A presentation given at Neo4j GraphDay Chicago

1. Utpal Bhatt
VP Global Marketing, Neo4j
utpal.bhatt@neotechnology.com
@bhatt_utpal
#neo4j

2. 09:00-09:30
09:30-10:15
10:15-11:00
11:00-11:30
11:30-12:30
12:30-13:30
13:30-17:00
Breakfast and Registration
The Connected Data Imperative: Why
Graphs
Transform Your Data: A Worked Example
Break
Enterprise Ready: A Look at
Neo4j in Production
Lunch
Hands-On Training Session
Agenda

3. The Connected Data
Imperative: Why Graphs?
Neo4j GraphDay, Chicago
June 2017

4. • World’s leading (and first) graph-database
• 150+ employees
• 50% in USA, 50% in EMEA
• HQ in San Mateo, CA, Engineering HQ in
Malmö, Sweden
• VC-financed by leading investors incl Fidelity
• Average YoY growth since 2011 > 100%
• Our core belief: connections in data are as
important as the data itself
San Mateo, CA
(Head Quarters)
New York City
North America
Neo4j Today:
Sydney
Asia / Pacific
London
München
Malmö
Europe & Middle East
Stockholm
The World’s Leading Graph Database

6. ACCOUNT
HAS
REGISTERED
ADDRESS
PERSON
IS_OFFICER_OF
PERSON
NAME
STREET
BANK
WITH
LIVES_AT
LIVES_AT
NAME
COMPANY
BANK
BAHAMAS
2.6 TB
11,5 million documents
Emails, Scanned Documents,
Bank Statements etc…

7. 2.6 TB
11,5 million documents
Emails, Scanned Documents,
Bank Statements etc… Person B
Bank US
Account
Person A
Company
Bank
Bahamas
Address
HAS
REGISTERED
IS_OFFICER_OF
WITH
LIVES_AT
LIVES_AT
NODE
RELATIONSHIP

8. 2.6 TB
11,5 million documents
Emails, Scanned Documents,
Bank Statements etc…

12. ICIJ Pulitzer Prize Winner 2017

13. Johnson Space Center
Houston, Texas

17. “Lessons Learned Database”
A half-century of collective NASA engineering knowledge

18. “Lessons Learned”
Database
GRAPH DB
Load Data

19. “Lessons Learned”
Database
GRAPH DB
Load Data

20. Let’s Hear a Few Stories
Impact

21. Let’s Hear a Few Stories
— David Meza, Chief Knowledge Architect at NASA
“Neo4j saved well over two
years of work and one million
dollars of taxpayer funds.”
Impact

22. Store / Retrieve

23. Store / Retrieve

24. Store / Retrieve

25. Store / Retrieve

26. Store / Retrieve Actionable Insights

27. Neo4j Adoption

28. “Forrester estimates that over
25% of enterprises will be using
graph databases by 2017.”
Forrester Research, 2014

29. Adoption Highlights
Retail
7 out of top 10
retailers in the world
Finance
12 out of 25 top
financial services firms
8 out of top 10
software vendors
Software
(As per 2017)

30. Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Master Data
Management
Graph-Based
Search
Identity & Access
Management
Common Graph DB Use Cases

31. Startup Adoption
≤ 20 employees
Free Neo4j Enterprise Subscription
(Unsupported)
≤ 50 employees
Startup Pricing
(Includes Support)
Tiers, Neo4j Startup Program

32. 470

33. ?

34. Sustainable Competitive Advantage

35. Case Study: The Consumer Web
C
34,3%B
38,4%A
3,3%
D
3,8%
1,8%
1,8%
1,8%
1,8%
1,8%
E
8,1%
F
3,9%

36. Connections in Data
Ability to Leverage Connections

37. Connections in Data Ability to Leverage Connections
Function of Time Choice of Technology

38. Good for discrete problems
Insufficient for connected
problems
RDBMS

39. Data lake
Good for Analytics, BI, Map Reduce
Non-Operational, Slow Queries
RDBMS

40. >50%of the Global 2000 are
Using or Piloting Neo4j!
As of today

41. Machine Learning
Deep Learning

42. Machine Learning is Based on Graphs

43. Machine Learning is Based on Graphs

44. Knowledge Graphs

45. Context drives meaning and
precision for Machine
Learning systems

46. FATHER_OF DRIVE
LIVES_IN
M
ARRIED_T
O
PLAYS
WHATCHES
BORN_I
N

47. Knowledge Graphs
“Graph-based machine learning is a powerful tool that can
be used to power useful features such as reminders in
Inbox and smart messaging in Allo, or used in conjunction
with deep neural networks to power the latest image
recognition system in Google Photos."

48. Knowledge Graphs with Neo4j

49. Your Homework - Connect