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Leveraging Unstructured Data for AI

A large financial institution sought to leverage AI to analyze and review 
large volumes of unstructured data, such as emails and messages, for 
compliance violations and other business risk. However, they had 
limitations that prohibited them from implementing AI technology at the 
enterprise level. In this case, their AI application was limited to 
processing 20,000 messages per day. Additionally, certain types of 
information needed to be filtered from analysis. 

The financial institution approached ZL Tech for a solution to its big data 
problems, ultimately implementing the ZL platform to unify its data 
management and search capabilities across the enterprise.

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