How DBS Connect Knowledge with a Knowledge Quotient Framework

The discussion between Robin and Anand Sundarraman, Senior Vice President of DBS Bank, highlights the implementation of knowledge graphs in a bank's data platform to achieve customer 360. The team brought together siloed customer data using graph databases and knowledge graphs, enabling sophisticated questions and deep insights. They used semantics and ontologies to automate steps, automated some manual tasks, and applied data science algorithms. The knowledge graph has helped identify products to sell to customers based on transaction patterns and buying behavior, as well as connect with corporate buyers and suppliers. DBS's internal term for this project is "knowledge quotient," representing the real-world information in bankers' heads. Anand suggests starting small with a specific use case or problem to solve, then expanding from there, and emphasizes the importance of graph data science (GDS) in enhancing knowledge graphs.

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