Sep 23–26, 2019
Brian Keng

Brian Keng
Chief Data Scientist, Rubikloud Technologies Inc

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Brian is the Chief Data Scientist at Rubikloud Technologies where he leads a team building out intelligent enterprise solutions for some of the world’s largest retail organizations. Brian is a big fan of Bayesian statistics but his main professional focus is around building out scalable machine learning systems that seamlessly integrate into traditional software solutions. Before Rubikloud, Brian has worked at Sysomos leading a team of data scientists performing large-scale social media analytics working with datasets such as the Twitter firehouse. He earned his PhD in Computer Engineering from the University of Toronto during which time he was an early employee of a startup that commercialized some of his research.

Sessions

11:20am12:00pm Thursday, September 26, 2019
Location: 3B - Expo Hall
Secondary topics:  Culture and Organization, Retail and e-commerce, Transportation and Logistics
Brian Keng (Rubikloud Technologies Inc)
Automating decisions require a system to consider more than just a data-driven prediction. Real-world decisions require additional constraints and fuzzy objectives to ensure that they are robust and consistent with business goals. This talk will describe how to leverage modern machine learning methods and traditional mathematical optimization techniques for decision automation. Read more.

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