Skip to main content
Domino's logo

Who is Domino?

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

Watch Demo
  • Platform

      • AI infrastructure
      • Data management
      • AI workbench
      • MLOps
      • AI governance
      • FinOps
      • Pricing
      • Security & compliance
      • What's new
  • Solutions

    • Industries

      • Life sciences
      • Finance
      • Public sector
      • Retail
      • Manufacturing
    • Use Cases

      • Generative AI
      • Cost-effective data science
      • Self-service data science
      • Model risk management
      • Cloud data science
  • Learn

      • Events
      • Blog
      • Podcast
      • Courses and certifications
      • Data Science Dictionary
      • Documentation
      • Support
      • Demo hub
  • Company

      • About
      • Why Domino
      • Careers
      • Sustainability
      • News and press
      • Partners
      • Customers
      • Contact us

© 2026 Domino Data Lab, Inc. Made in San Francisco.

  • Do not sell my personal information
  • Privacy policy
  • Terms and conditions
  • Security
  • Legal

Episode 7

Navigating Data Constraints in the Highly-Regulated Healthcare Industry

Data Science Leaders | 29:03 | June 16, 2021

podcast-ep07

Listen how you want

Listen onSpotifyListen onAppleListen onYouTube

Return to podcast home

Data scientists in the healthcare industry face some especially tough challenges. Not only do they have to contend with complex regulatory landscapes impacting the data they can work with, but they’re also constrained by some less than modern processes.

75% of medical communication is still delivered by fax. And that’s just one example.

Derrick Higgins, Head of Enterprise Data Science & AI at Blue Cross and Blue Shield of Illinois, Montana, New Mexico, Oklahoma, and Texas, talks to us about the processes his team has put in place to overcome these unique challenges.

In this episode, we cover:

  • The challenges of working in a highly-regulated industry
  • Implementing a continuous code review process
  • Where IT intersects with the data science life cycle

About the Show

Leo Reyes

Leo Reyes

Global Head of Data Science, Data & Technology Solutions

Episode 102October 29, 2026

Measure everything except the thing

Listen Now | 36min
Stephen Hahn, M.D.

Stephen Hahn, M.D.

Chief Executive Officer (and 24th Commissioner of the U.S. FDA)

Episode 101

See why Fortune 100 data science leaders choose Domino

Watch DemoWatch customer stories
October 07, 2026

The data behind the fastest vaccine ever

Listen Now | 30m
Justin Johnson

Justin Johnson

Former Executive Director, Data Science Platforms, Oncology R&D at AstraZeneca

Episode 100August 24, 2026

Becoming the builder-conductor

Listen Now | 30:04
Home
Watch Demo
Watch Demo