GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024

Neo4j Inc. All rights reserved 2023
The Art of the
Possible with Graph
Neha Bajwa,
Vice President of Product Marketing, Neo4j
1

2
Your business is
agile and dynamic

3
But data is locked
in columns & rows

4
You’re missing valuable
connections that are
hidden in the data

5
Data, meet Graph.
Model your data like your business,
with a connected view of dynamic relationships

6
Model your data like your business
Suppliers &
Partners
Finance Customer
Network & Security
Infrastructure
Process
Product
Human Resources

7
Human Resources
Uncover relationships in the data
Suppliers &
Partners
Finance
Network & Security
Infrastructure
Process
Product
Customer
information
Payments
History
Customer • Recommendations
• Personalization
• Dynamic Pricing
• Intelligent Ads (Targeting)
• Customer Loyalty Programs
• Customer Offers
• Churn prevention

8
Suppliers &
Partners
Finance
Network & Security
Infrastructure
Process
Product
Customer
Employee
Skills
Roles
Human Resources
• Skills management
• Talent learning & development
• Career mgt
• Job search
• Orgs (who is who)

9
Human Resources
Suppliers &
Partners
Finance
Process
Product
Customer
Network & Security
Infrastructure
Assets
Access
patterns
Location
• Account/identity control
• Threat detection
• Adaptive & Intelligent access control
• Zero trust
• Reputation scoring

10
Human Resources
Suppliers &
Partners
Network & Security
Infrastructure
Process
Product
Customer
Transactions
Customer
Product
Finance
• Fraud detection
• Circular payments
• Anti-money laundering

11
Human Resources
Suppliers &
Partners
Finance
Process
Customer
Network & Security
Infrastructure
Inventory
Transactions
Reviews
Product
• Product pricing
• Product inventory
• Product recommendations
• New Product introductions
• Product Customizations

12
Human Resources
Network & Security
Infrastructure
Process
Product
Customer
Finance
Product
Supplier
Inventory
Suppliers &
Partners
• Route planning & optimization
• Risk Analysis
• Inventory planning
• Real-time shipment tracking

13
Human Resources
Suppliers &
Partners
Finance
Network & Security
Infrastructure
Product
Customer
Sales
Events
Activity
Resources
Process
• Bottleneck identiﬁcation
• Process improvement
• Process monitoring
• Process automation

14
Connect the Graphs to drive transformation
Suppliers &
Partners
Finance
Customer
Network & Security
Infrastructure
Process
Employees
Product
• Recommendations
• Personalization
• Dynamic Pricing
• Intelligent Ads (Targeting)
• Customer Loyalty Programs
• Customer Offers
• Churn prevention
•Product pricing
•Product inventory
•Product recommendations
•New Product introductions
•Product Customizations
•Account/identity control
•Threat detection
•Adaptive & Intelligent access control
•Zero trust
•Reputation scoring
•Route planning &
optimization
•Risk Analysis
•Inventory planning
•Real-time shipment
tracking
•Bottleneck identiﬁcation
•Process improvement
•Process monitoring
•Process automation
•Skills management
•Talent learning & development
•Career mgt
•Job search
•Orgs (who is who)
•Fraud detection
•Circular payments
•Anti-money laundering

15
What’s important? What’s unusual? What’s next?
Answer most critical business questions

16
Power your connections with Neo4j
Available on all
three clouds
Highly
available with
zero
administration
Model, Store
and Query
with flexibility
and agility
Uncover
hidden
patterns and
relationships

17
Employee City
Company
Nodes represent
objects (nouns)
Relationships are directional
Relationships connect nodes are
represent actions (verbs)
Relationships can have properties
(name/value pairs)
Nodes can have properties
(name/value pairs)
name: Amy Peters
date_of_birth: 1984-03-01
employee_ID: 1
:HAS_CEO
start_date: 2008-01-20
:LOCATED_IN
The Power of the Property Graph Model

18
Relational Database Neo4j Graph Database
Data is connected
as it is stored
Lightning-fast retrieval of
data and relationships via
pointer chasing
Index-free adjacency = lightning-fast queries

19
QUERY PERFORMANCE AS # OF JOINS INCREASE
Connectedness and Size of Data Set
Response
Time
Relational and
other NoSQL
databases
5+ hops
3+ degrees
Thousands of connections
0 to 2 hops
0 to 3 degrees
Few connections

20
Neo4j sets the pace of innovation
Creator of the market category, Continued market leader
2023
Neo4j 5.0 large-scale
deployments, and enhanced
AI/ML integration
2007
Open-source
release
2009
First
production-ready
version
2013
Cypher query
language released
2015
Faster data access
introduced
2017
Distributed graph
databases introduced
2019
Neo4j Aura launched
(DBaaS)
2020
Neo4j Graph Data
Science launches
2024
ISO announces GQL
standard

21
Neo4j: The best of breed, full graph stack
In memory graph
processing to
support AI/ML
workloads with
built in algos
Robust security, w.
SSO VPC peering,
ﬁne grained RBAC,
regulatory
compliance incl
SOC2 Type2
Transactional
and analytical
workloads at
scale - non-trivial!
Transactions Analytics
Incredibly rich and
powerful tools and
integrations
Run anywhere
design -
on-premises,
self-hosted, GCP,
AWS, and Azure

22
Built for complex use cases
Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Master Data
Management
Identity & Access
Management
Risk &
Compliance

23
GenAI is predicted to boost global
GDP by 7% while doubling productivity
improvements over the next decade
TheNext Growth Engine

24
The best thing,
The best thing about,
The best thing about AI,
The best thing about AI is,
The best thing about AI is its,
The best thing about AI is its ability,
The best thing about AI is its ability to,
The best thing about AI is its ability to learn,
The best thing about AI is its ability to learn from,
The best thing about AI is its ability to learn from experience.

25
Hallucinates
Limited
input sizes for
ﬁne tuning
Lack
of enterprise
domain
knowledge
Inability
to verify
answers
Sensitive
to prompt (input)
phrasing
Ethical and
data bias
concerns
Limitations of GenAI

Gen AI need knowledge graphs
KGs
LLMs
+
Better Together
Knowledge
Facts
Context
Language
Statistics
Creativity

27
Impact Radar for
Generative AI

28
Your enterprise speciﬁc facts & context
Knowledge Graphs are essential for
Enterprise Gen AI implementations
Ground your answers to prevent hallucinations
Explainability for both quicker development & assurance

29
Solving the world’s most challenging
problems across every industry
Financial
Services
Telco Retail Manufacturing Life
Sciences
Technology Logistics Government

20 / 20
Top US banks
3 / 5
Top Aircraft Manufacturers
7 / 10
Top Telcos
3 / 5
Top Hotel Groups
8 / 10
Top Insurance Companies
10 /10
Top Automakers
7 / 10
Top Retailers
5 / 5
Top Pharmaceuticals
Trusted by
75 of the
30 Neo4j Inc. All rights reserved 2024

31
Easy implementation
“Best in a class, easy to
implement, and greatly
beneﬁcial for our business.”
- Director, $3B-10B company
“Most human-friendly
Cypher dev language
with one of the best
integration capabilities”
Developer friendly

34
Chapters on:
• Pattern detection
• Dependency
• Identity
• Semantic search
• Enrichment with GDS
• Graph native ML

GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024

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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024