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.