"Digital Reasoning's machine learning-based analytics platform is able to read and understand all types of data, such as human communication. It semantically analyzes this information in context and aggregates knowledge about the world, and keeps getting smarter," says Tim, CEO.
Digital Reasoning uses machine learning techniques to accumulate the content bits through its analytical solution called Synthesys®. The solution can read information fast and connect hundreds, millions or billions of entities into a knowledge representation. In simple terms, Digital Reasoning makes 'software think more like people do.
Synthesys detects data that is unclear, and reads and analyzes it in a snap-shot.
Unlike others, Digital Reasoning's software does not rely upon previously proven models to make sense of the data. It derives patterns and relationships from the data itself, saving considerable time and effort by evading the need to create new models for every new type of data or analytical problem.
From identifying trading violations to connecting the dots in market research, Digital Reasoning helps clients become proactive in their efforts to accurately detect events that can have a damaging effect on their business. Its solutions also help organizations to scrutinize and examine email traffic in real-time to quickly identify risks and suspicious behavior that could present regulatory or reputational risks.
If analytics- transforming digital human language data into actionable information is getting difficult for even the most highly competent teams. However, Digital Reasoning is set to tackle this challenge in a scalable manner with its automated and intelligent analytics. The company is aiming to create a world where software learns the 'context' and 'reasoning' from human interactions and becomes more 'valuable' as the data grows and its analytics continue to reveal new and important risks and relationships.