Industrial use cases of entity extraction – unleashing the power of unstructured data

Entity extraction has numerous applications across various domains, ranging from information retrieval and knowledge management to DSSs and business intelligence (BI). In this section, we will explore some practical use cases and applications of entity extraction with GenAI:

• Knowledge graph construction: Knowledge graphs are structured representations of entities and their relationships, enabling efficient storage, retrieval, and reasoning over vast amounts of information. Entity extraction plays a crucial role in the construction of knowledge graphs by identifying and classifying entities from unstructured text data, which can then be used to populate the graph’s nodes and edges. For instance, let us use the following :
  • Text: Google was founded by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University.

  With entity extraction, the following information...