing components such as Graph DB, API Gateway and Lambda to build the platform.

  • Captured interaction proximity using a mobile app
  • Used generated device-id, license key, user key rotation techniques to block capture of PII data
  • Built risk engine to assess risk with proximity data
  • Interaction network graph with 15-day archival to focus only on relevant cases
Outcomes

ZERO PII data captured – Getting everyone back to work safely

  • Global view of location data, employee distribution, and interaction patterns
  • Dashboards to spot exposed, high-risk employees
  • Ability to trace back and forward interaction paths of positive and quarantined cases
  • Integration with employee portal to access insights seamlessly

Contact us

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    You can also email us directly at info@persistent.com

    You can also email us directly at info@persistent.com