Graph models of relationships between data stored in blocks on distributed ledgers that are learned through machine learning and platforms for creating, cataloging, and storing the same

Abstract

Introduced here is a computational architecture (also referred to as a 'computational infrastructure') that addresses the limitations of traditional data management solutions using a highly secure data management solution coupled with consent-based sharing. At a high level, the computational architecture applies blockchain methodologies to both transaction data and business data such that both types of data are stored “on chain” in the same computational architecture. This enables several significant advantages over traditional data management solutions with respect to data security, data ownership, data sharing, and intelligence.