Achieve accurate automated filtering of content with minimal human input.
Inappropriate content is becoming one of the biggest concerns for many businesses online both from a reputational and customer experience point of view, and also from a legal risk perspective.
However, preventing and removing inappropriate content is hard because it can be subjective in some parts, and ever-changing.
Currently content moderation is performed by a mixture of humans and machine learning, although because of the above reasons, this is both costly and sub-optimal.
PrediCX™ can act as an effective dynamic Content Moderation filter by generating and updating machine learning models to ensure the appropriate levels of performance and risk to prevent the bad, enable the good and quarantine the risky content as efficiently with human labor as possible.