The focus for the RC, is on releasing human creativity within the payments landscape, by automating complex and repetitive tasks to simply stop fraud.

Tom Myles, Chair of the Research Council and CTO at AI says “One of the key focus points will be the adoption of true machine deep learning. This is the movement away from supervised to an unsupervised self-learning system with the purpose of fully automating fraud prevention activities for all payment types.”

"The research focus is aimed at augmenting our market successes that fraud prevention platforms are capable of so much more than just detecting fraud. One of the richest sources of information in any organisation is the fraud database – it has to be to get the best results. If fraud databases are so good at finding the bad guys, turning this data refinery around to look for positive things should be simple.” Tom says.

The purpose of the RC is to develop the solution road map for AI and to create solutions that can be adapted to automate not just fraud, but other areas of the business such as; credit scoring, credit monitoring, gateway switching and interchange optimisation, sales and marketing effectiveness. Ultimately, AI’s fraud platform is a reusable technology asset that has a wider business application as end to end decision engine.

"In order to retain a competitive position, research and development is imperative and this step shows that innovation is at the heart of AI’s business."