Geminos has created a low-code digital transformation platform that combines causal and knowledge modeling. It uses TypeDB as its internal repository. Initial projects are in supply chain and smart manufacturing, with a focus on sustainability.
Speakers: Stuart Frost (CEO), Owen Frost (Analyst)
Stu is the CEO and founder of Geminos. Their focus is on building AI-driven solutions for mid-sized Smart Manufacturing and Logistics companies, that are frustrated by their inability to digitalize their operations at sensible cost.
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
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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
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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
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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
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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
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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
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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?
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11. Digital Transformation with Causeway
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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
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.
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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
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