Mike Weiss
NASDAQ OMX - Senior Software Developer 

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Mike joined NASDAQ OMX in 2011 where he has been working in the back office technologies division for over 2 years. His primary focus has been on billing related projects.  After joining NASDAQ OMX, Mike began the process of introducing BRMS to the company and continues this effort today.

Prior to joining NASDAQ OMX, Mike worked for Red Hat as a Middleware consulting for over 3 years. While at Red Hat Mike led and participated in several projects utilizing various open source technologies, including BRMS. In addition to implementing BRMS solutions for several clients, Mike was also part of a group of Red Hat employees who helped create an updated JBoss BRMS training
course.  

John X. Dinh
NASDAQ OMX -

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John joined NASDAQ OMX in 2011 where he has focused his efforts on measuring the performance of NASDAQ OMX’s U.S. derivatives business. He also provides the management team with insight on industry trends and customer behavior. He is also responsible for formulating price incentive structures across NASDAQ’s three U.S. Derivatives exchanges. 

Prior to joining NASDAQ, John was an Analyst at Freeman & Co., an M&A advisory and strategic management consulting firm based in New York City. During John’s tenure at Freeman & Co., he worked on an array of projects including benchmarking the competitive positions for firms in the Investment Banking and Private Equity industry.  Through a joint venture between Freeman & Co. and Thomson Reuters, John helped shape what is now known as Deals Business Intelligence, a tool utilizing Freeman & Co.’s proprietary fee based algorithm to help investment banks analyze, manage and grow their businesses. John graduated from The Smeal College of Business at The Pennsylvania State University with a B.S. in Economics.
The stock exchange space is an ever evolving world and to stay competitive one needs to have the ability to adapt quickly.  Outside of the speed of an exchange’s trading platform, the next most important thing to attract business is a competitive pricing schema. 
Firms will often determine where they are  going to trade based on where they will get the best pricing. Because of this  fact the business needs the ability to change rapidly to stay  competitive. 

This talk will cover why  Drools gives us an edge in this pricing war and how we are using it day to  day. The talk will be broken into a couple major sections:
• Why a rules engine?
• Where we were before using business rules
• Where we are currently at 
    o Lessons learned to–date
• Where we are doing with business rules