Predictive Risk Graph for Financial Institutions
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Speaker: Paolo Délano Alonso, IT Architect, BMO Financial Group
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Predictive Risk Graph for Financial Institutions
- 1. 1Confidential | Knowledge Graph Integrating Internal & External Data August 2020 Presented by: Paolo Delano
- 2. 2Confidential | Click to edit Master title style This presentation was prepared by Paolo Delano in his personal capacity. The content and opinions expressed in this presentation are the author's own and do not reflect the views, policies, opinions or otherwise of BMO Financial Group. Disclaimer
- 3. 3Confidential | Click to edit Master title style Agenda 1 Company Profile 2 Challenge 3 Solution 4 Knowledge Graph Capabilities
- 5. 5Confidential | BMO Bank of Montreal at a glance As of January 31, 2020 8thlargest bank by assets million customers globally Years of experience 12+ 203Billion in total assets $880
- 7. 7Confidential | We need a modern approach to understand the relationship between enterprise data and social media; that means integrating very different sets of data
- 8. 8Confidential | Click to edit Master title styleIntegrating sources with structured and unstructured data Integration Entity Extraction Unstructured documents mention entities, countries, industries, etc. that could be related to internal data Sentiment How do we measure the sentiment of a social media post? Entity Matching Relating to subjects mentioned on social media Data source overview Each data source came with its own set of challenges Portfolio Management Document Management Social MediaRelational Sources Unstructured Sources
- 9. 9Confidential | Click to edit Master title style Company Facility CountryParent Company Document Organization Collateral Industry Article Guarantor Graph Model Country
- 11. 11Confidential | Click to edit Master title style We solved the first challenge using a plugin and neo4j. We now had all data sources connected Neo4j Plugin Tika OpenNLP React NodeJS Neo4j driver Dashboard Structured data Unstructured data Solution Alert Social Media
- 12. 12Confidential | Our graph model allowed us to quickly find obscure relationships between relational sources and unstructured data
- 13. 13Confidential | Finding connections between relational and unstructured data Media article Company Product Commodity Media article Organization Media article Document Guarantor Company Documents Company Product