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 64

Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran

Data Science Leaders | 41:41 | January 20, 2024

Listen how you want

Listen onSpotifyListen onAppleListen onYouTube

Return to podcast home

The biggest challenges to driving impact with AI have little to do with AI and everything to do with humans. Nowhere is this greater than with GenAI where myths and misconceptions abound regarding how organizations should be designing, developing and operationalizing GenAI-based applications. In this episode with Rowan Curran, industry analyst at Forrester Research, we debunk the most harmful myths and discuss how AI teams are shattering these myths and delivering transformative outcomes.


Join us as we discuss:

  • The role of data scientists and ML engineers in GenAI projects
  • Successful approaches to prompt engineering
  • The linkages between MLOps and LLMOps

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