Solving the AI Talent Gap: Upskilling at Scale at Halliburton

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