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      REPORT
      AI Made to Reduce False Positives, Part 2: Vendor Spectrum
      AI Machine-made for the Reduction of False Positives
      2nd July 2018
      //AI Made to Reduce False Positives, Part 2: Vendor Spectrum

      Note: A webinar that draws on this report is available here.

      The 13 vendors profiled in the report offer a form of advanced data analysis and machine learning techniques for the reduction of false positives. Some vendors focus on access to news content, watchlists, and unstructured data, where others focus on intelligent automation, robotic process automation, or more advanced segmentation analysis. Notably fewer vendors are developing natural language processing and natural language generation techniques. Celent believes the implementation of narrative generation tools are low risk and low cost, and that these tools are suitable for the parsing, analysis, and construction of negative news content and regulatory filing narratives, as well as the generation of suspicious activity reports.

      The vendors covered in the report are Arachnys, Ayasdi, Brighterion, FICO, IBM, Intel Saffron, LexisNexis Risk Solutions, NICE Actimize, Oracle, Pelican, Regulatory DataCorp (RDC), SAS, and ThetaRay.

      Details
      Geographic Focus
      Asia-Pacific, EMEA, LATAM, North America
      Horizontal Topics
      Artificial Intelligence, Risk: Fraud & Financial Crime, Risk: Operational Risk Management
      Industry
      Corporate Banking, Retail Banking