Daniel Hulme · Daniel Hulme Director of Applied Artificial Intelligence MSc PhD in Artificial...
Transcript of Daniel Hulme · Daniel Hulme Director of Applied Artificial Intelligence MSc PhD in Artificial...
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Daniel Hulme
Director of Applied Artificial Intelligence MSc
PhD in Artificial Intelligence
Senior Lecturer in AI and Innovation
Postdoc in Innovation and Technology Transfer
MBA Electives London Business School
MSci in Artificial Intelligence
Founder & CEO of Satalia
Advisor to UAE AI Strategy
Co-founder of the ASI Data Science
Advisor to NOIA Network and others
Kauffman Global Scholar
Startup mentor and speaker
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Artificial Intelligence
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Data Driven Decision Making
WISDOM
UNDERSTANDING
KNOWLEDGE
INFORMATION
DATA
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JOHN READ THE LETTER TO MARY
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Data Driven Decision Making
WISDOM
UNDERSTANDING
KNOWLEDGE
INFORMATION
DATA = symbols
= contextualized DATA
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Data Driven Decision Making
WISDOM
UNDERSTANDING
KNOWLEDGE
INFORMATION
DATA = symbols
= contextualized DATA
= organised INFORMATION
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Data Driven Decision Making
WISDOM
UNDERSTANDING
KNOWLEDGE
INFORMATION
DATA = symbols
= contextualized DATA
= organised INFORMATION
= interpreted KNOWLEDGE
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Data Driven Decision Making
WISDOM
UNDERSTANDING
KNOWLEDGE
INFORMATION
DATA = symbols
= contextualized DATA
= organised INFORMATION
= interpreted KNOWLEDGE
= utilised UNDERSTANDING
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Decision Making
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Resource Allocation
RULES
Flying right of walking
Swimming left of walking
Reptiles 2-away from felines
No same colours touching
Tails prefer next to tails
Males prefer near females
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Resource Allocation
120
RULES
Flying right of walking
Swimming left of walking
Reptiles 2-away from felines
No same colours touching
Tails prefer next to tails
Males prefer near females
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Resource Allocation
RULES
Flying right of walking
Swimming left of walking
Reptiles 2-away from felines
No same colours touching
Tails prefer next to tails
Males prefer near females
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Resource Allocation
1,307,674,368,000
RULES
Flying right of walking
Swimming left of walking
Reptiles 2-away from felines
No same colours touching
Tails prefer next to tails
Males prefer near females
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500! ≈ 1e+1134
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500! ≈ 1e+11341220136825991110068701238785423046926253574342803192842192413588385845373153881997605496447502203281863013616477148203584163378722078177200480785205159329285477907571939330603772960859086270429174547882424912726344305670173270769461062802310452644218878789465754777149863494367781037644274033827365397471386477878495438489595537537990423241061271326984327745715546309977202781014561081188373709531016356324432987029563896628911658974769572087926928871281780070265174507768410719624390394322536422605234945850129918571501248706961568141625359056693423813008856249246891564126775654481886506593847951775360894005745238940335798476363944905313062323749066445048824665075946735862074637925184200459369692981022263971952597190945217823331756934581508552332820762820023402626907898342451712006207714640979456116127629145951237229913340169552363850942885592018727433795173014586357570828355780158735432768888680120399882384702151467605445407663535984174430480128938313896881639487469658817504506926365338175055478128640000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
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500! ≈ 1e+11341220136825991110068701238785423046926253574342803192842192413588385845373153881997605496447502203281863013616477148203584163378722078177200480785205159329285477907571939330603772960859086270429174547882424912726344305670173270769461062802310452644218878789465754777149863494367781037644274033827365397471386477878495438489595537537990423241061271326984327745715546309977202781014561081188373709531016356324432987029563896628911658974769572087926928871281780070265174507768410719624390394322536422605234945850129918571501248706961568141625359056693423813008856249246891564126775654481886506593847951775360894005745238940335798476363944905313062323749066445048824665075946735862074637925184200459369692981022263971952597190945217823331756934581508552332820762820023402626907898342451712006207714640979456116127629145951237229913340169552363850942885592018727433795173014586357570828355780158735432768888680120399882384702151467605445407663535984174430480128938313896881639487469658817504506926365338175055478128640000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
atoms ≈ 1e+80
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Transportation Problems
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Transportation Problems
# ROUTES1,000,000 PER
SECOND
10 3,628,800 4 seconds
11 39,916,800 1 minute
13 6,227,020,800 2 hours
14 87,178,291,200 1 day
16 20,922,789,888,000 1 year
20 2,432,902,008,176,640,000 77,000 years
22 1,124,000,727,777,610,000,000 36 millennia
24 620,448,401,733,239,000,000,000 20B years
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Data Driven Decision Making
WISDOM
UNDERSTANDING
KNOWLEDGE
INFORMATION
DATA
ACTION
INSIGHT
DATA
Prescriptive analytics
● Optimisation
● Decision-science
Predictive analytics
● Data-science
● Machine learning
Descriptive analytics
● Contextualisation
● Data visualisation
Data Engineering
● Infrastructure
● Data assimilation
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Artificial Intelligence
ACTION
INSIGHT
DATA
ADAPT
Intelligence: Goal-directed
Adaptive BehaviourSternberg & Salter
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Symbolic AI
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Sub-symbolic AI
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Artificial Intelligences
Artificial Intelligence
bounds of human ability
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Artificial Intelligence
ArtificialGeneral
Intelligence
bounds of human ability
Artificial Intelligences
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Artificial Intelligence
ArtificialGeneral
Intelligence
Super Intelligence
bounds of human ability
Artificial Intelligences
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Simulation Theory
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Ethical Decision Making
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Ethical AI, Explainable Algorithms and GDPR
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Innovation
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Hidden dynamics in hierarchy
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Innovation, Motivation and Purpose
“Creativity that ships” Steve Jobs
“Motivation is the Energy for Action” Edward Deci
“Autonomy, Mastery, Purpose”Dan Pink, Drive
“Time is the new money”Richard Branson
The rise of the purposeful company
DATA SCIENCE
CLOUD COMPUTING
OPEN (BIG) DATA
ARTIFICIAL INTELLIGENCE
TALENT
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Talent Strategy
Industry Sexiness
Ch
alle
ng
ing
Pro
ble
ms
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Talent Strategy
No Talent
Industry Sexiness
Ch
alle
ng
ing
Pro
ble
ms
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Talent Strategy
Sticky Talent
No Talent
Industry Sexiness
Ch
alle
ng
ing
Pro
ble
ms
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Talent Strategy
Talent Churn Sticky Talent
No Talent Talent Churn
Industry Sexiness
Ch
alle
ng
ing
Pro
ble
ms
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Talent Strategy
Talent Churn Sticky Talent
No Talent Talent Churn
Industry Sexiness
Ch
alle
ng
ing
Pro
ble
ms
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Fat
Thin
Lean (Distributed)
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Swarm diagrams provide
transparent data on
activity across network
tools.
Interactive network
diagrams show
relationships and the flow
of information from and to
the worker.
Swarm diagrams show the
significance of points and
the weight of opinion
compared to the
suggestions received by
others within the
organisation.
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Strictly Confidential
People Networks
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The End of the World
45
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Social Scoring
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Capturing Attention
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The Two Singularities and 2048
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Purpose
Enable everyone to
do what they love