TIBCO discusses Trade Surveillance and Machine Learning challenges

TIBCO discusses Trade Surveillance and Machine Learning challenges

"AN INTRA-DAY CAN BE A MUCH MORE EFFECTIVE WARNING THAN AN END-OF-DAY NOTIFICATION"

In this podcast on Trade Surveillance and Machine Learning, Mark Hudson, Event Processing Specialist of the Office Of The Chief Technology Officer at TIBCO Software, discusses the current challenges in the industry and the smartest ways of dealing with them. Mark explores the key elements missing from most of today’s solutions and analyses the costs that business faces arising from regulation. TIBCO’s expert explains how Trade Surveillance compares with Market Risk and Payment surveillance and shares TIBCO’s uniquely effective approach to the industry.

"THIS IDEA OF TURNING A SURVEILLANCE SYSTEM INTO A PROFIT CENTRE IS PROBABLY THE MOST EXCITING THING TO COME OUT OF THE MARKET RISK TO TRADE SURVEILLANCE CONNECTION"

Key takeaways

1. Regulators are pushing businesses in the direction of real time surveillance prompting organisations to turn to machine learning for solutions.

2. A single real-time integrated surveillance engine that can do all types of surveillance in parallel on the same incoming data is customers’ preferred solution.

3. The same technology employed in trade surveillance can also be used to run further algorithms looking for customers assuming an appetite for risk increasing business profitability.