-               Data-driven decisions in geoscience may be achieved through a machine augmented and human-driven approach

-               Machine learning can be used to produce efficient, consistent and repeatable outcomes, but its deployment in industry practice is challenging

-               Deployable machine learning (or data science in general) needs to address transparency, their seamless integration into human interpretation workflow, and generating solutions that are acceptable by domain experts

-               Machine learning is used not only used for structured data but also unstructured data towards building AI for geological knowledge discovery