Neo4j's Bryan Evans talks about the company's fraud detection strategy, based on a database of knowledge graphs, at AWS Financial Services Symposium.

Developers can implement Azure Data Factory to ingest data from OneLake into Neo4j, extract data from Synapse Data Warehouse using the Neo4j data warehouse connector, run Graph Data Science algorithms ...

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

Knowledge graphs—machine-readable data representations that mimic human knowledge—are bridging the gap between proprietary enterprise data and safe, reliable, helpful LLMs.