Kenny Shi
UBER Technologies - Engineering Manager

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Kenny has been building business rules platforms to serve fraud, risk and compliance use cases in the past decade. He has successfully led both technology and business rules analyst teams to have established end-to-end decision management solutions in large scale. Kenny is passionate about enabling business to be in control and to be agile.

Kenny currently leads the engineering effort to prevent fraud at UBER. His team is building solutions and platforms that include predictive analytics modeling, business rules engine, and data pipelines. Prior to UBER, he has led decision management and fraud prevention teams at eBay and PayPal. 
In a world flooded with data, more and more companies have realized the importance of deriving insights and decision logic from data. Data science and predictive analytics skills have become commodity thanks to the new wave of education and more accessible tools. On the other side, software engineering process have moved towards being more agile, enabled faster time to market, and blurred one of the benefits of business rules. 

While building a decision management system, questions have been raised on the importance or need of business rules in such system. Are business rules obsolete? This talk tries to explore the role of business rules in a modern decision management system, how they cooperate with other technologies, and how they could provide unique value.