The Art of the Possible with Graph - Sudhir Hasbe - GraphSummit London 14 Nov 2023.pptx

Neo4j Inc. All rights reserved 2023
The Art of the
Possible with Graph
Sudhir Hasbe Chief Product Officer
sudhir.hasbe@neo4j.com

The world
is changing
2

THE WORLD IS CHANGING
Massive trends are
transforming
industries
3

THE WORLD IS CHANGING
MASSIVE TRENDS ARE TRANSFORMING INDUSTRIES
Connected Data
Cloud Innovation
Rise of Generative AI
4

Connected
Data

For your organization to
thrive in this new world,
you must turn data to
insights to knowledge

Relationships get lost in translation
with relational databases
Wide Data Complex Data Hierarchical & Recursive Data
Deep Hierarchies
Link Inference
Vector Similarity
7
7

Data Insights Knowledge
Uncovering relationships in data
enables insights and knowledge
Meaning derived from
analyzing data in context
Raw facts and figures Deeper understanding
built by connecting many
insights together
8

Uncovering relationships in data
enables insights and knowledge
+
Relationships
+
Semantics
9
Data Graph Knowledge Graph
Dynamic Context
Raw facts and figures Deep Dynamic Context

Real-Time Fraud
Detection
Supply Chain
Resilience
Customer
Experience
Digital Twins
Drug
Discovery
Digital Twins

Uncovering relationships and patterns in data
is driving game-changing innovation
11

Unfair Advantage
Tech giants leverage relationships in data for
breakthroughs. But it's no longer their secret.
12

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

Unified Database:
Accelerating insights to knowledge
Intelligent Operational Systems Better Predictions for Analytics
Graph Transactions,
Storage & Querying
Graph Analytics, ML,
& Data Science

Index-free adjacency = lightning-fast queries
Relational Database Neo4j Graph Database
Data is connected
as it is stored
Lightning-fast retrieval of
data and relationships via
pointer chasing
15

We found Neo4j to be literally thousands of times
faster than our prior MySQL solution, with queries
that require 10-100 times less code.
- Volker Pacher, Senior Staff Architect at eBay

Autonomous Clustering
Easy, Automated Horizontal Scale-Out
Composite Databases
Federated Queries and Sharded Graphs
Easily scale your database as your app grows
17

Answer most critical business questions
What’s important? What’s unusual? What’s next?
18

Deployed a Neo4j-powered
digital twin of London's
intricate transport network,
enabling real-time incident
response to cut congestion
and drive significant
economic savings.
£600M
Annual
economic
savings
Projected reduction
in congestion
10%
Time savings
value per driver
£1200

Cloud
Innovation

Cloud lead the DBMS revolution
55
%
of revenue coming
from cloud
21
98%
Market growth attributed
to database as a service

● Automated Upgrades
● Zero Maintenance
● Scalable and Elastic, On-Demand
● Enterprise-Grade Security
● High Availability
● Simple Pricing, Consumption-Based
● Procure through Aura Console or via
Cloud Marketplace
Focus on on your app, not infrastructure
22

Deploy in any cloud (or on-prem)
Graph-as-a-Service Self-hosted
Cloud Managed
Services
Fully-managed
DBaaS
For private and
hybrid cloud, or
on-prem
White Glove
Service
23

Programing
Languages
Messaging & Data
Processing
Data Warehouse
Connector
Neo4j BI
Connector
24
Plugs into enterprise ecosystem

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.

Rise of
Generative AI

Gen AI is everywhere
We’re at mile one of the marathon
The next big thing

The limitations of Gen AI
Hallucinates
29
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

Learns random
sentences from
random people
Talks like a person
but doesn’t really
understand what
it’s saying
Occasionally
speaks absolute
nonsense
Is a cute little bird
Yes Yes Yes Yes
Yes Yes Yes No
30
The limitations of Gen AI

Gen AI need knowledge graphs
KGs
31
LLMs
+
Better Together
Knowledge
Facts
Context
Language
Statistics
Creativity

Why can’t I just use standard vector
databases for knowledge lookup?

Vector search
analyzes documents,
knowledge graphs
connect concepts
33

Knowledge Graphs enable searches with
explicit and implicit (vectors) relationships
34

35
1
2
3
LLMs for Language Generation
RAG-based Applications
Gen AI use cases
Knowledge Graph Construction

Generate
personalized
Natural Language
experiences
37

Grounding with
Retrieval Augmented
Generation (RAG)

Natural Language
(NL) Search on
explicit relationships

42
Natural Language
Search combining
explicit and implicit
relationships

Creating a Knowledge
Graph From
Unstructured Text
was Difficult

Knowledge Graph
Creation with
Cypher Templates

© 2023 Neo4j, Inc. All rights reserved. 46
Uncovering relationships in data drives breakthroughs
Cloud powers the future of connected data and applications
Knowledge graphs + generative AI enables intelligent apps

The Art of the Possible with Graph - Sudhir Hasbe - GraphSummit London 14 Nov 2023.pptx

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to The Art of the Possible with Graph - Sudhir Hasbe - GraphSummit London 14 Nov 2023.pptx

Similar to The Art of the Possible with Graph - Sudhir Hasbe - GraphSummit London 14 Nov 2023.pptx (20)

More from Neo4j

More from Neo4j (20)

Recently uploaded

Recently uploaded (20)

The Art of the Possible with Graph - Sudhir Hasbe - GraphSummit London 14 Nov 2023.pptx