Overview
What this challenge is about.
Build a fintech customer 360 graph: design an OWL ontology, run entity resolution on 500 records, and write SPARQL queries. Earn a verifiable certificate.
The scenario
The fintech (~250 staff, USD 6bn annual SME cross-border volume) is regulated under MAS in Singapore and faces escalating compliance review pressure; a unified customer view is a board-level priority.
The Brief
What you'll do, and what you'll demonstrate.
Specify a customer-360 knowledge graph with entity resolution and weekly compliance queries that a platform team can execute.
Earning criteria — what you'll demonstrate
- Design an OWL ontology for a regulated-industry customer domain
- Apply hybrid deterministic + fuzzy entity resolution
- Author SPARQL queries that support compliance reviews
- Communicate KG design in a platform-executable specification
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Customer 360
Apply customer 360 to solve real industry problems and demonstrate production-level capability.
- Entity Resolution
Apply entity resolution to solve real industry problems and demonstrate production-level capability.
- Owl Ontology
Apply owl ontology to solve real industry problems and demonstrate production-level capability.
- Sparql
Apply sparql to solve real industry problems and demonstrate production-level capability.
- Knowledge Graphs
Apply knowledge graphs to solve real industry problems and demonstrate production-level capability.
- Spec Writing
Apply spec writing to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Solutions Architect
Designing a customer-360 KG spec for a regulated client is the AI solutions architect's daily output in fintech engagements.
This challenge sharpens
- customer-360
- knowledge-graphs
- spec-writing
Data Engineer
Implementing entity resolution and RDF modeling is core data-engineering work at any fintech with a unified-customer ambition.
This challenge sharpens
- entity-resolution
- owl-ontology
- sparql
AI Engineer
Building the compliance query layer on top of the KG is the AI-engineer skillset that fintech compliance teams hire for.
This challenge sharpens
- sparql
- knowledge-graphs
- entity-resolution