Morgan Stanley Data-Centric Knowledge Graph Development

This document is a case study detailing Morgan Stanley's journey towards a data-centric approach utilizing a semantic knowledge graph. The primary objective outlined is to enhance the firm's ability to retrieve, retain, and protect information across various departments. The Information Management team, led by Nic Seyot, is responsible for developing a firm-wide ontology that addresses trading surveillance, compliance, and operational risk. The case study describes how the knowledge graph is being built to answer complex compliance and risk questions, leveraging semantic modeling and ontologies. It highlights the collaboration with Semantic Arts to create a core ontology that encompasses various aspects of the firm's operations, including personnel and records management. The document emphasizes the success of standardizing ETL processes and virtualization to structure information within the knowledge graph, facilitating enterprise search capabilities. Additionally, it notes the creation of a Semantic Modeling and Ontology Consortium to govern the ontology, promoting interdepartmental cooperation.