Knowledge Graph Implementation to Enhance Micro-segmentation for Health Care
摘要
The field of marketing is rapidly evolving with the integration of machine learning (ML) and big data analytics. This transformation enables organizations to personalize their campaigns, gain deeper insights into consumer behavior, and enhance marketing tactics through micro-segmentation strategies. However, the dynamic nature of data poses challenges in operationalizing and maintaining micro-segments, necessitating specialized expertise and resources. To overcome this, organizations can leverage Knowledge Graphs to establish a network of linked data. This network forms the foundation for a Knowledge Graph-based machine learning pipeline, which comprises a series of steps aimed at enhancing the security, management, and performance of micro-segmentation. In this paper, we articulate the potential benefits of knowledge graph-based solutions for implementing micro-segmentation.