Introduction
Organizations generate, source, and consume vast amounts of unstructured data every day, including emails, reports, research documents, technical documentation, marketing materials, learning content and customer interactions. However, this wealth of information often remains hidden and siloed, making it challenging to utilize without proper organization. Unlike structured data, which fits neatly into databases, unstructured data often lacks a predefined format, making it difficult to extract insights or apply advanced analytics effectively.
Integrating unstructured data into a knowledge graph is the right approach to overcome organizations’ challenges in structuring unstructured data. This approach allows businesses to move beyond traditional storage and keyword search methods to unlock knowledge intelligence.