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Gal Bello
Field Engineer, Israel
Feb, 2021
Agenda
❏ Hello!
❏ Neo4j, The Graph Company
❏ Our Technology
❏ Graph Data Science
❏ Neo4j in the Cloud
❏ Success Stories
❏ Demo!
❏ Q&A
Gal Bello
Field Engineer, Israel
Tagline:
“Try! At max, you'll - succeed”
7/10
20/25
7/10
Top Retail Firms
Top Financial Firms
Top Software Vendors
Anyway You Like It
Neo4j - The Graph Company
The Industry’s Largest Dedicated Investment in Graphs
Creator of the Property
Graph and Cypher language
at the core of the GQL ISO
project
Thousands of Customers
World-Wide
HQ in Silicon Valley, offices
include London, Munich,
Paris & Malmo
Industry Leaders use Neo4j
On-Prem
DB-as-a-Service
In the Cloud
A graph is set of discrete objects, each of which has some set of
relationships with the other objects
Seven Bridges of Konigsberg problem. Leonhard Euler, 1735
Graph is the Fastest Growing DBMS
Category, Neo4j is the Leading Player
FASTEST GROWING CATEGORY MOST POPULAR WITH DEVELOPERS
STRONGEST COMMUNITY
Developers
LinkedIn Skills
41k+
members with
220k+
Meetups
72k+
Members globally
Highest possible scores in:
● Performance
● Scalability
● Workloads
● Data management
● Data loading/ingestion
● Queries/search
● Use cases
● API/extensibility
● Transactions
● High availability and disaster recovery
● Deployment options
The Forrester WaveTM is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor,
product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.
Neo4j: Leading the Graph Market
Connections in Data are as
Valuable as the Data Itself
Harnessing Connections Drives Business Value
Enhanced Decision
Making
Hyper
Personalization
Massive Data
Integration
Data Driven
Discovery & Innovation
Product Recommendations
Personalized Health Care
Media and Advertising
Fraud Prevention
Network Analysis
Law Enforcement
Drug Discovery
Intelligence and Crime Detection
Product & Process Innovation
360 view of customer
Compliance
Optimize Operations
Data Science
AI & ML
Fraud Prediction
Patient Journey
Customer Disambiguation
Transforming Industries
tolerates many real-world
conditions which RDBMS can
not
“Finding relationships in
combinations of diverse data,
using graph techniques at
scale, will form the foundation
of modern data and
analytics.”
clear market
leader
a lot
more innovative than its
competitors
Graph is a Unique Advantage
Enterprise-grade native graph database and tooling:
• Store, reveal and query data relationships
• Traverse and analyze any levels of depth in real-time
• Add context to AI systems and network structures to data science
Native Graph Technology
•
•
•
•
•
•
•
•
Neo4j Graph Database Platform
Index Free Adjacency
Conceive
Code
Compute
Store
Non-Native Graph DB
Native Graph DB RDBMS
Connectedness Differentiates Neo4j
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:
date_of_birth:
employee_ID:
:HAS_CEO
start_date:
:LOCATED_IN
Nodes
• Can have Labels to classify nodes
• Labels have native indexes
Relationships
• Relate nodes by type and direction
Properties
• Attributes of Nodes & Relationships
• Stored as Name/Value pairs
• Can have indexes and composite indexes
• Visibility security by user/role
Neo4j Invented the Property Graph Model
Graph Databases: Designed for Connected Data
RELATIONAL DATABASES
NoSQL DATABASES
Real-Time storage & retrieval
Real-Time Connected Insights
Long running queries
aggregation & filtering
“Our Neo4j solution is literally thousands of times faster than the
prior MySQL solution, with queries that require 10-100 times less code”
Volker Pacher, Senior Developer
for Graph Data Science™
Neo4j Graph Data
Science Library
Scalable Graph Algorithms
& Analytics Workspace
Native Graph
Creation & Persistence
Neo4j
Database
Visual Graph Exploration
& Prototyping
Neo4j
Bloom
Practical Integrated Intuitive
Robust Graph Algorithms
• Compute connectivity metrics and learn the topology of your graph
• Highly parallelized and scale to 10’s of billions of nodes
The Neo4j GDS Library
Mutable In-Memory
Workspace
Computational Graph
Native Graph Store
Efficient & Flexible Analytics
Workspace
• Automatically reshapes transactional graphs
into an in-memory analytics graph
• Optimized for analytics with global traversals
and aggregation
• Create workflows and layer algorithms
• Degree Centrality
• Closeness Centrality
• Harmonic Centrality
• Betweenness Centrality & Approx.
• PageRank
• Personalized PageRank
• ArticleRank
• Eigenvector Centrality
• Triangle Count
• Clustering Coefficients
• Connected Components (Union Find)
• Strongly Connected Components
• Label Propagation
• Louvain Modularity
• Balanced Triad (identification)
• Shortest Path
• Single-Source Shortest Path
• All Pairs Shortest Path
• A* Shortest Path
• Yen’s K Shortest Path
• Minimum Weight Spanning Tree
• K-Spanning Tree (MST)
• Random Walk
• Breadth & Depth First Search
• Triangle Count
• Local Clustering Coefficient
• Connected Components (Union Find)
• Strongly Connected Components
• Label Propagation
• Louvain Modularity
• K-1 Coloring
• Modularity Optimization
• Euclidean Distance
• Cosine Similarity
• Node Similarity (Jaccard)
• Overlap Similarity
• Pearson Similarity
• Approximate KNN
Pathfinding
& Search
Centrality /
Importance
Community
Detection
Similarity
Link
Prediction
• Adamic Adar
• Common Neighbors
• Preferential Attachment
• Resource Allocations
• Same Community
• Total Neighbors
... Auxiliary Functions:
• Random
graph generation
• Graph export
• One hot encoding
• Distributions & metrics
Embeddings
• Node2Vec
• Random Projections
• GraphSAGE
Strong Synergy between Graphs and
Machine Learning & AI
SURGING INTEREST CONTEXT FOR ML/AI
AI research papers
focused on graphs
+100K Download, 20K in first 2 weeks
ACROSS INDUSTRIES
German Center for
Diabetes Research
Better Decisions with
Knowledge Graphs for AI
Higher ML Accuracy with
Graph Feature Engineering
Neo4j Bloom’s
Intuitive User Interface
Search with type-ahead
suggestions
Flexible Color, Size and Icon
schemes
Visualize, Explore and Discover
Pan, Zoom and Select
Property Browser and editor
Designed for Enterprise-Grade Workloads
Scalability Security Flexibility
The First Practical Way for
Enterprises to do Graph Data Science
Drastically simplified and
standardized API that enables
custom, flexible configurations
Documentation, training, and
examples so getting started
is simple
Explore graphs and algorithm
results visually with Bloom
Share insights across teams for
better collaboration
Friendly data science experience
with logical guardrails like memory
mgmt. & suggestive errors
Reshaping, node & relationship
aggregation / deduplication and
multipartite algos
Explore & Collaborate
with Neo4j Bloom
Explore Graphs Visually
Prototype Concepts Faster
Collaborate Across Teams
Neo4j Solution Frameworks
Accelerated POCs and Adoption
Intelligent Recommendation Risk Management Human Capital Management
Privacy Shield Data Orchestration
Neo4j Cloud: Flexible Deployment Models
Fully-managed SaaS
Consumption-based pricing
Cloud-native
Self-service deployment
No access to underlying
infrastructure and systems
White-glove managed service
by Neo4j experts
Fully customizable deployment
model and service levels
Operate In own data centers
or Virtual Private Cloud
Database-as-a-Service
Cloud Managed
Services (CMS)
For private, hybrid or
lift-and-shift cloud
Bring-your-own-license
Full control of your environment
Run in any cloud, in your account
Self-hosted
The world’s most popular graph
database, as a cloud service
Fully automated with zero administration
Faster innovation with the power of graphs
Scalable on-demand dynamically
Worry-free security and reliability
Simple pay-as-you-go pricing
Neo4j Aura: Built for the best developer experience
Neo4j’s open source roots backed by the strongest graph community helps deliver the best developer experience to rapidly build
rich graph-powered applications
Easy
Start in minutes
Automatic upgrades, patches
Scale on-demand instantly
Zero downtime
Powerful
Lightning-fast queries with
Native graph engine
Flexible “whiteboard”
data model
Cypher - expressive, efficient
and easy!
Broad language driver support
Reliable
End-to-end encrypted
Always ON
Globally available on world-class
infrastructure
Self-healing, durable
ACID compliant
Affordable
Pay-as-you-go
Capacity-based pricing
Billing by the hour
Simple and predictable costs
Minka
Neo4j for ACH Transaction
Processing
Background
● Minka, a Colombian fintech startup, along with ACH Colombia
modernizing the country’s ACH payments system
● Enable real-time payments transactions with a new Blockchain
based system, Transferencias Ya
Business Problem
● Need to convert an outdated batch processed ACH to the new
system and scale
● Need a robust, durable solution with guaranteed ACID
transactions to build trust among users
Solution and Benefits
● Aura powers transaction records and references for
Transferencias Ya
● With Aura, day to day operations taken care of while system
reliably operates and scales
● Pilot with 8 banks successful, expanding to all 27 banks
supporting hundreds of complex transactions every second
Neo4j Cloud Managed Services (CMS)
Enterprise-class, white-glove managed services for day-to-day operations,
service and support of your Neo4j environment
Dedicated team,
always on-call
Advanced monitoring and
preventative maintenance
Enterprise-grade security
and compliance
24x7x365 remote services
and support
Public or Private Cloud
Deployments
Your data in your
infrastructure, fully
controlled versioning
The CMS Advantage
Focus on
Innovation
… while we manage
your day-to-day
infrastructure
operations
Achieve Faster
Time-to-value
… with experts
to manage your
environment from day
one. Minimize hiring,
in-house training, and
ramp-up.
Reduce your
Risk
… and meet your
security, compliance
and business continuity
needs with proven best
practices.
Accelerate your
Cloud Journey
… by enabling a fully
managed enterprise
cloud environment and
moving your production
Neo4j environment
within days.
Highly Valuable Connected Data Use Cases
Drive Enterprise Adoption
Handling Large Graph Workloads for Enterprises
Real-time promotion
recommendations
Marriott’s Real-time
Pricing Engine
Handling Package
Routing in Real-Time
Improving Analytics, ML & AI Across Industries
Meredith Marketing
to the Anonymous
Financial Fraud
Detection & Recovery Top 10 Bank
AstraZeneca
Patient Journeys
Dun & Bradstreet
Neo4j for Tracking Beneficial
Ownership
Background
● Regulations and requirements around beneficial
ownership
● Needed to let B2B clients book new business promptly
via accelerated due diligence investigations
Business Problem
● Investigations call for highly trained staff, and this activity is
hard to scale. A single request might tie up key people for
10-15 days, resulting in lost revenue
Solution and Benefits
● Use Neo4j to quickly query historic relationships between
business owners and companies
● Query responses take milliseconds versus days of skilled
manual research
Adobe Behance
Social Network of 10M
Graphic Artists
Background
● Social network of 10M graphic artists
● Peer-to-peer evaluation of art and works-in-progress
● Job sourcing site for creatives
● Massive, millions of updates (reads & writes) to Activity Feed
● 150 Mongos to 48 Cassandras to 3 Neo4j’s!
Business Problem
● Artists subscribe, appreciate and curate “galleries” of works of their own
and from other artists
● Activities Feed is how everyone receives updates
● 1st implementation was 150 MongoDB instances
● 2nd implementation shrunk to 48 Cassandras, but it was still too slow and
required heavy IT overhead
Solution and Benefits
● 3rd implementation shrunk to 3 Neo4j instances
● Saved over $500k in annual AWS fees
● Reduced data footprint from 50TB to 40GB
● Significantly easier to introduce new features like, “New projects in your
Network”
US Army / Calibre
Systems
Equipment Logistics
Background
● US IT consulting firm helped US Army streamline equipment
deployments and maintenance spending
● Saving lives by improving the operational readiness of Army
equipment like tanks, radios, transports, aircraft, weaponry, etc.
Business Problem
● Needed to modernize procurement, budget and logistics processes for
equipment & spare parts
● Millions of connections among a tank’s bill-of-materials, for example
● Improve “what if” cost calculations when planning missions and troop
deployments
● Mainframe systems required over 60 man-hrs to calculate changes…
planning took too long
Solution and Benefits
● Shed cost estimation times by 88%
● Improved parts delivery timing and accuracy
● DBA labor required dropped by 77%
● Equipment TCO more predictable
● Safer soldiers
COMCAST
Xfinity xFi
Smart Home/ IoT
Background
● Largest Cable TV & Internet Provider in US with 3rd Largest
network on the planet
● xFi is consumer experience in 3M houses with internet, router,
devices, security, voice & telephony
Business Problem
● Integrate all experience in a smart home
● Create innovative ideas based on cross-platform and household member
preferences
● Add integrated value of xFinity triple play & quad-play services (internet,
VoIP, cable TV & home security)
Solution and Benefits
● Custom content per household member
● Security reminders (kids are home, garage left open)
● Serves millions of households
● Makes content recommendations based on occupant, time of day,
permissions and preferences
Caterpillar
Heavy Equipment
Manufacturing
Background
● Fortune 100 heavy equipment manufacturer
● 27 Million warranty & service documents parsed
Business Problem
● Improve maintenance predictability
● Need a knowledge base for 27 million warranty documents and
maintenance orders
● Graphs gather context for AI to identify ‘prime examples’ of connections
among parts, suppliers, customers and their mechanics anticipate when
equipment will need servicing and by whom
Solution and Benefits
● Knowledge graph created through Natural Language Processing (NLP) of
decades of historical service documents
● Common ontology for complaints, symptoms & parts
● Anticipates when equipment will need servicing
● Improves customer and brand satisfaction
● Maximizes lifespan and value of equipment
Meredith Inc.
Digital Media Identity
Resolution
Background
● Media conglomerate with $3.2 Billion revenue
● Owner of popular web properties including: People,
Travel+Leisure, Better Homes & Gardens
Business Problem
● Users are often anonymous across sites and devices with online cookies
that constantly change
● External data is expensive, hard to validate and quickly suffers from
cookie loss
● Poor understanding of visitor behavior reduces recommendation
effectiveness, leading to fewer clicks and less revenue
Solution and Benefits
● 612% Increase in visits tracked per profile
● 4.4 TB of data: +14 Bn nodes +20Bn relationships
● Graph algorithms to find data “clusters” that represent unique user
behavior
● Transformed 346M cookies to 163M unique users with richer & longer
lived profiles
● Connecting various data streams for continuous user identification
AstraZeneca
Patient Journey Analytics
Background
● Global pharmaceutical with $22.1Billion revenue
● Focus on oncology, cardiovascular, renal, metabolism, respiratory
Business Problem
● Complex diseases develop over years with many, many doctor visits, tests
and evolving diagnosis
● How to identify early warnings, intervene faster & improve outcomes
● No two patients are the same, so how are similarities found
Solution and Benefits
● Used Neo4j Graph Data Science Library to map and predict patient
journeys
● Kidney disease intervention project
● 3 yrs of visits, tests & diagnosis with 10’s of Bn of records
● Knowledge Graph, graph queries & algorithms
● Community detection to help find similarities over time
● Finding influence points where experienced physicians may be able to
guide and assist
Neo4j Leadership and Commitment
First mover advantage and product maturity
Thriving ecosystem; world’s largest
graph community & partner network
Thought leadership and vision Deep IP that is difficult to replicate
Proven GTM success with Enterprise - referenceable case studies from
marquee customer base and track record of customer success, stickiness &
expansion
Runs everywhere – all major cloud
environments, hybrid & private clouds,
on-premise and OEM embedded
Appendix
Neo4j—The Graph Innovator
Adapt & Optimization
by Harnessing Connections
Hyper-
Personalization
Better Decisions
Massive
Data Integration
Data Science
AI & ML
Data Driven
Discovery & Innovation
Neo4j Graph Platform
Neo4j — Changing the World
Knowledge Graph for humans & ML
Fraud Detection Knowledge Graph for humans
eBay App for
Google Assistant
Online Retail
Background
● Personal shopping assistant
● Converses with buyer via text, picture and voice to provide
real-time recommendations
● Combines AI and natural language understanding (NLU) in Neo4j
Knowledge Graph
● First of many apps in eBay's AI Platform
Business Problem
● Improve personal context in online shopping
● Transform buyer-provided context into ideal purchase recommendations
over social platforms
● "Feels like talking to a friend"
Solution and Benefits
● 3 developers, 8M nodes, 20M relationships
● Needed high-performance traversals to respond to live customer
requests
● Easy to train new algorithms and grow model
● Generating revenue since launch
● Operational workloads
● Analytics workloads
● Native property graph model
● Dynamic schema
● Cypher - Declarative query language
● Procedural language extensions
● Worldwide developer community
● Manage 10’s billions of nodes
● Run graph algorithms on billions of nodes
Your Neo4j Advantage
● Index-free adjacency
● Millions of hops per second
● Interactive graph exploration
● Graph representation of data
Neo4j Solutions [accelerate adoption]
Solutions Mission
Ideate, market and support the sale and delivery of innovative, market-leading,
Neo4j-based Business Solutions for our Enterprise Customers and Partners
Customer Benefits
Lowers Risk and TCO
Speeds up POCs &
solution visualization for
internal selling
Rapid Time-To-Value,
reduces development
& testing time by 50%
Built on extensible &
customizable frameworks
supported by Neo4j
Patient
Journey
Human Capital Management
Fraud & AML
Framework
Supply Chain
Framework
Hive
Knowledge
Graph
• Content management
• Collaboration & reuse
• Analytical tools for increasing enterprise efficiency
• Workforce rebalancing & analysis
• Skills assessment
• Predict employee flight risk, plan successions, analyze
lifetime value
• Unintended drug efficacy
• Journey map & prediction
• At-risk population identification
• Procedure risk score
• Reduce false positives
• Find collaborators & rings
• Support compliance and
investigations
• Outbound supply chain logistics
• Route planning and network
analysis
Cypher
Workbench
Risk Management Keymaker
(Applied Analytics
Pipeline)
• Cloud modeling environment
• Online and offline modes
• Collaboration features
• Model validation and constraints
• Investment / Credit / Party Risk Management
• Compliance (FRTB, BCBS 239, CCAR, BASEL)
• Faster decisions using suggestions / predictions
• Combine ML & Connected Data analysis into single analytics pipeline
• Hyper-Personalization
• Explainable scored results
• Highly performant & scalable architecture
Kettle/HOP
for Neo4j
• Privacy compliance
(GDPR, CCPA, LGPD, FCPL, …)
Privacy
Shield
• Fast visual data ingestion pipeline development
• Support for most popular data sources out of the box
• Templated best practice pipelines
• Maintainability of ingestion logic
• Citizen journey / 360
• Pseudo-anonymization
❏ Try It: Neo4j.com/download/
❏ Learn It: Neo4j.com/graphacademy/
❏ Join Us: neo4j-users.slack.com
❏ Contact Us: Neo4j.com/contact-us/
❏ Linked In: @Gal Bello
Introduction to Neo4j for the Emirates & Bahrain
Introduction to Neo4j for the Emirates & Bahrain

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Introduction to Neo4j for the Emirates & Bahrain

  • 1. Gal Bello Field Engineer, Israel Feb, 2021
  • 2. Agenda ❏ Hello! ❏ Neo4j, The Graph Company ❏ Our Technology ❏ Graph Data Science ❏ Neo4j in the Cloud ❏ Success Stories ❏ Demo! ❏ Q&A
  • 3. Gal Bello Field Engineer, Israel Tagline: “Try! At max, you'll - succeed”
  • 4. 7/10 20/25 7/10 Top Retail Firms Top Financial Firms Top Software Vendors Anyway You Like It Neo4j - The Graph Company The Industry’s Largest Dedicated Investment in Graphs Creator of the Property Graph and Cypher language at the core of the GQL ISO project Thousands of Customers World-Wide HQ in Silicon Valley, offices include London, Munich, Paris & Malmo Industry Leaders use Neo4j On-Prem DB-as-a-Service In the Cloud
  • 5. A graph is set of discrete objects, each of which has some set of relationships with the other objects Seven Bridges of Konigsberg problem. Leonhard Euler, 1735
  • 6.
  • 7. Graph is the Fastest Growing DBMS Category, Neo4j is the Leading Player FASTEST GROWING CATEGORY MOST POPULAR WITH DEVELOPERS STRONGEST COMMUNITY Developers LinkedIn Skills 41k+ members with 220k+ Meetups 72k+ Members globally
  • 8. Highest possible scores in: ● Performance ● Scalability ● Workloads ● Data management ● Data loading/ingestion ● Queries/search ● Use cases ● API/extensibility ● Transactions ● High availability and disaster recovery ● Deployment options The Forrester WaveTM is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. Neo4j: Leading the Graph Market
  • 9. Connections in Data are as Valuable as the Data Itself
  • 10. Harnessing Connections Drives Business Value Enhanced Decision Making Hyper Personalization Massive Data Integration Data Driven Discovery & Innovation Product Recommendations Personalized Health Care Media and Advertising Fraud Prevention Network Analysis Law Enforcement Drug Discovery Intelligence and Crime Detection Product & Process Innovation 360 view of customer Compliance Optimize Operations Data Science AI & ML Fraud Prediction Patient Journey Customer Disambiguation Transforming Industries
  • 11. tolerates many real-world conditions which RDBMS can not “Finding relationships in combinations of diverse data, using graph techniques at scale, will form the foundation of modern data and analytics.” clear market leader a lot more innovative than its competitors Graph is a Unique Advantage
  • 12.
  • 13. Enterprise-grade native graph database and tooling: • Store, reveal and query data relationships • Traverse and analyze any levels of depth in real-time • Add context to AI systems and network structures to data science Native Graph Technology • • • • • • • •
  • 16. Conceive Code Compute Store Non-Native Graph DB Native Graph DB RDBMS Connectedness Differentiates Neo4j
  • 17. 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: date_of_birth: employee_ID: :HAS_CEO start_date: :LOCATED_IN
  • 18. Nodes • Can have Labels to classify nodes • Labels have native indexes Relationships • Relate nodes by type and direction Properties • Attributes of Nodes & Relationships • Stored as Name/Value pairs • Can have indexes and composite indexes • Visibility security by user/role Neo4j Invented the Property Graph Model
  • 19.
  • 20.
  • 21. Graph Databases: Designed for Connected Data RELATIONAL DATABASES NoSQL DATABASES Real-Time storage & retrieval Real-Time Connected Insights Long running queries aggregation & filtering “Our Neo4j solution is literally thousands of times faster than the prior MySQL solution, with queries that require 10-100 times less code” Volker Pacher, Senior Developer
  • 22.
  • 23. for Graph Data Science™ Neo4j Graph Data Science Library Scalable Graph Algorithms & Analytics Workspace Native Graph Creation & Persistence Neo4j Database Visual Graph Exploration & Prototyping Neo4j Bloom Practical Integrated Intuitive
  • 24. Robust Graph Algorithms • Compute connectivity metrics and learn the topology of your graph • Highly parallelized and scale to 10’s of billions of nodes The Neo4j GDS Library Mutable In-Memory Workspace Computational Graph Native Graph Store Efficient & Flexible Analytics Workspace • Automatically reshapes transactional graphs into an in-memory analytics graph • Optimized for analytics with global traversals and aggregation • Create workflows and layer algorithms
  • 25. • Degree Centrality • Closeness Centrality • Harmonic Centrality • Betweenness Centrality & Approx. • PageRank • Personalized PageRank • ArticleRank • Eigenvector Centrality • Triangle Count • Clustering Coefficients • Connected Components (Union Find) • Strongly Connected Components • Label Propagation • Louvain Modularity • Balanced Triad (identification) • Shortest Path • Single-Source Shortest Path • All Pairs Shortest Path • A* Shortest Path • Yen’s K Shortest Path • Minimum Weight Spanning Tree • K-Spanning Tree (MST) • Random Walk • Breadth & Depth First Search • Triangle Count • Local Clustering Coefficient • Connected Components (Union Find) • Strongly Connected Components • Label Propagation • Louvain Modularity • K-1 Coloring • Modularity Optimization • Euclidean Distance • Cosine Similarity • Node Similarity (Jaccard) • Overlap Similarity • Pearson Similarity • Approximate KNN Pathfinding & Search Centrality / Importance Community Detection Similarity Link Prediction • Adamic Adar • Common Neighbors • Preferential Attachment • Resource Allocations • Same Community • Total Neighbors ... Auxiliary Functions: • Random graph generation • Graph export • One hot encoding • Distributions & metrics Embeddings • Node2Vec • Random Projections • GraphSAGE
  • 26. Strong Synergy between Graphs and Machine Learning & AI SURGING INTEREST CONTEXT FOR ML/AI AI research papers focused on graphs +100K Download, 20K in first 2 weeks ACROSS INDUSTRIES German Center for Diabetes Research Better Decisions with Knowledge Graphs for AI Higher ML Accuracy with Graph Feature Engineering
  • 27. Neo4j Bloom’s Intuitive User Interface Search with type-ahead suggestions Flexible Color, Size and Icon schemes Visualize, Explore and Discover Pan, Zoom and Select Property Browser and editor
  • 28. Designed for Enterprise-Grade Workloads Scalability Security Flexibility
  • 29. The First Practical Way for Enterprises to do Graph Data Science Drastically simplified and standardized API that enables custom, flexible configurations Documentation, training, and examples so getting started is simple Explore graphs and algorithm results visually with Bloom Share insights across teams for better collaboration Friendly data science experience with logical guardrails like memory mgmt. & suggestive errors Reshaping, node & relationship aggregation / deduplication and multipartite algos
  • 30. Explore & Collaborate with Neo4j Bloom Explore Graphs Visually Prototype Concepts Faster Collaborate Across Teams
  • 31. Neo4j Solution Frameworks Accelerated POCs and Adoption Intelligent Recommendation Risk Management Human Capital Management Privacy Shield Data Orchestration
  • 32.
  • 33. Neo4j Cloud: Flexible Deployment Models Fully-managed SaaS Consumption-based pricing Cloud-native Self-service deployment No access to underlying infrastructure and systems White-glove managed service by Neo4j experts Fully customizable deployment model and service levels Operate In own data centers or Virtual Private Cloud Database-as-a-Service Cloud Managed Services (CMS) For private, hybrid or lift-and-shift cloud Bring-your-own-license Full control of your environment Run in any cloud, in your account Self-hosted
  • 34. The world’s most popular graph database, as a cloud service Fully automated with zero administration Faster innovation with the power of graphs Scalable on-demand dynamically Worry-free security and reliability Simple pay-as-you-go pricing
  • 35. Neo4j Aura: Built for the best developer experience Neo4j’s open source roots backed by the strongest graph community helps deliver the best developer experience to rapidly build rich graph-powered applications Easy Start in minutes Automatic upgrades, patches Scale on-demand instantly Zero downtime Powerful Lightning-fast queries with Native graph engine Flexible “whiteboard” data model Cypher - expressive, efficient and easy! Broad language driver support Reliable End-to-end encrypted Always ON Globally available on world-class infrastructure Self-healing, durable ACID compliant Affordable Pay-as-you-go Capacity-based pricing Billing by the hour Simple and predictable costs
  • 36. Minka Neo4j for ACH Transaction Processing Background ● Minka, a Colombian fintech startup, along with ACH Colombia modernizing the country’s ACH payments system ● Enable real-time payments transactions with a new Blockchain based system, Transferencias Ya Business Problem ● Need to convert an outdated batch processed ACH to the new system and scale ● Need a robust, durable solution with guaranteed ACID transactions to build trust among users Solution and Benefits ● Aura powers transaction records and references for Transferencias Ya ● With Aura, day to day operations taken care of while system reliably operates and scales ● Pilot with 8 banks successful, expanding to all 27 banks supporting hundreds of complex transactions every second
  • 37. Neo4j Cloud Managed Services (CMS) Enterprise-class, white-glove managed services for day-to-day operations, service and support of your Neo4j environment Dedicated team, always on-call Advanced monitoring and preventative maintenance Enterprise-grade security and compliance 24x7x365 remote services and support Public or Private Cloud Deployments Your data in your infrastructure, fully controlled versioning
  • 38. The CMS Advantage Focus on Innovation … while we manage your day-to-day infrastructure operations Achieve Faster Time-to-value … with experts to manage your environment from day one. Minimize hiring, in-house training, and ramp-up. Reduce your Risk … and meet your security, compliance and business continuity needs with proven best practices. Accelerate your Cloud Journey … by enabling a fully managed enterprise cloud environment and moving your production Neo4j environment within days.
  • 39.
  • 40. Highly Valuable Connected Data Use Cases Drive Enterprise Adoption
  • 41. Handling Large Graph Workloads for Enterprises Real-time promotion recommendations Marriott’s Real-time Pricing Engine Handling Package Routing in Real-Time
  • 42. Improving Analytics, ML & AI Across Industries Meredith Marketing to the Anonymous Financial Fraud Detection & Recovery Top 10 Bank AstraZeneca Patient Journeys
  • 43. Dun & Bradstreet Neo4j for Tracking Beneficial Ownership Background ● Regulations and requirements around beneficial ownership ● Needed to let B2B clients book new business promptly via accelerated due diligence investigations Business Problem ● Investigations call for highly trained staff, and this activity is hard to scale. A single request might tie up key people for 10-15 days, resulting in lost revenue Solution and Benefits ● Use Neo4j to quickly query historic relationships between business owners and companies ● Query responses take milliseconds versus days of skilled manual research
  • 44. Adobe Behance Social Network of 10M Graphic Artists Background ● Social network of 10M graphic artists ● Peer-to-peer evaluation of art and works-in-progress ● Job sourcing site for creatives ● Massive, millions of updates (reads & writes) to Activity Feed ● 150 Mongos to 48 Cassandras to 3 Neo4j’s! Business Problem ● Artists subscribe, appreciate and curate “galleries” of works of their own and from other artists ● Activities Feed is how everyone receives updates ● 1st implementation was 150 MongoDB instances ● 2nd implementation shrunk to 48 Cassandras, but it was still too slow and required heavy IT overhead Solution and Benefits ● 3rd implementation shrunk to 3 Neo4j instances ● Saved over $500k in annual AWS fees ● Reduced data footprint from 50TB to 40GB ● Significantly easier to introduce new features like, “New projects in your Network”
  • 45. US Army / Calibre Systems Equipment Logistics Background ● US IT consulting firm helped US Army streamline equipment deployments and maintenance spending ● Saving lives by improving the operational readiness of Army equipment like tanks, radios, transports, aircraft, weaponry, etc. Business Problem ● Needed to modernize procurement, budget and logistics processes for equipment & spare parts ● Millions of connections among a tank’s bill-of-materials, for example ● Improve “what if” cost calculations when planning missions and troop deployments ● Mainframe systems required over 60 man-hrs to calculate changes… planning took too long Solution and Benefits ● Shed cost estimation times by 88% ● Improved parts delivery timing and accuracy ● DBA labor required dropped by 77% ● Equipment TCO more predictable ● Safer soldiers
  • 46. COMCAST Xfinity xFi Smart Home/ IoT Background ● Largest Cable TV & Internet Provider in US with 3rd Largest network on the planet ● xFi is consumer experience in 3M houses with internet, router, devices, security, voice & telephony Business Problem ● Integrate all experience in a smart home ● Create innovative ideas based on cross-platform and household member preferences ● Add integrated value of xFinity triple play & quad-play services (internet, VoIP, cable TV & home security) Solution and Benefits ● Custom content per household member ● Security reminders (kids are home, garage left open) ● Serves millions of households ● Makes content recommendations based on occupant, time of day, permissions and preferences
  • 47. Caterpillar Heavy Equipment Manufacturing Background ● Fortune 100 heavy equipment manufacturer ● 27 Million warranty & service documents parsed Business Problem ● Improve maintenance predictability ● Need a knowledge base for 27 million warranty documents and maintenance orders ● Graphs gather context for AI to identify ‘prime examples’ of connections among parts, suppliers, customers and their mechanics anticipate when equipment will need servicing and by whom Solution and Benefits ● Knowledge graph created through Natural Language Processing (NLP) of decades of historical service documents ● Common ontology for complaints, symptoms & parts ● Anticipates when equipment will need servicing ● Improves customer and brand satisfaction ● Maximizes lifespan and value of equipment
  • 48. Meredith Inc. Digital Media Identity Resolution Background ● Media conglomerate with $3.2 Billion revenue ● Owner of popular web properties including: People, Travel+Leisure, Better Homes & Gardens Business Problem ● Users are often anonymous across sites and devices with online cookies that constantly change ● External data is expensive, hard to validate and quickly suffers from cookie loss ● Poor understanding of visitor behavior reduces recommendation effectiveness, leading to fewer clicks and less revenue Solution and Benefits ● 612% Increase in visits tracked per profile ● 4.4 TB of data: +14 Bn nodes +20Bn relationships ● Graph algorithms to find data “clusters” that represent unique user behavior ● Transformed 346M cookies to 163M unique users with richer & longer lived profiles ● Connecting various data streams for continuous user identification
  • 49. AstraZeneca Patient Journey Analytics Background ● Global pharmaceutical with $22.1Billion revenue ● Focus on oncology, cardiovascular, renal, metabolism, respiratory Business Problem ● Complex diseases develop over years with many, many doctor visits, tests and evolving diagnosis ● How to identify early warnings, intervene faster & improve outcomes ● No two patients are the same, so how are similarities found Solution and Benefits ● Used Neo4j Graph Data Science Library to map and predict patient journeys ● Kidney disease intervention project ● 3 yrs of visits, tests & diagnosis with 10’s of Bn of records ● Knowledge Graph, graph queries & algorithms ● Community detection to help find similarities over time ● Finding influence points where experienced physicians may be able to guide and assist
  • 50. Neo4j Leadership and Commitment First mover advantage and product maturity Thriving ecosystem; world’s largest graph community & partner network Thought leadership and vision Deep IP that is difficult to replicate Proven GTM success with Enterprise - referenceable case studies from marquee customer base and track record of customer success, stickiness & expansion Runs everywhere – all major cloud environments, hybrid & private clouds, on-premise and OEM embedded
  • 53. Adapt & Optimization by Harnessing Connections Hyper- Personalization Better Decisions Massive Data Integration Data Science AI & ML Data Driven Discovery & Innovation
  • 55. Neo4j — Changing the World Knowledge Graph for humans & ML Fraud Detection Knowledge Graph for humans
  • 56. eBay App for Google Assistant Online Retail Background ● Personal shopping assistant ● Converses with buyer via text, picture and voice to provide real-time recommendations ● Combines AI and natural language understanding (NLU) in Neo4j Knowledge Graph ● First of many apps in eBay's AI Platform Business Problem ● Improve personal context in online shopping ● Transform buyer-provided context into ideal purchase recommendations over social platforms ● "Feels like talking to a friend" Solution and Benefits ● 3 developers, 8M nodes, 20M relationships ● Needed high-performance traversals to respond to live customer requests ● Easy to train new algorithms and grow model ● Generating revenue since launch
  • 57. ● Operational workloads ● Analytics workloads ● Native property graph model ● Dynamic schema ● Cypher - Declarative query language ● Procedural language extensions ● Worldwide developer community ● Manage 10’s billions of nodes ● Run graph algorithms on billions of nodes Your Neo4j Advantage ● Index-free adjacency ● Millions of hops per second ● Interactive graph exploration ● Graph representation of data
  • 58.
  • 59. Neo4j Solutions [accelerate adoption] Solutions Mission Ideate, market and support the sale and delivery of innovative, market-leading, Neo4j-based Business Solutions for our Enterprise Customers and Partners Customer Benefits Lowers Risk and TCO Speeds up POCs & solution visualization for internal selling Rapid Time-To-Value, reduces development & testing time by 50% Built on extensible & customizable frameworks supported by Neo4j
  • 60. Patient Journey Human Capital Management Fraud & AML Framework Supply Chain Framework Hive Knowledge Graph • Content management • Collaboration & reuse • Analytical tools for increasing enterprise efficiency • Workforce rebalancing & analysis • Skills assessment • Predict employee flight risk, plan successions, analyze lifetime value • Unintended drug efficacy • Journey map & prediction • At-risk population identification • Procedure risk score • Reduce false positives • Find collaborators & rings • Support compliance and investigations • Outbound supply chain logistics • Route planning and network analysis
  • 61. Cypher Workbench Risk Management Keymaker (Applied Analytics Pipeline) • Cloud modeling environment • Online and offline modes • Collaboration features • Model validation and constraints • Investment / Credit / Party Risk Management • Compliance (FRTB, BCBS 239, CCAR, BASEL) • Faster decisions using suggestions / predictions • Combine ML & Connected Data analysis into single analytics pipeline • Hyper-Personalization • Explainable scored results • Highly performant & scalable architecture Kettle/HOP for Neo4j • Privacy compliance (GDPR, CCPA, LGPD, FCPL, …) Privacy Shield • Fast visual data ingestion pipeline development • Support for most popular data sources out of the box • Templated best practice pipelines • Maintainability of ingestion logic • Citizen journey / 360 • Pseudo-anonymization
  • 62.
  • 63. ❏ Try It: Neo4j.com/download/ ❏ Learn It: Neo4j.com/graphacademy/ ❏ Join Us: neo4j-users.slack.com ❏ Contact Us: Neo4j.com/contact-us/ ❏ Linked In: @Gal Bello