有害メディアスクリーニングの変革

In the last five years, developments in next generation technology such as artificial intelligence (AI) and machine learning (ML) have advanced significantly, with noteworthy adoption in financial services including in anti-money laundering (AML) operations.

Adverse media screening has emerged as a prime use case of AI application because AI technology has the potential to transform adverse media screening. Traditional technology used in adverse media screening, which primarily relies on keyword-based searches, is proving inefficient and ineffective in scanning a vast and rapidly expanding media universe. AI techniques such as Natural Language Processing (NLP) can greatly improve analysis of textual and unstructured data analysis and can bring about a paradigm change in adverse media screening. Financial institutions have started exploring the application of AI in adverse media and we have come across impressive outcomes reported by early adopters.

On August 18th at 14:00 ET Celent Senior Analyst Arin Ray will join Prav Chandrasekaran, BSA Officer at Varo Money, and Ari Tuchman, CEO & Co-Founder of Quantifind, for a webinar discussion on how solutions powered by next generation technology can help strengthen adverse media screening. The webinar is entitled "Transforming Adverse Media Screening." The session will be moderated by Adam Mulliken, SVP, Product, at Quantifind.

To learn more about the event or to register click here.

This follows from the Celent report "Transforming Adverse Media Screening: A New Paradigm Powered by AI."