Apr 12, 2019
What is the optimal emotional state of eSports players to increase their win rate? Can the range of emotions displayed in movies determine which are most likely to win an Oscar? And when should Bradley Cooper cry in such a movie to produce the greatest effect?
These are just some of the questions that artificial intelligence (AI) is solving. Ben's guest Jeff Lui is at the forefront of the field. Formerly a Global People and AI Designer at Google, Jeff is now the Director of AI for Deloitte in Toronto.
Read the blog post for this episode.
About the Guest
Jeff Lui is currently a director of artificial intelligence in Deloitte’s Applied Innovations Practice. His current role has Jeff spearheading Deloitte’s EmotionPlus Platform, which uses machine learning to predict emotions and sentiment, and determine predictive recommendations based on data science. He also helps companies with their transformational AI journey, particularly at the intersection of IQ and EQ. Prior to Deloitte, Jeff spent 4 years working at Google on their People & AI Team, both in Toronto and at GooglePlex in Mountain View, where he helped Google transform from a traditional tech organization into one that is now fully driven by data science.
Jeff is currently a PhD Student at Queen’s University, focusing on AI and Ethics. He is also a CPA, has an MBA from the Schulich School of Business and holds an undergraduate degree in Finance and Computer Science from the University of Western Ontario. In his spare time, Jeff continues to code and experiment with machine learning models, while driving research on how organizations can optimize for happiness.
Learn more about Jeff Lui or follow him on Twitter (@jefflui).