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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.

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Episode 54

Solving the AI Talent Gap: Upskilling at Scale at Halliburton

Data Science Leaders | 45:13 | August 31, 2023

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Who doesn’t have a data science talent gap? Anyone? Most organizations struggle to realize their AI ambitions because of a lack of data science skills, a disconnect between the technology and the business domain, and a lack of leadership experience with AI.

Halliburton has been solving all three of these challenges with one of the earliest and largest corporate data science programs in the energy sector. In today’s episode of Data Science Leaders, we are extremely fortunate to be joined by Dr. Satyam Priyadarshy, Managing Director, Technology Fellow and Chief Data Scientist at Halliburton who shares their best practices for upskilling talent, bridging the data science - business divide, and ensuring executive engagement.

Join us as we discuss:

  • How to upskill existing domain experts on data science methods
  • How to engage and drive alignment with corporate stakeholders through workshops
  • The benefits of upskilling domain experts on code-based data science tools
  • The importance of involving and upskilling leadership

About the Show

Dave Johnson

Dave Johnson

Co-founder & CEO at Dash Bio

Episode 99June 03, 2026

The cave: pharma's data problem

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Cindy Tu

Director of IT & Data Audit, Capital One

Episode 98April 02, 2026

Turning governance into the “yes” guys

See why Fortune 100 data science leaders choose Domino

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Listen Now | 31 min

Shub Agarwal

Founder, AI Trust Lab @ USC

Episode 97February 21, 2026

Building trust for transformation in enterprise AI

Listen Now | 32 min