Combining AI Entity Resolution with MPC to help combatting financial crime
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Dit artikel is geplaatst op: CoE-DSC
The CoE-DSC has completed a case study on the application of Artificial Intelligence (AI) Entity Resolution technology to link records across datasets without exposing the source data. In this case study, our participants Knights Analytics together with Roseman Labs tested the performance of their AI Entity Resolution technology combined with Multi-Party-Computation (MPC) – to improve financial crime detection by enabling banks to generate combined views on transaction patterns and the entities involved. The CoE-DSC presents the report with metrics showing that MPC combined with Entity Resolution limits data exposure while achieving solid performance in comparison with today’s practices. Lastly, the report considers potential implementations of this technology for other sectoral use cases.
Het bericht Combining AI Entity Resolution with MPC to help combatting financial crime verscheen eerst op Centre of Excellence for Data Sharing & Cloud.