In partnership with Xilinx and Supermicro, Cortical.io introduces its Messaging Classification Appliance, a pre-packaged software and hardware solution that can filter, classify, and route stream of messages in real time at a massive scale.
For example, the solution is able to route incoming inquiries from a general email address to the appropriate department based on the content of the email. The solution can be implemented to track customer satisfaction by extracting meaningful content from incoming messages, monitor outgoing emails for compliance adherence, or filter streams of news or social media data.
With Cortical.io's approach to messaging classification, enterprises have an out-of-the-box solution for mining emails for business content and classifying them, that comes as a pre-trained appliance with standard filters. If customized filtering is needed, it can be done with a fraction of the training data, as well as much higher accuracy and efficiency compared to other models.
The implementation of Cortical.io's core NLU algorithms on Xilinx FPGA boards enables the Messaging Classification Appliance to handle volumes of emails that would overwhelm standard, non-accelerated classifiers. As the classifiers auto-configurate using automated machine learning, there is no need for data science or AI experts to use the appliance effectively.