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 28

How a Centralized Data Science “Nerve Center” Can Power Global Impact

Data Science Leaders | 37:09 | November 17, 2021

Data Science Leaders: Tim Suhling

Listen how you want

Listen onSpotifyListen onAppleListen onYouTube

Return to podcast home

There are many ways to structure a data science function in a global enterprise. But what’s been the winning strategy for global technology distributor Ingram Micro? Creating a data science “nerve center.”

Centralizing data science talent has helped elevate analytics at Ingram Micro to better solve complex business problems using machine learning and AI.

In this episode, Tim Suhling, VP Global Business Intelligence at Ingram Micro, explains how it all happened, and what data science leaders everywhere can learn from the transformation. Plus, he shares his perspective on how data science can impact “Customer 360” programs and different approaches to measuring the success of models.

We discuss:

  • The relationship between data science and business intelligence
  • Embarking on a customer 360 initiative
  • Measuring the effectiveness of data science

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