Steve is the Global Technology Advisor for Schlumberger's digital business. He is also currently the Head of Energy Transition. Prior to that he was the Head of AI and innovation.
Steve gained his PhD in Structural Geology from Leeds University in the UK. He has since worked in the Energy and Minerals business around the globe over the last 25 years.
In what parts of Geoscience and Engineering will ML make the biggest impact?
Is ML a fad or here to stay?
How can geoscience and engineering departments at Universities cope with the emerging ML trend?
Would the job market prefer an ML geoscience (engineering) degree (BS., MS., or even PhD.)?
What is next for ML in illuminating the Earth?
Moderator : Claire Birnie (KAUST)