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
Home
Watch Demo
Watch Demo

Episode 30

Change Management: Winning Over AI Skeptics in Banking & Beyond

Data Science Leaders | 18:03 | December 08, 2021

Data Science Leaders: Chun Schiros

Listen how you want

Listen onSpotifyListen onAppleListen onYouTube

Return to podcast home

As compute capability continues to expand, the banking industry is turning more and more to data science to enable better customer experiences.

Use cases have proliferated, from product recommendation engines to predictive customer retention alerts. These innovations can drive real business value, but managing the rollout of process and technology changes always presents interesting challenges.

In this episode, Chun Schiros, SVP, Head of Enterprise Data Science Group at Regions Bank, reveals how her team is leveraging AI solutions to optimize the banking experience. And with insight applicable to data science leaders in any industry, she shares her change management tips for driving adoption of machine learning among data skeptics.

We discuss:

  • How data science use cases have evolved in the banking industry
  • AI solutions in banking that optimize the customer experience
  • Change management tips for winning over data science skeptics

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