Predictive Risk Graph for Financial Institutions

•

2 likes•613 views

Speaker: Paolo Délano Alonso, IT Architect, BMO Financial Group

1Confidential |
Knowledge Graph
Integrating Internal &
External Data
August 2020
Presented by: Paolo Delano

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

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

6Confidential |
Challenge

7Confidential |
We need a modern approach to understand the relationship between enterprise data
and social media; that means integrating very different sets of data

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

9Confidential |
Click to edit Master title style
Company Facility
CountryParent
Company
Document
Organization
Collateral
Industry
Article
Guarantor
Graph
Model
Country

10Confidential |
Solution

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

12Confidential |
Our graph model allowed us to quickly find obscure relationships
between relational sources and unstructured data

13Confidential |
Finding connections between relational and unstructured data
Media article
Company
Product
Commodity
Media article
Organization
Media article
Document
Guarantor
Company
Documents
Company
Product

14Confidential |
Thank You

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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

4. 4Confidential | Company Profile

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

6. 6Confidential | Challenge

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

10. 10Confidential | Solution

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

14. 14Confidential | Thank You