has enabled both companies to enhance their skillsets and has led to successful outcomes, and sometimes eye-opening moments for clients. We are leveraging machine-learning capabilities to analyze files faster, gauge exposure levels, and mitigate risk in real time.”
The solution utilizes machine vision and natural language processing to form clusters of documents and enables analytical insights. Users can organize and navigate through their document space, provide labels and tags to different clusters and investigate any cluster. DIP can process through any number and format of documents, including “unstructured” documents.
What does “unstructured documents” mean?
Unstructured documents refers specifically to documents where there’s no metadata or hierarchical organization present. Our solution doesn’t require metadata, existing labeling or folder organization.