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© 2019 GraphAware Ltd. All rights reserved.
Leverage Unstructured Data to
Create Knowledge Graphs: The
Real Key to Unlocking Your
Corporate Knowledge
Will Evans | 09/18/2019

will@graphaware.com
+1-704-641-3513
www.graphaware.com
© 2019 GraphAware Ltd. All rights reserved.
Our Credentials
Knowledge Graphs (a summary)
Unstructured Data
What value does unifying unstructured and structure data bring?
How do you get there?
Happy Hour
Contents
03
#
08
10
12
17
4p
© 2019 GraphAware Ltd. All rights reserved.
Our Credentials
© 2019 GraphAware Ltd. All rights reserved.
• One of the largest Worldwide Graph Consultancies by $revenue, #graphFTE, #licenses
• Global best talent available for onsite, remote support, or onsite training.

~50 engineers + Data Science FTEs
• A world leader in Network Science using graph data visualization and graph data
implementations / development.
• Our technology is used in National Security, Intelligence, Marketing, Recommendation
Engines, Customer Insights, Knowledge Engines, Relevant Search, Cognitive Computing.
• State-of-the-art IP and open-source around Natural Language Processing and Machine
Learning combined with graphs that nobody else has achieved
• The team members are frequent conference speakers, and actively publish books and
technical articles, to provide the community with thought leadership in this space
• Built the product for NLP on Neo4j, called
Experience
© 2019 GraphAware Ltd. All rights reserved.
London
Boston HQ
Abu Dhabi
Melbourne
Canberra
Prague
Lecce
Paris
Chicago
Charlotte
GenevaSan Francisco
Presence
© 2019 GraphAware Ltd. All rights reserved.
Graphs are the underpinning technology of 

all modern machine learning and AI applications. 

The results of machine learning are brought 

back into your central graph database – 

the brain for your organization.”
Alessandro Negro
Chief Scientist, GraphAware
“
Published
https://www.manning.com/books/graph-powered-machine-learning
© 2019 GraphAware Ltd. All rights reserved.
The Hume platform is an NLP-focused, Graph-Powered Insights Engine.
It creates a digital twin of your business in the form of a Collaborative
Knowledge Graph which surfaces critical but previously buried and
undetected relevance in your organization.
This newly accessible relevance can be surfaced and used in a variety
of ways including unusually accurate and even predictive search,
dynamic conversation and chat, proactive alerting on potentially high-
impact unknowns, accurate connectedness recommendations, as well
as advanced analytics and context aware visual exploration.
Product
© 2019 GraphAware Ltd. All rights reserved.
Knowledge Graphs (a summary)
© 2019 GraphAware Ltd. All rights reserved.
• “a ‘graph’—that understands real-world entities and their relationships to one another: things,
not strings” -Google
• It’s semantic (graphs usually are)
• It’s specific to your domain/organization
• It’s constantly updating and changing as your organization evolves
• It (most likely) contains primarily structured data right now
What is a knowledge graph?
© 2019 GraphAware Ltd. All rights reserved.
Unstructured Data
© 2019 GraphAware Ltd. All rights reserved.
• 80% of all corporate data is unstructured
• Often text
• Often has some inherent structure, but the structure is not explicitly defined

Grammar structure, syntax, context, entity references
• Often where the value lies
What is unstructured data?
© 2019 GraphAware Ltd. All rights reserved.
What value does unifying structured and
unstructured data bring?
Companies need to make informed decisions, but knowledge is still mostly locked away.
The problem
Aggregated
Data
Decision-making
Insights
api
UX CX
Chaos Wisdom
© 2019 GraphAware Ltd. All rights reserved.
Why does Hume exist?
Chaos WisdomUX CX
In an increasingly complex and hyperconnected world, organizations need a level of insight, collaboration
and optimization not possible before. But for most, their knowledge is locked away and siloed.
It surfaces new insights
and knowledge to
empower business
opportunities
Hume turns structured
and unstructured data
into knowledge
It creates a Knowledge
Graph, a model of your
world, as a connected
source of truth
© 2019 GraphAware Ltd. All rights reserved.
‘Superstar’ effects: Disproportionately large
gains for top performers and correspondingly
heavy losses for those falling behind
“Digitization has widened the gap between
early adopters and others within sectors and
among companies… laggards may find it harder
to catch up… and many organizations still lack
the foundational practices to create value from
AI at scale.”
McKinsey Global Institute
January 2019, World Economic Forum, Davos
© 2019 GraphAware Ltd. All rights reserved.
Real-time
Recommendations
Supply
Chain
Enterprise
Search
Processes
New
Business
Human Capital
Management
Strategy
Customer
360°
Hume delivers new
insights
Your entire enterprise of
data is stored in a single
collaborative knowledge
graph, made discoverable
and searchable.
A connected graph
overcomes data silos
without requiring
transformation or
normalization of data.
Meaning is discovered
within unstructured data,
through Natural
Language Processing,
and insights not possible
before are unlocked.
© 2019 GraphAware Ltd. All rights reserved.
Possible Use Cases
Conceptual/ Predictive Search
Dynamic Chat
& Conversation
Contextual Graph Exploration
Top Unknown Opportunities
Custom dashboards
© 2019 GraphAware Ltd. All rights reserved.
How do you get there?
© 2019 GraphAware Ltd. All rights reserved.
• Define the structured data that you want to use in your knowledge graph
• Using your business and domain specific knowledge, guide the GraphML and AI algorithms
to recognize name entities, domain specific language, relationships, and more
• Set up ingestions to constantly bring in and update your knowledge graph the most recent
structured and unstructured data
• Get value from insight
Overview
© 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
How Hume works
© 2019 GraphAware Ltd. All rights reserved.
M
A
C
H
INELEARNING
NATURALLANGUAGE
PR
O
CESSING
ENRICHMENT
M
A
C
H
INELEARNING
NATURALLANGUAGE
PR
O
CESSING
ENRICHMENT
M
A
C
H
INELEARNING
NATURALLANGUAGE
PR
O
CESSING
ENRICHMENT
Each learning cycle … enhances … your Knowledge Graph
How Hume works
© 2019 GraphAware Ltd. All rights reserved.
Thank you
For more information please contact:
Will Evans | 09/18/2019

will@graphaware.com
+1-704-641-3513
www.graphaware.com
PUBLIC - To be circulated
© 2019 GraphAware Ltd. All rights reserved.
TECHNOLOGYINFRASTRUCTURE
KNOWLEDGE
INSIGHTSLAYER
PROCESS
REQUESTS
DATA
TRANSFER
INDEXING SEARCHING
1
2 3
S
EARCH CLUSTE
R
ANALYSIS
API
Goals
Objectives
Strategy
Supply Chain
Customer
Experiences
Processes
Product
Marketing
APPLICATIONLAYER
1
2 3
PR
O
CESSING CLUS
TER
CMS
CRM
ERP
HCM
Analytics
Data Lake
Master Data
Management
ETL
Hosted SaaS
Cloud/ or
on Premises
Payment
Gateway
GRAPH CLUSTER
1
2 3
DATA
INFORMATION
TECHNOLOGYINFRASTRUCTURELAYER
BUSINESSSTRATEGYLAYER
G O V E R N A N C E & S E C U R I T Y
ENRICH
DATA
api
Enterprise Architecture
© 2019 GraphAware Ltd. All rights reserved.
Performing at scale
Application Domain
•Chat dialoges
•Political Sentiment
•Election Result Prediction
Sample Dataset Average Text
Length
Processing Time
in seconds/doc
Total processing
Time for 1M docs
•Twitter Sentiment Analysis 300 0.005s - 1.5 hours
(Number of characters
•Customer Service
•E-Commerce
•Recommendation
•IMDB Reviews 1258 0.0219s - 6 hours
•Media Monitoring
•Advertising
•Enterprise Search
•Kaggle All-The-News 3462 0.0428s - 12 hours
•Research Analysis
•Internal Knowledge
Management
•ArXiv Papers 6920 0.0847s - 23.5 hours
SMALLMEDIUMLARGE
24 vCPUs - 16 thread dedicated - 3k iops SSD
Pipeline: Tokenize, NER, Dependency Mode: Workflow Parallel (GraphAware Enterprise only)
© 2019 GraphAware Ltd. All rights reserved.
We’re redefining a technology category with you
Data Information
Knowledge
Insight
Wisdom
Simulation
Tipping
Point
You gain an exponential progression of value. Each new
solution that you build on top of Hume is a leap of acceleration
for your organization – towards ever greater action, impact,
and competitive advantage.
Every business is now in the business of knowledge and
insight. And customers, logistics and operations are “Graph
Problems” – predicting, optimizing, recommending and making
decisions within a network or mesh of connected activities,
experiences, events and choices.
Yesterday’s solutions Today’s solutions Near future solutions

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Leverage Unstructured Data to Create Knowledge Graphs: The Real Key to Unlocking Your Corporate Knowledge

  • 1. © 2019 GraphAware Ltd. All rights reserved. Leverage Unstructured Data to Create Knowledge Graphs: The Real Key to Unlocking Your Corporate Knowledge Will Evans | 09/18/2019
 will@graphaware.com +1-704-641-3513 www.graphaware.com
  • 2. © 2019 GraphAware Ltd. All rights reserved. Our Credentials Knowledge Graphs (a summary) Unstructured Data What value does unifying unstructured and structure data bring? How do you get there? Happy Hour Contents 03 # 08 10 12 17 4p
  • 3. © 2019 GraphAware Ltd. All rights reserved. Our Credentials
  • 4. © 2019 GraphAware Ltd. All rights reserved. • One of the largest Worldwide Graph Consultancies by $revenue, #graphFTE, #licenses • Global best talent available for onsite, remote support, or onsite training.
 ~50 engineers + Data Science FTEs • A world leader in Network Science using graph data visualization and graph data implementations / development. • Our technology is used in National Security, Intelligence, Marketing, Recommendation Engines, Customer Insights, Knowledge Engines, Relevant Search, Cognitive Computing. • State-of-the-art IP and open-source around Natural Language Processing and Machine Learning combined with graphs that nobody else has achieved • The team members are frequent conference speakers, and actively publish books and technical articles, to provide the community with thought leadership in this space • Built the product for NLP on Neo4j, called Experience
  • 5. © 2019 GraphAware Ltd. All rights reserved. London Boston HQ Abu Dhabi Melbourne Canberra Prague Lecce Paris Chicago Charlotte GenevaSan Francisco Presence
  • 6. © 2019 GraphAware Ltd. All rights reserved. Graphs are the underpinning technology of 
 all modern machine learning and AI applications. 
 The results of machine learning are brought 
 back into your central graph database – 
 the brain for your organization.” Alessandro Negro Chief Scientist, GraphAware “ Published https://www.manning.com/books/graph-powered-machine-learning
  • 7. © 2019 GraphAware Ltd. All rights reserved. The Hume platform is an NLP-focused, Graph-Powered Insights Engine. It creates a digital twin of your business in the form of a Collaborative Knowledge Graph which surfaces critical but previously buried and undetected relevance in your organization. This newly accessible relevance can be surfaced and used in a variety of ways including unusually accurate and even predictive search, dynamic conversation and chat, proactive alerting on potentially high- impact unknowns, accurate connectedness recommendations, as well as advanced analytics and context aware visual exploration. Product
  • 8. © 2019 GraphAware Ltd. All rights reserved. Knowledge Graphs (a summary)
  • 9. © 2019 GraphAware Ltd. All rights reserved. • “a ‘graph’—that understands real-world entities and their relationships to one another: things, not strings” -Google • It’s semantic (graphs usually are) • It’s specific to your domain/organization • It’s constantly updating and changing as your organization evolves • It (most likely) contains primarily structured data right now What is a knowledge graph?
  • 10. © 2019 GraphAware Ltd. All rights reserved. Unstructured Data
  • 11. © 2019 GraphAware Ltd. All rights reserved. • 80% of all corporate data is unstructured • Often text • Often has some inherent structure, but the structure is not explicitly defined
 Grammar structure, syntax, context, entity references • Often where the value lies What is unstructured data?
  • 12. © 2019 GraphAware Ltd. All rights reserved. What value does unifying structured and unstructured data bring?
  • 13. Companies need to make informed decisions, but knowledge is still mostly locked away. The problem Aggregated Data Decision-making Insights api UX CX Chaos Wisdom
  • 14. © 2019 GraphAware Ltd. All rights reserved. Why does Hume exist? Chaos WisdomUX CX In an increasingly complex and hyperconnected world, organizations need a level of insight, collaboration and optimization not possible before. But for most, their knowledge is locked away and siloed. It surfaces new insights and knowledge to empower business opportunities Hume turns structured and unstructured data into knowledge It creates a Knowledge Graph, a model of your world, as a connected source of truth
  • 15. © 2019 GraphAware Ltd. All rights reserved. ‘Superstar’ effects: Disproportionately large gains for top performers and correspondingly heavy losses for those falling behind “Digitization has widened the gap between early adopters and others within sectors and among companies… laggards may find it harder to catch up… and many organizations still lack the foundational practices to create value from AI at scale.” McKinsey Global Institute January 2019, World Economic Forum, Davos
  • 16. © 2019 GraphAware Ltd. All rights reserved. Real-time Recommendations Supply Chain Enterprise Search Processes New Business Human Capital Management Strategy Customer 360° Hume delivers new insights Your entire enterprise of data is stored in a single collaborative knowledge graph, made discoverable and searchable. A connected graph overcomes data silos without requiring transformation or normalization of data. Meaning is discovered within unstructured data, through Natural Language Processing, and insights not possible before are unlocked.
  • 17. © 2019 GraphAware Ltd. All rights reserved. Possible Use Cases Conceptual/ Predictive Search Dynamic Chat & Conversation Contextual Graph Exploration Top Unknown Opportunities Custom dashboards
  • 18. © 2019 GraphAware Ltd. All rights reserved. How do you get there?
  • 19. © 2019 GraphAware Ltd. All rights reserved. • Define the structured data that you want to use in your knowledge graph • Using your business and domain specific knowledge, guide the GraphML and AI algorithms to recognize name entities, domain specific language, relationships, and more • Set up ingestions to constantly bring in and update your knowledge graph the most recent structured and unstructured data • Get value from insight Overview
  • 20. © 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 How Hume works
  • 21. © 2019 GraphAware Ltd. All rights reserved. M A C H INELEARNING NATURALLANGUAGE PR O CESSING ENRICHMENT M A C H INELEARNING NATURALLANGUAGE PR O CESSING ENRICHMENT M A C H INELEARNING NATURALLANGUAGE PR O CESSING ENRICHMENT Each learning cycle … enhances … your Knowledge Graph How Hume works
  • 22. © 2019 GraphAware Ltd. All rights reserved. Thank you For more information please contact: Will Evans | 09/18/2019
 will@graphaware.com +1-704-641-3513 www.graphaware.com PUBLIC - To be circulated
  • 23. © 2019 GraphAware Ltd. All rights reserved. TECHNOLOGYINFRASTRUCTURE KNOWLEDGE INSIGHTSLAYER PROCESS REQUESTS DATA TRANSFER INDEXING SEARCHING 1 2 3 S EARCH CLUSTE R ANALYSIS API Goals Objectives Strategy Supply Chain Customer Experiences Processes Product Marketing APPLICATIONLAYER 1 2 3 PR O CESSING CLUS TER CMS CRM ERP HCM Analytics Data Lake Master Data Management ETL Hosted SaaS Cloud/ or on Premises Payment Gateway GRAPH CLUSTER 1 2 3 DATA INFORMATION TECHNOLOGYINFRASTRUCTURELAYER BUSINESSSTRATEGYLAYER G O V E R N A N C E & S E C U R I T Y ENRICH DATA api Enterprise Architecture
  • 24. © 2019 GraphAware Ltd. All rights reserved. Performing at scale Application Domain •Chat dialoges •Political Sentiment •Election Result Prediction Sample Dataset Average Text Length Processing Time in seconds/doc Total processing Time for 1M docs •Twitter Sentiment Analysis 300 0.005s - 1.5 hours (Number of characters •Customer Service •E-Commerce •Recommendation •IMDB Reviews 1258 0.0219s - 6 hours •Media Monitoring •Advertising •Enterprise Search •Kaggle All-The-News 3462 0.0428s - 12 hours •Research Analysis •Internal Knowledge Management •ArXiv Papers 6920 0.0847s - 23.5 hours SMALLMEDIUMLARGE 24 vCPUs - 16 thread dedicated - 3k iops SSD Pipeline: Tokenize, NER, Dependency Mode: Workflow Parallel (GraphAware Enterprise only)
  • 25. © 2019 GraphAware Ltd. All rights reserved. We’re redefining a technology category with you Data Information Knowledge Insight Wisdom Simulation Tipping Point You gain an exponential progression of value. Each new solution that you build on top of Hume is a leap of acceleration for your organization – towards ever greater action, impact, and competitive advantage. Every business is now in the business of knowledge and insight. And customers, logistics and operations are “Graph Problems” – predicting, optimizing, recommending and making decisions within a network or mesh of connected activities, experiences, events and choices. Yesterday’s solutions Today’s solutions Near future solutions