4. 4P a g e
SOLVING INTELLIGENCE IS ___
______
____ _________ _________ _____
________
_____!
5. 5P a g e
SOLVING INTELLIGENCE IS THE
SINGLE
MOST IMOPRTANT CHALLENGE
FACING HUMANITY
TODAY!
6. 6P a g e
PRODUCTION DOUBLED EVERY SEVERAL THOUSAND YEARS
Time to double GDP
Valueofoutput
Pleistocene Era
220,000 years
Paleolithic
Era
7. 7P a g e
Paleolithic
Era
Time to double GDP
Valueofoutput
Agricultural
Revolution
Agricultural Revolution
909 years
PRODUCTION DOUBLED EVERY HUNDRED YEARS
8. 8P a g e
Paleolithic
Era
Time to double GDP
Valueofoutput
Agricultural
Revolution
INDUSTRIAL
REVOLUTION
Industrial Revolution
7 years
PRODUCTION DOUBLED EVERY HUMAN LIFETIME
9. 9P a g e
Paleolithic
Era
Time to double GDP
Valueofoutput
Agricultural
Revolution
INDUSTRIAL
REVOLUTION
Intelligence
Revolution
PRODUCTION DOUBLES EVERY WEEK!
10. 10P a g e
HOW FAR HAVE WE COME?
AI is born in 1956
based on the belief
that learning
can be described
mathematically
Neural network
theory develops.
Researchers begin
trying to emulate
the working of a
brain
Personal
Computers and
Smartphone
adoption explodes
giving researchers
data
Deep mind creates
AlphaGo and the
media recognizes
machines for
demonstrating
original ideas
1956 1961 1990 2016
11. 11P a g e
Google, IBM, Alibaba, Amazon, Apple are all big
players in the AI race
FOR PROFIT BUSINESSES
Millennials are solving intelligence and saving the
planet
THE YOUTH!
Universities are increasingly producing statisticians
and computer engineers focused on ML
UNIVERSITIES
The machine learning community is diverse and
open to everyone.
PASSIONATE COMPUTER GEEKS
Millennials
PHDs
Governments
Companies
WHO IS WORKING ON IT?
12. 12P a g e
WHAT IS INTELLIGENCE?
Probability of an action
being successful
DECISION MAKING
Understanding where
you went wrong and
adapting
CAPACITY TO LEARN
Memory
Perception
Attention
Reasoning
COGNITIVE PROCESS
Understanding an
abstract environment
and making sense of it to
achieve a goal
PROBLEM SOLVING
13. 13P a g e
The creation of non organic, sentient objects.
AT A PHILOSPHICAL LEVEL
Machines which work and react like humans. Machines that can
see, hear, speak, move and take actions.
AT A COMPUTER SCIENCE LEVEL
An opportunity to advance beyond our physical
limitations as homo sapiens.
AT A PRACTICAL LEVEL
WHAT IS ARTFICIAL INTELLIGENCE?
14. 14P a g e
Our interpersonal skills and relationships are already changing. Your social media feed is
governed by AI
PERSONAL
Our ability to manipulate our biology is enhanced through AI
BIOLOGICAL
The skills we require at work are changing
PROFESSIONAL
EVERYTHING IS CHANGING
More time ‘is available for thinking, strategy, problem solving and change
HUMANITY
15. 15P a g e
Producing food,
forecasting demand
and auditing distribution
through India to
impoverished families.
AI FOR
GOOD
2bn Meals
Anti money laundering AI
is 60% more effective at
identifying financial
crime than traditional
methods.
ANTI MONEY
LAUNDERING
60%
10% of global food
production produced
through vertical farming,
reducing transportation
and wastage.
VERTICAL
FARMING
180m Tonnes
Predicting and modelling
epidemic outbreaks
allows us to contain
disease spread like
Ebola.
EPIDEMIC
OUTBREAK
11,315 Deaths
FOR THE GREATER GOOD!
16. 16P a g e
VERTICAL FARMS
Indoor farms which are not subject to change in
weather and have controlled conditions.
YEAR ROUND CROP PRODUCTION
More efficient than traditional farms, less fossil fuel
consumption, better use of water and nutrients.
CLEANER FOR THE PLANET
Can be located in or next to large cities.
SUSTAINABLE FOR URBAN CENTRES
Y O U R H E A D L I N E
YOUR LOGO
17. 17P a g e
PREDICTING
POVERTY
Over 1bn people are living in poverty across
the world (less than $2 per day)!
Stanford University are using satellite imagery to
quantify poverty all over the world and create an
index for tracking wealth at the village level.
This method will helps aid organizations to distribute
funds more efficiently, to those most in need.
18. 18P a g e
ENERGY
DISTRIBUTION
IOT allows Gridhound to measure actual electricity
usage and predict when to send energy to each
unique household.
This proactive distribution management solution
dramatically reduces energy consumption per
capita.
19. 19P a g e
PEOPLE
TRACFFICKING
Inferring personality based on a facial image and
body language only to profile people and flag high
risk individuals at border crossings in real time.
More efficient focusing of security personnel.
20. 20P a g e
ARTIFICIAL INTELLIGENCE
SOFTWARE
Software is the thinking that occurs inside the brain.
We use tools like python to code software
Calculating the probability that an event is or is not
true and a confidence interval for that prediction.
CODE WRITTEN TO DO MATHS
Cleaner code allows us to process data faster and
consequently improve results
RAPID DATA PROCESSING
21. 21P a g e
ARTIFICIAL INTELLIGENCE
HARDWARE
Hardware is a mix of sensors, circuit boards, scanners
quantum computers, and motors to eventually
create…something
Computer hardware increases processing power by
double every 18 months (moore’s law) except when it
doesn’t
COMPUTER HARDWARE
The most advanced bipedal robot in the world to
date is Atlas, created by Boston Dynamics
ROBOTICS
22. 22P a g e
What can the judicial system do to
keep pace with the changes which
we are living through?
04
LAW
When cars are fully autonomous
who owns them?
03
OWNERSHIP
SELF DRIVING
CARS
Increased usage of sensors and
cameras puts your privacy at risk
02
PRIVACY
Who is responsible for the safety of
the passengers
01
SAFETY
23. 23P a g e
THE END OF
INDIVIDUAL OWNERSHIP
Will the self driving car signal the beginning of the end for the era of individual ownership?
24. 24P a g e
What sacrifices are we willing to make in order to bring this new
era to life?
PRIVACY &
PERSONAL
DATA
25. 25P a g e
The man versus machine narrative which is popularized by the media and Hollywood is wild. In fact we’re already living in a
world augmented by AI
26. 26P a g e
HUMAN ONLY MACHINE ONLY
HUMANS
COMPLIMENT
MACHINES
MACHINES GIVE
HUMANS SUPER
POWERS
The missing middle
27. 27P a g e
Directly manage customers on
basic requests while flagging
more complicated issues to
people
Customer Engagement
Predicting optimal bidding
patterns for review by a person to
authorize
Bidding
Augment our capacity for energy
saving by identifying and
redirecting energy consumption
Energy Savings
Understand more about
personality without being trained
in psychology to make better
human capital decisions
Psychometrics
Protect your assets with
biometrics and behaviours
specific to you
Security
Using machines to forecast
demand and people to
implement strategy
Demand Planning
IDEAS IN THE MIDDLE
28. 28P a g e
LACK OF PROCESSING
POWER AND THE
ABSENCE OF
CONNECTED DEVICES
MEANT HUMANS
HAD TO PERFORM
MENIAL JOBS
2.
SO WHAT DOES BEING
HUMAN MEAN WHEN
MACHINES CAN THINK
FASTER THAN
HUMANS WITH BETTER
RECALL AND MORE
KNOWLEDGE?
4.
OVER THE LAST
30 YEARS WE HAVE
BEEN TRAINING
HUMANS TO BE MORE
ROBOTIC
1.
SOME TASKS ARE
INHERENTLY HUMAN
BUT WE LOST SIGHT
OF THAT BECAUSE WE
WERE SO
ETHUSIASTIC TO
ADOPT TECHNOLOGY
3.
BECOMING MORE HUMAN
29. 29P a g e
Our ability to develop strategies that give us a
competitive advantage
STRATEGY
Our ability to worry about the present and future
mixed with concern for fellow human beings
WORRY
Our ability to relate to one another and have
compassion.
EMPATHY
Our ability to think abstractly and creatively
CREATIVITY
BECOMING MORE HUMAN
EMPATHY
STRATEGY
CREATIVITY
WORRY
30. 30P a g e
C O M P A S S I O N N E E D E D
C R E A T I V I T Y O R S T R A T E G YO P T I M I S A T I O N
C O M P A S S I O N N O T N E E D E D
w e d d i n g p l a n n e r
e l d e r l y c a r e t a k e r
b e a u t y c o n s u l t a n t
r e m o t e t u t o r
t o u r g u i d e
h o m e s c h o o l t e a c h e r
t e a c h e r
c r i s i s h o t l i n e v o l u n t e e r
e l d e r l y c o m p a n i o n c o n c i e r g e
s o c i a l w o r k e r
c u s t o m e r s u p p o r t
t e l e - s a l e s
d i s h w a s h e r t r u c k d r i v e r
h e m a t o l o g i s t
s e c u r i t y g u a r d
r a d i o l o g i s t
r e s e a r c h a n a l y s t
e c o n o m i s t
c o l u m n i s t
s c i e n t i s t
a r t i s t
P R / m a r k e t i n g d i r e c t o r
M & A e x p e r t
C E O
WHERE COULD WE GO?
31. 31P a g e
print(“THANK YOU”)
harvey@searchie.me