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“AI That Knows Why”
A Causal Approach to Digital Transformation
Introduction
Geminos brings the power of causality to
digital transformation
Huge $336bn market, growing fast
Causality bridges a key gap between business
and technology
• ”Next big thing in AI”
• Geminos makes it a practical reality
Low-code platform, based on established,
enterprise-class open source
• TypeDB
• Node-RED
Subscription + consumption business model
2
World Class Exec Team
• Serial entrepreneur, CTO/Founder
• Multiple successful startups
• Extensive IIoT experience
• PingThings
• Deep understanding of sensors,
protocols, open source, big data and
AI solutions
• Serial entrepreneur, CEO/Founder
• 7 successful startups
• Modeling, big data, AI
• Over $300m VC raised
• SELECT – IPO - 200X
• DATAllegro – MSFT acquisition – 36X
• MSFT Global GM Data Warehousing
Stuart Frost
CEO
Jerry Schuman
CTO
3
Who is Judea Pearl?
Why should we
listen to him?
UCLA Professor Cognitive Systems
Invented Bayesian Networks
2011 Turing Award for his development of a
calculus for probabilistic and causal reasoning
4
Causality
wins 2021
Nobel Prize
in Economics
Rapidly growing academic research
Recent Harvard course had 60,000
attendees
Seen as the next step towards AGI
Starting to be used by major tech
companies for their own data science
Geminos brings it to life!
Causality IS the
next big thing in AI
6
7
?
The Gap Between Tech and Business
TECHNOLOGY
Digitization
Big data
AI
ML
Data science
Algorithms
Blockchain
BUSINESS
Customer experience
Brand
Revenue
Profit
RoI
Events
Process
Decisions
Outcomes
8
Causality Bridges the Gap
C A U S A L I T Y
TECHNOLOGY
Digitization
Big data
AI
ML
Data science
Algorithms
Blockchain
BUSINESS
Customer experience
Brand
Revenue
Profit
RoI
Events
Process
Decisions
Outcomes
9
Causality Bridges the Gap
C A U S A L I T Y
2. IMPLEMENT TECHNOLOGY
Decide project scope and phases
ETL data to meet needs of causal
model
Write code & algorithms to augment
or automate effect nodes in causal
model
Embed causal model in solution as
microservices
Use Pearl’s Causal Calculus to:
• Analyze & improve causal models
• Simulate behavior & interventions
• Monitor & improve actual behavior
of digitalized business
1. MODEL THE BUSINESS
Things
Relationships
Events
Causes & Effects
Timing
Interventions
Outcomes
What can I predict?
If I make a change,
what is likely to happen?
What data do I need?
What decisions/actions do I need to
augment or automate?
10
Digital Transformation with Causeway
11
CAUSAL MODEL
HIERARCHY
LOWEST LEVEL
IMPLEMENTED WITH STANDARD
NODE-RED NODES
‘DECISION BOARD’
UI IN E.G. POWERBI
ML/DL USED TO
IMPLEMENT
FUNCTIONS AS
NECESSARY
Low-Code
Enterprise Scale
Any Cloud or In-House
TypeDB Repository
stores models
Optional TypeDB
knowledge layer 12
Detailed Implementation
Nodes
Causal Models
(Dynamic
Knowledge)
Causal Calculus
P(y|do(x))
Knowledge Layer
Geminos Causeway
Model Repository
Knowledge Models
(Static Knowledge)
Palm Oil Supply Chain
Use Case
Palm Oil is in many foods, cosmetics and household products
• Largest vegetable oil crop
• 4-10X more efficient than alternatives
Major CPGs such as Unilever, P&G, Pepsi, etc. are committed to
reducing very high-profile problems such as deforestation, peat
burning and forced labor
• They need help understanding the root causes/effects and
how they can intervene to make a difference
• Major driver of supply chain digital transformation
• Great fit for a causality-driven approach
Viral marketing opportunity across supply chains and to other
commodities – Coffee, Tea, Sugar, etc.
13
13
Palm Oil Headlines Cause
Massive Brand Damage
14
Summary
Geminos brings the power of causality to
digital transformation
Huge $336bn market, growing fast
Causality bridges a key gap between business
and technology
• ”Next big thing in AI”
• Geminos makes it a practical reality
Low-code platform, based on established,
enterprise-class open source
• TypeDB
• Node-RED
Subscription + consumption business model
15

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Combining Causal and Knowledge Modeling for Digital Transformation

  • 1. “AI That Knows Why” A Causal Approach to Digital Transformation
  • 2. Introduction Geminos brings the power of causality to digital transformation Huge $336bn market, growing fast Causality bridges a key gap between business and technology • ”Next big thing in AI” • Geminos makes it a practical reality Low-code platform, based on established, enterprise-class open source • TypeDB • Node-RED Subscription + consumption business model 2
  • 3. World Class Exec Team • Serial entrepreneur, CTO/Founder • Multiple successful startups • Extensive IIoT experience • PingThings • Deep understanding of sensors, protocols, open source, big data and AI solutions • Serial entrepreneur, CEO/Founder • 7 successful startups • Modeling, big data, AI • Over $300m VC raised • SELECT – IPO - 200X • DATAllegro – MSFT acquisition – 36X • MSFT Global GM Data Warehousing Stuart Frost CEO Jerry Schuman CTO 3
  • 4. Who is Judea Pearl? Why should we listen to him? UCLA Professor Cognitive Systems Invented Bayesian Networks 2011 Turing Award for his development of a calculus for probabilistic and causal reasoning 4
  • 6. Rapidly growing academic research Recent Harvard course had 60,000 attendees Seen as the next step towards AGI Starting to be used by major tech companies for their own data science Geminos brings it to life! Causality IS the next big thing in AI 6
  • 7. 7 ?
  • 8. The Gap Between Tech and Business TECHNOLOGY Digitization Big data AI ML Data science Algorithms Blockchain BUSINESS Customer experience Brand Revenue Profit RoI Events Process Decisions Outcomes 8
  • 9. Causality Bridges the Gap C A U S A L I T Y TECHNOLOGY Digitization Big data AI ML Data science Algorithms Blockchain BUSINESS Customer experience Brand Revenue Profit RoI Events Process Decisions Outcomes 9
  • 10. Causality Bridges the Gap C A U S A L I T Y 2. IMPLEMENT TECHNOLOGY Decide project scope and phases ETL data to meet needs of causal model Write code & algorithms to augment or automate effect nodes in causal model Embed causal model in solution as microservices Use Pearl’s Causal Calculus to: • Analyze & improve causal models • Simulate behavior & interventions • Monitor & improve actual behavior of digitalized business 1. MODEL THE BUSINESS Things Relationships Events Causes & Effects Timing Interventions Outcomes What can I predict? If I make a change, what is likely to happen? What data do I need? What decisions/actions do I need to augment or automate? 10
  • 11. Digital Transformation with Causeway 11 CAUSAL MODEL HIERARCHY LOWEST LEVEL IMPLEMENTED WITH STANDARD NODE-RED NODES ‘DECISION BOARD’ UI IN E.G. POWERBI ML/DL USED TO IMPLEMENT FUNCTIONS AS NECESSARY
  • 12. Low-Code Enterprise Scale Any Cloud or In-House TypeDB Repository stores models Optional TypeDB knowledge layer 12 Detailed Implementation Nodes Causal Models (Dynamic Knowledge) Causal Calculus P(y|do(x)) Knowledge Layer Geminos Causeway Model Repository Knowledge Models (Static Knowledge)
  • 13. Palm Oil Supply Chain Use Case Palm Oil is in many foods, cosmetics and household products • Largest vegetable oil crop • 4-10X more efficient than alternatives Major CPGs such as Unilever, P&G, Pepsi, etc. are committed to reducing very high-profile problems such as deforestation, peat burning and forced labor • They need help understanding the root causes/effects and how they can intervene to make a difference • Major driver of supply chain digital transformation • Great fit for a causality-driven approach Viral marketing opportunity across supply chains and to other commodities – Coffee, Tea, Sugar, etc. 13 13
  • 14. Palm Oil Headlines Cause Massive Brand Damage 14
  • 15. Summary Geminos brings the power of causality to digital transformation Huge $336bn market, growing fast Causality bridges a key gap between business and technology • ”Next big thing in AI” • Geminos makes it a practical reality Low-code platform, based on established, enterprise-class open source • TypeDB • Node-RED Subscription + consumption business model 15