WhiteSpace Solutions
Vaibhavi Srivastava has experience working as a consultant at WhiteSpace Solutions. Prior to this, Vaibhavi was a teaching assistant at TU Delft where Vaibhavi provided support for the Introduction to Urban Data Science course. Vaibhavi also worked as an assistant under training at ITC Limited and held leadership roles at Techniche, IIT Guwahati. Additionally, Vaibhavi has internship experience at ITC Limited, DRDO, and the World Bank Group. Vaibhavi holds a Master of Science in Engineering and Policy Analysis from TU Delft and a Bachelor's degree in Mechanical Engineering from IIT Guwahati. Vaibhavi completed their Senior Secondary education at Laxman Public School.
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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.