Press Releases

AI Made to Reduce False Positives, Part 2: Vendor Spectrum

July 2, 2018

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.

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