Presentation from GraphTour Boston - Using Knowledge Graphs to Predict Customer Needs

1. © 2019 GraphAware Ltd. All rights reserved.
The graph-powered Insights Engine
Using Knowledge Graphs
Alessandro Negro, Chief Scientist @ GraphAware
graphaware.com - @graph_aware, @AlessandroNegro
to predict customer needs, improve
product quality and save costs

2. © 2019 GraphAware Ltd. All rights reserved.
© 2019 GraphAware Ltd. All rights reserved.

3. © 2019 GraphAware Ltd. All rights reserved.
Why am I receiving
so many complaints?
“
”
What can I propose
to my customers to
make them happier?
“
”
Why are the
production costs
increasing so much?
“
”
Where can my
production chain
be improved?
“
”
Does a common
pattern exist in all
these failures?
“
”

4. © 2019 GraphAware Ltd. All rights reserved.
Where would you start?

5. © 2019 GraphAware Ltd. All rights reserved.
Data Information
Knowledge
Insight
Wisdom
Simulation
Yesterday’s solutions Today’s solutions Near future solutions
From Data to Simulation

6. © 2019 GraphAware Ltd. All rights reserved.
The Data Warehouse approach
CRM
BILLING
ERP
CSV/FLAT FILES
DATA WAREHOUSE
ANALYTICS
REPORTING
ETL

7. © 2019 GraphAware Ltd. All rights reserved.
• An OLAP on [multiple] OLTP
• Neither events nor relationships amongst them are stored
• KPIs are hard to evaluate
The Data Warehouse approach
It is a data-driven decision making process!

8. © 2019 GraphAware Ltd. All rights reserved.
Where is the knowledge?

9. © 2019 GraphAware Ltd. All rights reserved.
The Search Engine approach
DATABASE
SOCIAL
WEB APIs
SaaS SERVICES
SEARCH ENGINE
ETL

10. © 2019 GraphAware Ltd. All rights reserved.
• Documents are isolated
• KPI based approach
• It is hard to reveal common complex patterns
The Search Engine approach
It is an information-driven decision making process!

11. © 2019 GraphAware Ltd. All rights reserved.
Where is the knowledge?

12. © 2019 GraphAware Ltd. All rights reserved.
The Graph approach
C L A I M
C L A I M
CLAIM
Prod Serial: 45367
Prod ID: 234987
Claim: The car has the rear
window broken. This is the third
time in a month
Seller ID: fdew342
CLAIM
Prod Serial: s24167-34
Prod ID: s24167
Claim: The customer was driving
and after he hit a small hole the
window broke
Seller ID: csd2387

13. © 2019 GraphAware Ltd. All rights reserved.
The Graph approach
csd2387
S
E L L E R ID
fdew34
S
E L L E R ID
C L A I M
C L A I M
26453F
PR
O D U C T
I
D
26453F
PR
O D U C T
I
D
CLAIM
Prod Serial: 45367
Prod ID: 234987
Claim: The car has the rear
window broken. This is the third
time in a month
Seller ID: fdew342
CLAIM
Prod Serial: s24167-34
Prod ID: s24167
Claim: The customer was driving
and after he hit a small hole the
window broke
Seller ID: csd2387

14. © 2019 GraphAware Ltd. All rights reserved.
The Graph approach
csd2387
S
E L L E R ID
fdew34
S
E L L E R ID
C L A I M
C L A I M
26453F
PR
O D U C T
I
D
26453F
PR
O D U C T
I
D
Broken Window
I
NC I D E NT
CLAIM
Prod Serial: 45367
Prod ID: 234987
Claim: The car has the rear
window broken. This is the third
time in a month
Seller ID: fdew342
CLAIM
Prod Serial: s24167-34
Prod ID: s24167
Claim: The customer was driving
and after he hit a small hole the
window broke
Seller ID: csd2387

15. © 2019 GraphAware Ltd. All rights reserved.
The Graph approach
csd2387
S
E L L E R ID
fdew34
S
E L L E R ID
C L A I M
C L A I M
26453F
PR
O D U C T
I
D
26453F
PR
O D U C T
I
D
Broken Window
I
NC I D E NT
PRO
DU C T NO
DEPRO
DU C T NO
DE
PRO
DU C T NO
DE
PRO
DU C T NO
DE
CLAIM
Prod Serial: 45367
Prod ID: 234987
Claim: The car has the rear
window broken. This is the third
time in a month
Seller ID: fdew342
CLAIM
Prod Serial: s24167-34
Prod ID: s24167
Claim: The customer was driving
and after he hit a small hole the
window broke
Seller ID: csd2387
From_Node
5678
45367
234987
19834
2345
345
From_Node
45367
234987
19834
234987
34523
2345
Chain ID
ROM-23
ROM-23
VEN-1
VEN-1
VEN-1
ROM-23
PRODUCTION CHAIN
Node ID
2345
45367
19834
345
ChainID
26453f
s24167
sw567
234

16. © 2019 GraphAware Ltd. All rights reserved.
The Graph approach
csd2387
S
E L L E R ID
fdew34
S
E L L E R ID
California
L
OC AT I ON
Los Angeles
L
OC AT I ON
San Francisco
L
OC AT I ON
C L A I M
C L A I M
26453F
PR
O D U C T
I
D
26453F
PR
O D U C T
I
D
Broken Window
I
NC I D E NT
PRO
DU C T NO
DEPRO
DU C T NO
DE
PRO
DU C T NO
DE
PRO
DU C T NO
DE
CLAIM
Prod Serial: 45367
Prod ID: 234987
Claim: The car has the rear
window broken. This is the third
time in a month
Seller ID: fdew342
CLAIM
Prod Serial: s24167-34
Prod ID: s24167
Claim: The customer was driving
and after he hit a small hole the
window broke
Seller ID: csd2387
From_Node
5678
45367
234987
19834
2345
345
From_Node
45367
234987
19834
234987
34523
2345
Chain ID
ROM-23
ROM-23
VEN-1
VEN-1
VEN-1
ROM-23
PRODUCTION CHAIN
Node ID
2345
45367
19834
345
ChainID
26453f
s24167
sw567
234

17. © 2019 GraphAware Ltd. All rights reserved.
The Graph approach
csd2387
S
E L L E R ID
fdew34
S
E L L E R ID
California
L
OC AT I ON
Los Angeles
L
OC AT I ON
San Francisco
L
OC AT I ON
C L A I M
C L A I M
SU
PP LY NO
D
E
26453F
PR
O D U C T
I
D
26453F
PR
O D U C T
I
D
Broken Window
I
NC I D E NT
PRO
DU C T NO
DEPRO
DU C T NO
DE
PRO
DU C T NO
DE
PRO
DU C T NO
DE
CLAIM
Prod Serial: 45367
Prod ID: 234987
Claim: The car has the rear
window broken. This is the third
time in a month
Seller ID: fdew342
CLAIM
Prod Serial: s24167-34
Prod ID: s24167
Claim: The customer was driving
and after he hit a small hole the
window broke
Seller ID: csd2387
From_Node
5678
45367
234987
19834
2345
345
From_Node
45367
234987
19834
234987
34523
2345
Chain ID
ROM-23
ROM-23
VEN-1
VEN-1
VEN-1
ROM-23
PRODUCTION CHAIN
Node ID
2345
45367
19834
345
ChainID
26453f
s24167
sw567
234
Prod ID
234
sw234
we34
...
Supply
ROM-23
ROM-23
VEN-1
VEN-1
Date
04
ROM-23
VEN-1
VEN-1
SUPPLY CHAIN

18. © 2019 GraphAware Ltd. All rights reserved.
The Graph approach
csd2387
S
E L L E R ID
fdew34
S
E L L E R ID
California
L
OC AT I ON
Los Angeles
L
OC AT I ON
San Francisco
L
OC AT I ON
C L A I M
C L A I M
SU
PP LY NO
D
E
26453F
PR
O D U C T
I
D
26453F
PR
O D U C T
I
D
Broken Window
I
NC I D E NT
PRO
DU C T NO
DEPRO
DU C T NO
DE
PRO
DU C T NO
DE
PRO
DU C T NO
DE

19. © 2019 GraphAware Ltd. All rights reserved.
Knowledge Graph

20. © 2019 GraphAware Ltd. All rights reserved.
• Entities are connected by nature
• Multiple access patterns
• A concrete enabler for Artificial Intelligence
The Knowledge Graph approach
It is a knowledge-driven decision making process!

21. © 2019 GraphAware Ltd. All rights reserved.
The Knowledge Graph approach

22. © 2019 GraphAware Ltd. All rights reserved.
Ok, you convinced me.
How can I get started?

23. © 2019 GraphAware Ltd. All rights reserved.
• Extract hidden structure from the text
• Easily merge from different sources
• Analysis framework
• Visualisation tool
What should you look for?

24. © 2019 GraphAware Ltd. All rights reserved.
“GraphAware Hume converts
structured and unstructured
data silos to Knowledge Graph”

25. © 2019 GraphAware Ltd. All rights reserved.
https://www.shutterstock.com/image-photo/hand-holding-interface-social-media-concept-173103695?src=library
It is a brain for
your organization,
by becoming its
Digital Twin

26. © 2019 GraphAware Ltd. All rights reserved.
Data Information
Knowledge
Insight
Wisdom
Simulation

27. © 2019 GraphAware Ltd. All rights reserved.
INSIGHTS
DELIVERY
M
A
C
H
INELEARNING
ANALYSIS
API
ENRICH
DATA
Data
External
Knowledge
NATURALLANGUAGE
PR
O
CESSING
ENRICHMENT
Business
Systems
& Customer
Engagement
UX CX
INGESTION api

28. © 2019 GraphAware Ltd. All rights reserved.
• Knowledge Graph store
• Fast access to connected data
• Merging external data
• Existing data augmentation
• Scalability
The role of Neo4j

29. © 2019 GraphAware Ltd. All rights reserved.
Where is the knowledge?

30. © 2019 GraphAware Ltd. All rights reserved.
For more information please contact:
Alessandro Negro · 10/22/2019
info@graphaware.com
+1 844-344-7274
graphaware.com
Thank you