Fujitsu Causal Knowledge Graph whitepaper published

In today's rapidly changing VUCA (Volatile, Uncertain, Complex, and Ambiguous) era, efficient decision-making based on data is essential for organizations. However, relying solely on an organization's own data is insufficient. It is necessary to perform integrated analysis of diverse data, including trends from surrounding organizations, regions, and other fields, and to conduct logical reasoning based on the causal relationships between these data.
To address this challenge, Fujitsu proposes the "Causal Knowledge Graph." This concept merges two technologies that Fujitsu has cultivated over many years: the "Knowledge Graph," which visualizes relationships between data to support information retrieval and reasoning, and "Causal Analysis," which estimates the causal relationships inherent in the data. The Causal Knowledge Graph integrates and stores the causal relationships and related knowledge contained within the data, enabling efficient decision-making based on data.

This white paper provides a detailed explanation of the concept of the Causal Knowledge Graph, the underlying technological trends, the technologies for constructing and utilizing the Causal Knowledge Graph, and its use cases.