PrediCX uses data that is available in the form of complaints, warranty, customer voice, reviews, etc. to develop automated predictive models for analytics. It minimizes the requirement for human intervention.
Accuracy: Using Optimized Learning Technology means exceptionally high levels of accuracy.
Intelligent labelling: Instead of keywords, this solution works on labelling concepts
Real-time warning: Since labelling is provided in real time, and possible issues are identified before they occur, in order to carry out the necessary action.
Easy-to-use modelling: Since the modelling interface is extremely easy to use, it makes the deployment and maintenance of machine learning easy.
Model updating: The process of tuning models to enhance and update projects is possible without affecting performance.
Consolidating data: All unstructured data is easily collated and combined into silos.