JKA created a Random Forest machine learning model to predict customer cancellations for a client in the retail space. The model was populated with only six months of data and
Read MoreJKA was charged with developing a Predictive Failure model to identify equipment failure within a five-day window. Once implemented, the model enabled the organization to schedule maintenance prior to a
Read MoreJKA developed a progressive model for a Top 5 online marketplace. The model utilized natural language processing to identify illegal products for sale on the platform. The model’s performance result
Read MoreAn in-house team of 20 analysts at a financial company was responsible for researching and analyzing web and third party data to manage risks and compliance. The team could not
Read MoreA dedicated three-person AI team was deployed for a client in Seattle, WA. This team possessed specialized AI knowledge in the areas of Natural Language Processing and Content Moderation. The
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