A Green Agenda cannot be fully realised by polishing our established industries and processes, or indeed minimalistic changes to manufacturing, production, and supply. We have to be far more holistic and radical! New materials and processes will get us part way there, but we also need the greater data oversight, analysis and management, provided by a fully deployed Internet of Things (IoT). In turn, this will require the application of Artificial Intelligence, Computer Modelling and War Gaming to provide the necessary guidance and decision support for machines and people.
Energy and material waste are definitely key components, but so are hyper-efficient Re-Use, Re-Purposing, and Re-Cycling with maximal material recovery at very low loss. And so, access to and analysis of, the Big and Small Data collected by networks and the IoT components is vital. For obvious reasons of unrealisable energy demands and network node densities, mobile networks and network technologies (such as 5G) cannot support such a vision and we can expect to see a migration to new network regimes where our machines, appliances, devices, vehicles, sea going containers, pallets, boxes, products and components communicate directly over very short distances in preference to using 3/4/5G and WiFi networks.
Many IoT components include sensors and access to information about their hosts; and this is vital to performance monitoring, timely maintenance and repair. Real time location, production, supply, use and ownership information will change the way we design, manufacture, supply and meet the needs of society at all levels from health, welfare, employment, education, industry, commerce, defence, and government. Many elements exist today, and more are under development, and in this presentation we bring together these core components.
Presentation for Retired Veterinarians' Society, Melbourne - 5 October, 2016. Assembles slides from ILRI, CGIAR and Falvey's book 'Beliefs that Bias Food & Agriculture'. Main point is that multiple objectives confuses real food security for food-deficit nations; this includes unthought beliefs in sustainability. Three simple points are concluded: 1) sustained research is essential (this is what sustainability can only mean in practical terms); 2) food (grain) reserves are an essential component of real food security despite their cost and contrary to free trade rhetoric; 3) national food security plans are essential for food-deficit nations, not for major food exporters and such plans should be above other measures if the stability required for governance is to be maintained.
The aspirational visions of Society 5.0 coined by many nations around 2015/16 have now been eclipsed by technological progress and world events including another European war, global warming, climate change and resource shortages. In this new context, the published 5.0 documents now seem naive and simplistic, high on aspiration, and very short on ‘the how’. The stark reality is that the present situation has been induced by our species and our inability to understand and cope with complexity.
“There are no simple solutions to complex problems”
What is now clear is that our route to survival and Society 5.0 will be born of Industry 4.0/5.0 and a symbiosis between Mother Nature, Machines, and Mankind. Today we consume and destroy near 50% more resources than the planet might reasonably support, and merely improving the efficiency of all our processes and what we do will only delay the end point. And so I4.0 is founded on new materials and new processes that are far less damaging, inherently sustainable, and most importantly, readily dispensable across the planet.
“Reversing global warming will not see a climatic reversal to some previously stable state”
In this presentation, we start with the nature of climate change, move on to the technology changes that might save the day, the impact of Industry 4.0/5.0, and then postulate what Society 5.0 might actually look like.
Industries 1.0, 2.0 (and most of) 3.0, saw manufacturing and construction using natural materials readily extracted, refined, amalgamated, machined, and molded. In general, these exhibited fixed mechanical, electrical, and chemical properties. However, the latter stages of Industry 3.0 embraced synthetics exhibiting superior properties to afford new degrees of freedom in the design of structures and products.
Today Industry 4.0 sees further advances with metamaterials, dynamic coatings, controllable properties, and additive manufacturing. Embedded smarts have also made communication between components, products and structures possible under the guise of the IoT. Adaptable materials with a degree of self-repair are also opening the door to further freedoms and less material use. In combination, these represent a big step toward sustainable societies with highly efficient ReUse, RePurposing, and Recycling (3R).
At the leading edge, we are now realising active surfaces that can reflect, absorb, or amplify wireless signals, offer programmable colour, and integral energy storage. But amongst a growing list of possibilities, it is integral sensing & communication that may define this new era. In this presentation, we look at these advances in the context of smart design, cities & societies.
What are the moving forces behind the disruption in the agriculture industry? How to bring innovation into the sector? What are startups farmers better watch out or partner with? what role plays data in all this?
Watch Tommaso Di Bartolo, serial-entrepreneur, investor author and UC Berkeley instructor, in his keynote expanding upon this topic. More on www.TommasoDiBartolo.com
A Green Agenda cannot be fully realised by polishing our established industries and processes, or indeed minimalistic changes to manufacturing, production, and supply. We have to be far more holistic and radical! New materials and processes will get us part way there, but we also need the greater data oversight, analysis and management, provided by a fully deployed Internet of Things (IoT). In turn, this will require the application of Artificial Intelligence, Computer Modelling and War Gaming to provide the necessary guidance and decision support for machines and people.
Energy and material waste are definitely key components, but so are hyper-efficient Re-Use, Re-Purposing, and Re-Cycling with maximal material recovery at very low loss. And so, access to and analysis of, the Big and Small Data collected by networks and the IoT components is vital. For obvious reasons of unrealisable energy demands and network node densities, mobile networks and network technologies (such as 5G) cannot support such a vision and we can expect to see a migration to new network regimes where our machines, appliances, devices, vehicles, sea going containers, pallets, boxes, products and components communicate directly over very short distances in preference to using 3/4/5G and WiFi networks.
Many IoT components include sensors and access to information about their hosts; and this is vital to performance monitoring, timely maintenance and repair. Real time location, production, supply, use and ownership information will change the way we design, manufacture, supply and meet the needs of society at all levels from health, welfare, employment, education, industry, commerce, defence, and government. Many elements exist today, and more are under development, and in this presentation we bring together these core components.
Presentation for Retired Veterinarians' Society, Melbourne - 5 October, 2016. Assembles slides from ILRI, CGIAR and Falvey's book 'Beliefs that Bias Food & Agriculture'. Main point is that multiple objectives confuses real food security for food-deficit nations; this includes unthought beliefs in sustainability. Three simple points are concluded: 1) sustained research is essential (this is what sustainability can only mean in practical terms); 2) food (grain) reserves are an essential component of real food security despite their cost and contrary to free trade rhetoric; 3) national food security plans are essential for food-deficit nations, not for major food exporters and such plans should be above other measures if the stability required for governance is to be maintained.
The aspirational visions of Society 5.0 coined by many nations around 2015/16 have now been eclipsed by technological progress and world events including another European war, global warming, climate change and resource shortages. In this new context, the published 5.0 documents now seem naive and simplistic, high on aspiration, and very short on ‘the how’. The stark reality is that the present situation has been induced by our species and our inability to understand and cope with complexity.
“There are no simple solutions to complex problems”
What is now clear is that our route to survival and Society 5.0 will be born of Industry 4.0/5.0 and a symbiosis between Mother Nature, Machines, and Mankind. Today we consume and destroy near 50% more resources than the planet might reasonably support, and merely improving the efficiency of all our processes and what we do will only delay the end point. And so I4.0 is founded on new materials and new processes that are far less damaging, inherently sustainable, and most importantly, readily dispensable across the planet.
“Reversing global warming will not see a climatic reversal to some previously stable state”
In this presentation, we start with the nature of climate change, move on to the technology changes that might save the day, the impact of Industry 4.0/5.0, and then postulate what Society 5.0 might actually look like.
Industries 1.0, 2.0 (and most of) 3.0, saw manufacturing and construction using natural materials readily extracted, refined, amalgamated, machined, and molded. In general, these exhibited fixed mechanical, electrical, and chemical properties. However, the latter stages of Industry 3.0 embraced synthetics exhibiting superior properties to afford new degrees of freedom in the design of structures and products.
Today Industry 4.0 sees further advances with metamaterials, dynamic coatings, controllable properties, and additive manufacturing. Embedded smarts have also made communication between components, products and structures possible under the guise of the IoT. Adaptable materials with a degree of self-repair are also opening the door to further freedoms and less material use. In combination, these represent a big step toward sustainable societies with highly efficient ReUse, RePurposing, and Recycling (3R).
At the leading edge, we are now realising active surfaces that can reflect, absorb, or amplify wireless signals, offer programmable colour, and integral energy storage. But amongst a growing list of possibilities, it is integral sensing & communication that may define this new era. In this presentation, we look at these advances in the context of smart design, cities & societies.
What are the moving forces behind the disruption in the agriculture industry? How to bring innovation into the sector? What are startups farmers better watch out or partner with? what role plays data in all this?
Watch Tommaso Di Bartolo, serial-entrepreneur, investor author and UC Berkeley instructor, in his keynote expanding upon this topic. More on www.TommasoDiBartolo.com
This webinar covers the highlights of the World Economic Forum meeting in Davos, including responsible AI, the future of food, integrated retail and the blockchain.
Predicting digital futures a sector at a time is relatively easy, but in a networked world driven by accelerating technologies this is insufficient. Sectors do not operate in isolation, they are connected, and as technology advances the boundaries morph, with whole industries overtaken and pushed aside. At the same time old jobs lose relevance and new skills are required, but in aggregate ever more people are employed. Today there is no country, no matter how big or rich, that has all the raw materials and people required to power its industries, healthcare systems, farming and food production, or indeed educational institutions. Insourcing, outsourcing, and globalisation are the result, and they are about to be augmented by global networking of facilities, skills and abilities
We have never known or understood so much about our world, and nor have we enjoyed the capabilities bestowed by modern technology. But keeping up to date, acquiring the right knowledge and skills is a growing challenge as ‘the world of the simple’ evaporates and complexity takes over.
“There are plenty of simple solutions to complex problems, but they are all wrong”
Preparing for change whilst coping with the status quo now presents many new challenges way beyond human ability and we have to partner with machines to aid our decisions. For organisations it is essential to find and employ the right people, and for people it is necessary to become ever more flexible and adaptable whilst continually acquiring pertinent capabilities.
“AI and robots are not going to push us aside, but they will change everything”
No man is an island, and neither is any country, company or institution. A digital and connected global interdependency now governs the fortunes of our species as technology empowers us at every level. In this presentation we highlight a small sample of the technologies on the horizon, the jobs they will destroy, enhance and create.
Presentation in the CGIAR Science Week in Montpellier 2016 on how Big Data cna change agricultural research and development, and what the CGIAR needs to do.
Conference 6 of 8 of the Introduction to Integral Permaculture series by NodoEspiral of the Permaculture Academy.
See www.PermaCultureScience.com for other conferences and audio to this one.
Last year, we presented the top, must-know, culturally relevant trends for 2015 and our predictions were 83% accurate!
To help the “curious class” stay relevant in 2016, we’ve assembled an A-Z glossary of what trends we predict to be 100 must-know terms and concepts of 2016.
We hope this cultural crib sheet will help prepare you for the year ahead!
Data mining and analysis has been dominated by the big looking at the small. Businesses, institutions and governments examine our habits with an eye to commercial opportunities, welfare, and security. However, big data is migrating analysis into the arena of networking and association to enhance services: advertising, ‘pre-selling,’ healthcare, security and tax avoidance reduction. But this leaves the critical arena of Small Data unaddressed - the small looking at the small - individuals and things examining and exploiting their own data.
Here we consider a future of ubiquitous tagging, sensors, measuring and networked monitoring powered by the IoT. Key conclusions see many devices talking to each other at close range with little (or no) need of internet connection, and more network connections generated between things than those on the net.
An overview about Artificial intelligence and its patterns, different tools, framework,industry examples, demo. The deviation from conventional approach.
Telecom customer services appear to be stuck in the early 20th Century with the telephone call the primary channel for service provision that can take days to affect. Compare that to Google, Amazon, IBM, Apple and other modern companies where customers control service provision by the minute or second.
Modem business is driven by the accumulation of customer data, but the Telecom Industry sees vast amounts of customer-related data dormant and untapped. As a result, many new opportunities are lost. For example, the behavior of people, devices, systems, and networks give the earliest indicators of potential security problems.
OTT operators exploit networks and make far greater profits than any other sector and this might be further amplified by the roll-out of 5G. But without a fundamental rethink of FTTP, 5G will fail to deliver sufficient coverage and the advertised data rates. This pending failure is already seeing alternative solutions from outside the industry along with the realization that most ‘things’ on the IoT will never connect to the internet!
This webinar covers the highlights of the World Economic Forum meeting in Davos, including responsible AI, the future of food, integrated retail and the blockchain.
Predicting digital futures a sector at a time is relatively easy, but in a networked world driven by accelerating technologies this is insufficient. Sectors do not operate in isolation, they are connected, and as technology advances the boundaries morph, with whole industries overtaken and pushed aside. At the same time old jobs lose relevance and new skills are required, but in aggregate ever more people are employed. Today there is no country, no matter how big or rich, that has all the raw materials and people required to power its industries, healthcare systems, farming and food production, or indeed educational institutions. Insourcing, outsourcing, and globalisation are the result, and they are about to be augmented by global networking of facilities, skills and abilities
We have never known or understood so much about our world, and nor have we enjoyed the capabilities bestowed by modern technology. But keeping up to date, acquiring the right knowledge and skills is a growing challenge as ‘the world of the simple’ evaporates and complexity takes over.
“There are plenty of simple solutions to complex problems, but they are all wrong”
Preparing for change whilst coping with the status quo now presents many new challenges way beyond human ability and we have to partner with machines to aid our decisions. For organisations it is essential to find and employ the right people, and for people it is necessary to become ever more flexible and adaptable whilst continually acquiring pertinent capabilities.
“AI and robots are not going to push us aside, but they will change everything”
No man is an island, and neither is any country, company or institution. A digital and connected global interdependency now governs the fortunes of our species as technology empowers us at every level. In this presentation we highlight a small sample of the technologies on the horizon, the jobs they will destroy, enhance and create.
Presentation in the CGIAR Science Week in Montpellier 2016 on how Big Data cna change agricultural research and development, and what the CGIAR needs to do.
Conference 6 of 8 of the Introduction to Integral Permaculture series by NodoEspiral of the Permaculture Academy.
See www.PermaCultureScience.com for other conferences and audio to this one.
Last year, we presented the top, must-know, culturally relevant trends for 2015 and our predictions were 83% accurate!
To help the “curious class” stay relevant in 2016, we’ve assembled an A-Z glossary of what trends we predict to be 100 must-know terms and concepts of 2016.
We hope this cultural crib sheet will help prepare you for the year ahead!
Data mining and analysis has been dominated by the big looking at the small. Businesses, institutions and governments examine our habits with an eye to commercial opportunities, welfare, and security. However, big data is migrating analysis into the arena of networking and association to enhance services: advertising, ‘pre-selling,’ healthcare, security and tax avoidance reduction. But this leaves the critical arena of Small Data unaddressed - the small looking at the small - individuals and things examining and exploiting their own data.
Here we consider a future of ubiquitous tagging, sensors, measuring and networked monitoring powered by the IoT. Key conclusions see many devices talking to each other at close range with little (or no) need of internet connection, and more network connections generated between things than those on the net.
An overview about Artificial intelligence and its patterns, different tools, framework,industry examples, demo. The deviation from conventional approach.
Telecom customer services appear to be stuck in the early 20th Century with the telephone call the primary channel for service provision that can take days to affect. Compare that to Google, Amazon, IBM, Apple and other modern companies where customers control service provision by the minute or second.
Modem business is driven by the accumulation of customer data, but the Telecom Industry sees vast amounts of customer-related data dormant and untapped. As a result, many new opportunities are lost. For example, the behavior of people, devices, systems, and networks give the earliest indicators of potential security problems.
OTT operators exploit networks and make far greater profits than any other sector and this might be further amplified by the roll-out of 5G. But without a fundamental rethink of FTTP, 5G will fail to deliver sufficient coverage and the advertised data rates. This pending failure is already seeing alternative solutions from outside the industry along with the realization that most ‘things’ on the IoT will never connect to the internet!
Similar to Humans and machines being human in the age of ai (20)
How well do you know your spouse? AI technology is moving fast, we can help employers to understand their talent pipeline and recruit top candidates. Here's a look at how.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...SkillCertProExams
• For a full set of 760+ questions. Go to
https://skillcertpro.com/product/databricks-certified-data-engineer-associate-exam-questions/
• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
• It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
• SkillCertPro updates exam questions every 2 weeks.
• You will get life time access and life time free updates
• SkillCertPro assures 100% pass guarantee in first attempt.
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