WhiteSpace Solutions
Tom Savels is a co-founder and managing partner at WhiteSpace Solutions, with extensive experience in data science and machine learning, particularly in the oil and gas industry. From October 2008 to February 2019, Tom worked at Shell in various roles, including data scientist/machine learning engineer, production seismologist, seismic interpreter, geophysicist, and research geophysicist, contributing to innovative projects and algorithms that enhanced operational efficiency and data-driven decision-making. Tom holds a PhD in Physics from the University of Amsterdam and has completed specialized programs in deep learning and natural language processing. Prior to joining Shell, Tom served as a consultant at M&I/Argitek and was involved in academic research and teaching.
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WhiteSpace Solutions
High stake decisions are often very complex: huge option spaces, many uncertainties and constraints and often competing value drivers. Still too often we rely on time consuming, iterative and manual workflows and introduce various types of bias, or simply run out of time to complete the decision analysis. This leaves material value on the table. One of the latest AI developments, Game AI, mimics human ability to learn from experience and has become famous for achieving super human performance in sophisticated games such as Chess, Go and Poker. WhiteSpace Solutions uses this Game AI to support domain experts and senior leaders to make radically better complex decisions. Their approach demonstrates that augmented decision making through Game AI can add significant business value and truly transform the ways of working, while humans remain in control.