Paul Smith BA (Hons) MDipNLP, Swift Digital Ltd (A Making Science Company)
About this talk
-Anti-Financial Crimes & Regulatory Compliance enhanced by PETs?
-Anti-Money Laundering – More effective with PETs?
-KYC and Transaction Monitoring Processes – More effective with PETs?
-Counter-Terrorism Financing (CTF) - More effective with PETs?
-Sanctions, PEP & Adverse Media Screening - More effective with PETs?
-Business Process Analysis & Design - More effective with PETs?
-Compliance Tools, including Intelligent Automation Technologies - More effective with PETs?
-Privacy Protections and Intrusions - More effective with PETs?
-The role of PETs as a best defence - More effective with PETs?
-Describing the technical ecosystem. What technical capabilities exist or are under development in the field of privacy preserving analytics with the potential to support AML and financial crime prevention objectives - More effective with PETs?
-Exploring relevant use-cases. What current and potential use-cases exist for privacy preserving analytics in AML and financial crime prevention; with a particular focus on the relevance to public/private information-sharing (and associated private/private information sharing) within financial information-sharing partnerships - More effective with PETs?
-Identifying privacy implications. What are the implications of these AML and financial crime prevention use-cases in terms of enabling both privacy protections and privacy intrusions - More effective with PETs?
-Understanding adoption challenges. What key technical, legal, policy, regulatory and cultural issues (considering both -AML and data privacy issues) may affect the utilisation of privacy preserving analytics for AML and financial crime prevention purposes in the target countries - More effective with PETs?
-Challenge of detecting financial crime. Modern criminals are using increasingly more complex structures and are acting across multiple financial institutions and jurisdictions.
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