Common ground for future fraud detection techniques
Fraud detection is a wide field. Every organisation experiences the implementation differently.
Author
Colin BristowRSS
Director, Pre-Sales Support
Director, Pre-Sales Support
A wide range of experience gained over 15 years working with the financial services sector, Colin has spent time advising organisations in usage of machine learning, intelligent systems technologies and analytics for improvement in business advantage. Colin has worked globally in the areas of Risk, Fraud, AML and technology (including Hadoop) for a wide range of financial services firms. He has spent over 5 years working at SAS, and is currently responsible for supporting one of the global banking organisations in setting a strategy and direction for usage of advanced analytics.
How is AI augmenting compliance practices?
Forming a significant theme in several organisational technology strategies, AI can augment a gamut of business practices, including compliance. Compliance is a must-do activity, not a nice-to-have. It is essential that companies extract maximum value from compliance processes, reducing the possibility of it being considered a cost centre. Technological innovation
Anti-money laundering requirements: Are the stakes increasing?
Part 504 of the US Department of Financial Services Superintendent’s Regulations seems to significantly up the requirements for firms to conduct ongoing review and continuously improve their approach to anti-money laundering (AML) monitoring. But is it really very different from the intergovernmental Financial Action Task Force's broader suggestions to introduce