As businesses gather vast amounts of data, they suffer with the problem of being able to extract value from the available information. Artificial intelligence-driven solutions have the ability to understand, organize, and comprehend data that increases usability for the customer. ConverSight has developed a contextual and intent based natural language processing system and method, patented this month, to enable businesses to optimize their supply chain through conversational AI.
While most businesses have successfully connected to their data, the challenge still lies in accessing it and truly leveraging it for decision making. This patent is a huge step in for creating an accessible, user-friendly interface with data. This will allow businesses to glean insights like never before using the words and channels they are most comfortable within.
ConverSight’s patent accomplishes three main tasks in understanding and processing natural language questions:
- Ability to learn and understand in a zero shot or few shot learning setup.
- Ability to use layered knowledge to derive new knowledge while interacting with users to learn users behaviour pattern and provide personalization
- Ability to understanding the user’s intent and context from previous interaction to provide insights through contextual learning centered around specified metrics
So what does all of this mean? ConverSight’s natural language processing system connects to businesses’ data sources, then transfers the data to ConverSight’s built in AI system. In this AI system data can be understood by simply loading it in. The AI system picks up on the vocabulary used throughout the data, making note of it for future use.
Following the connection to the data source, ConverSight’s AI technology extracts the critical parts of the data, creating charts and graphs depicting the information. These knowledge graphs allow users to access easy-to-understand data, without the struggle of mining the data and correlating insights themselves.
After extraction and usage of data, ConverSight’s natural language processing system then uses this information to make future predictions and recommendations to the user. These could be proactive recommendations, suggested search queries, or proposed next actions. The technology is able to understand common metrics that the customer desires, and uses contextual learning to propose crucial data for future use. This is a capability that has not previously been successfully developed in conjunction with natural language processing.
While most businesses have successfully connected to their data, the challenge still lies in accessing it and leveraging it for decision making. This patent is a huge step in creating an accessible, user-friendly interface with data. As a result it will allow businesses to glean insights like never before using the words and channels they are most comfortable with.