Minitab Free crack Download (Latest 2025)

Neo4j Inc. All rights reserved 2023
Dr. Jesús Barrasa, Head of Solutions Architecture EMEA

The World
Is Changing
2

THE WORLD IS CHANGING
Massive Technology
Trends Are Transforming
Industries
3

To thrive in this new
world, your organization
must derive insights from
data to create knowledge

Explore the connections in your data to
unlock deeper insights

6
A ring…
or a money laundering scheme

7
r a critical device in a network
or a critical device in a network
A star…

8
or a community of people
A cloud…

Graph creates a
connected view of data
that is intuitive and
actionable.
9

10
The Property Graph: Simply Powerful
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

11
Cypher (GQL): Pattern Based
MATCH (p:Employee {employee_ID: 1})-[r:WORKS_AT*..3]-(c:Company)
RETURN c.name as company, count(*) as strength
ORDER BY strength DESC
Node
Pattern
Relationship
Pattern

12
https://www.iso.org/standard/76120.html
“Neo4j Welcomes
New GQL
International
Standard in Major
Milestone for
Database Industry”
https://neo4j.com/press-releases/gql-standard/
SAN MATEO, Calif. – April 17, 2024

Revealing patterns in data for
deeper insight and knowledge
+
Relationships
+
Domain
Terminology
13
Data Graph Knowledge Graph
Dynamic context
Raw facts and figures Deep dynamic context

14
Chapters on:
• Pattern detection
• Dependency
• Identity
• Semantic search
• Enrichment with GDS
• Graph native ML

Real-time fraud
detection
Supply chain
resilience
Customer
experience
Digital Twins
Drug
discovery
Digital twin

Uncovering knowledge from data drives innovation
16

An Unfair Advantage
Tech giants have long used graphs
for breakthroughs. But graphs are no longer
exclusively theirs.
17

Helping solve the world’s most challenging
problems across every industry
Financial
Services
Telco Retail Manufacturing Life
Sciences
Technology Logistics Government
18

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

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.
200%
Fraud detection
improvement
Losses prevented
annually
$40M+ 2.2B
Relationships

Autonomous Clustering
Easy, automated horizontal scale-out
Composite Databases
Federated queries and sharded graphs
21
Graph Data at Scale

● 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
Cloud Scale
22 Neo4j Inc. All rights reserved 2024

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

24
40.4165 > 41.9 ???
🤨
41.3275 < 41.9
👍
🤨

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

GenAI Needs Knowledge Graphs
LLMs
26
KGs +
Better Together
Knowledge
Facts
Context
Language
Statistics
Creativity

1
2
3
LLMs for Language Generation
RAG-based GenAI Applications
GenAI Integrations
Knowledge Graph Construction and GraphRAG
27

1 LLMs for Language Generation
GenAI Integrations
2
3
28

Generate
Personalized
Natural Language
Experiences
29

2
3
GenAI Integrations
3 Knowledge Graph Construction and GraphRAG
30

Grounding With
Retrieval Augmented
Generation (RAG)
31

Knowledge graphs enable search with
explicit and implicit (vector) relationships

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

Vectors act as an
integration point
between geometric
and topological
worlds
34

3
GenAI Integrations
2 RAG-based GenAI Applications
35

Historically, creating
a knowledge graph
from unstructured
text was difficult

GraphRAG: Unlocking
superior reasoning with
data relationships
1. Ingest Text Data
2. Generate Knowledge Graph
3. Import Into Graph Database
4. Create Semantic Hierarchies
5. Augment Retrieval
6. Deeper Understanding

GraphRAG: Unlocking
superior reasoning with
data relationships
1. Ingest Text Data
2. Generate Knowledge Graph
3. Import Into Graph Database
4. Create Semantic Hierarchies
5. Augment Retrieval
6. Deeper Understanding
"Initial results show that GraphRAG
consistently outperforms baseline RAG”

reserved.
40
Impact Radar for
Generative AI

reserved.
How will you
transform your
organization?

reserved.
Enjoy
GraphSummit
Milan
jesus.barrasa@neo4j.com
Follow us!
@neo4j

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