Nav Mathur, Director of Enterprise Solutions, Neo4j

1. A Real-World Guide to Building
Your Knowledge Graphs
Nav Mathur
Sr. Director – Global Solutions, Neo4j, Inc.
in/navmathur
@nav_mathur

2. 2
What do these organizations have in Common?
2

3. 3
More real-world knowledge graphs

4. 4
Knowledge Graph Vs Knowledge Base
“Unlike a simple knowledge base with flat structures and static
content, a knowledge graph acquires and integrates adjacent
information using data relationships to derive new knowledge.”

5. Connected around
relevant attributes.
(contextually
related)
Dynamically
updating / not
manual
Uses intelligent
labelling and ties in
to the graph
automatically
Explainable -
Intelligent metadata
helps traverse to
find answers to
specific problems,
even when we don’t
know exactly how
to ask for it.
Usually contains
heterogeneous data
types. It combines
and uncovers
connections across
silos of information.
Key Principles of a Knowledge Graph

6. 6
Financial Services Knowledge Graph
Credit Risk Management

7. 7
Financial Services Knowledge Graph
Investment Risk Management

8. 8
Financial Services Knowledge Graph
Portfolio News Recommendations

9. 9
Portfolio News Recommendations
Data Model
User
Org
Article
Topic
Topic
Group
HAS_TOPIC
GROUP
WEIGHT
TRACKS
REFERENCES
IS_AFFILIATED
SUPPLIES
HAS_ULTIMATE_OWNER
HAS_IMMIDIATE_OWNER

10. 10
Data Orchestration Layer
Data Sources
CLIENT Admin Dashboard
Session
Data
Feedback
Scored
Recommen-
dations
Graph
Algorithms
AI / ML
Click
Stream
Data
INTELLIGENT RECOMMENDATIONS FRAMEWORK
Discovery
Exclude
Boost
Diversity
User Segmentation
Item Similarity
Recommendation Engines
Building your KG
• Modelling
• Data Ingestion
• Auto Labelling (NLP)
• Scoring
• Data Lineage
• Alerting
• Auto and human aided
merging/similarity
• Integrate ML for
refreshing /updating
the graph
RSS Feed
Org. Feed
(Graph)

11. Portfolio News
Recommendations
Demo

12. 12
720+
7/10
12/25
8/10
53K+
100+
300+
450+
Adoption
Top Retail Firms
Top Financial Firms
Top Software Vendors
Customers Partners
• Creator of the Neo4j Graph Platform
• ~250 employees
• HQ in Silicon Valley, other offices include
London, Munich, Paris and Malmö Sweden
• $80M new funding led by Morgan Stanley & One
Peak. Total $160M from Fidelity, Sunstone,
Conor, Creandum, and Greenbridge Capital
• Over 15M+ downloads & container pulls
• 300+ enterprise subscription customers
with over half with >$1B in revenue
Ecosystem
Startups in program
Enterprise customers
Partners
Meet up members
Events per year
Industry’s Largest Dedicated Investment in Graphs
Neo4j - The Graph Company

13. Thank You