AI for preventing fraud: What does the future look like?
Richard Maton (Sybenetix), Éric Sibony (Shift Technology), Javier Mira (FacePhi)
About this talk
What is AI and how is it different from traditional analytics?
How is AI currently applied in context of different types of fraud and data sets?
How does AI help people make smarter decisions and what does that mean for workflow and process + future roles working with AI
What do companies need to do to be AI ready for fraud prevention?
What does the future look like in terms of extension of AI capability and usefulness and how will this play out across into types of fraud and crime for example AML, Sanctions, employee misconduct etc?
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