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What is AI?
Perceives environment and takes decisions to optimum achiev its goals.
Traditional Goals
Learning, reasoning, planning, natural
language, perception, the ability to move objects.
Has its roots in 1956
Mimics Human Cognition
Can learn and can solve problems.
Source: Wiki.
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Machine Learning
Ties with mathematical optimization and statistics
Arthur Samuelson β 1959 while at IBM
Pattern recognition and computational learning theory.
Build Algorithms
Can learn from and make predictions based on data.
Data Mining & Predictive Analysis.
Find Patterns
High ability to outline patterns based on data crunch.
Source: Wiki.
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Playing Strategic games
Go
AlphaGo defeated Lee Sedol (18 times
World Champion) with 4-1.
AI had made one unusual move that no
human Go player would have made.
AlphaGo has its own original moves.
AlphaGo (Google Deep Mind) vs. Lee Sedol, 2016
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Chat Bot that mimic Human Speech
Alan Turing Challenge
Eugene Goostman won the Turing
Challenge, fooling more than half of the
human jurors that is not a bot.
Source: Time Magazine, June 2014
Eugene Goostman vs. Alan Touring, 2014
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Understanding Human Speech and Images
Microsoft recently got its
AI's error rate in
understanding speech
about 5.9%,
slightly below the human
error rate.
AI image and speech recognition, 2016
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Battling for Mental Health
Analyse speech and written words
Looks at meaning, syntax and intonation.
Predicted with 100 percent accuracy, who would develop
their first episode of Psychosis within two years.
Used 1 minute of speech from Parkinsonβs patients to
track, predict and monitor the disease with 80% accuracy.
(Source: Lafrance & IBM, The Atlantic, 2015)
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Detecting Skin Cancer
Stanford University
Used a dataset of 129,450 clinical images consisting of
2,032 different diseases.
AI classified skin cancer with a level of competence
comparable to dermatologists.
Published: 25 January 2017, Nature Magazine
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Sapiens Triune Brain*
AI exploits quickly the human vulnerabilities
Reptilian Brain (500 M years):
Fear, Fight, Flight
Involved in aggression, dominance, territoriality and
ritual displays. Controls vital functions.
Rigid, Compulsive, Unconscious.
* Source: Paul D MacLean: The Triune Brain in Evolution
Mammalian/ Limbic System (150 M years):
Motivation and Emotions.
Records memories, place of Values judgements.
Is Automated.
Neocortex/ the new brain (3 M years):
Learning, rational and conscious decisions.
High Energy Consumption.
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Hook Model
Habit Forming Products and Services
*Nir Eyal - Hooked
Trigger
Internal Need or Tension.
Action.
Initial Engagement
Variable Reward.
Creates Surprise & Dynamism.
Investment.
Need to put in additional effort to fuel back the
trigger: work, money, emotions, time spent.
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Ethical Questions
Source: World Economic Forum, 2016
1. Unemployment: What happens after jobs will end?
Based on McKinsey, 78% of predictable physical work and 25% of
unpredictable work can be replaced.
2. Inequality. How do we distribute the wealth created by
machines?
Same revenues were generated by the three biggest companies in
Silicon valley vs. Detroit but with 10 times fewer employees.
3. Humanity. How do machines influence behavior?
An average American uses Facebook more than 40 minutes a day.
Chatbots or Customer Care. Apps, web services and games are
designed to be addictive.
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Ethical Questions
Source: World Economic Forum, 2016
4. Artificial Stupidity: How can we guard?
Systems can be fooled. Who will be responsible when a robot will
make an accident? See recent Uber drive accidents.
5. Biased Robots
When software used to predict future criminals, showed bias
against black people. AIs are created and trained by humans who
are biased and judgemental. Correlation does not men causation.
6. Singularity. How do we stay in control?
AI works like a Black Box. Nobody understands how it learned, or
how it takes decisions. We see just the outcomes.
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Customer interactions/ conversational interfaces
CRM & Voice Ordering chat bots, that respond personalized, without waiting
time.
E.g. ING - Maria
* Inspired by: Deloitte Nederland and Chief Marketer
Commercial Opportunities
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Personalised Advertising based on Behavioural Data
Crunch Big Data to understand needs and cluster people in homogenous need-
based segments.
Target the segments with the right message and products.
Increases efficiency and the response rates.
E.g. Facebook, Google, Amazon, political marketing.
* Inspired by: Deloitte Nederland and Chief Marketer
Commercial Opportunities
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* Inspired by: Deloitte Nederland and Chief Marketer
Commercial Opportunities
Omnichanel Individualized Content
Streamline e-commerce processes to empower individualized content can
easily get to consumers, anytime, anywhere in a synchronous manner.
Dynamic Pricing.
E.g. Amazon
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Disease diagnosis and illness treatment
Cost reduction of the ever increasing cost of healthcare. However the
opportunity to improve the effectiveness of healthcare by AI driven
diagnostics.
E.g. IBM Watson
* Inspired by: Deloitte Nederland and Chief Marketer
Commercial Opportunities
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Hook Model - Habit Forming Products and Services
*Nir Eyal - Hooked
Trigger
Internal Need or Tension.
Action.
Initial Engagement
Variable Reward.
Creates Surprise & Dynamism.
Investment.
Need to put in additional effort to fuel back the
trigger: work, money, emotions, time spent.