Technology: Back to the Future
Are you ready for the Future?
Prof. Dr. David Asirvatham
Ir Ts Dr. Siva Kumar
Contact: david.asirvatham@taylors.edu.my
sivakumar.sivanesan@taylors.edu.my
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2
1. How many years would you work?......2080/2100
2. How do you see the world 10 years from now?
2030 2040 2050
3
Malaysia Digital Economy Blueprint 2021
Success of a Nation – Digital Economy
LAND
+
LABOUR
CAPITAL
+
ENERGY
TECHNOLOGY
Data Science
+
Artificial Int.
+
Cybersecurity
+
Engineering
PRIMARY WEALTH CREATING ASSETS
1800 2020
Disruptive Technology
• Internet & Mobile:
– Taxi – Uber, OLA, Grab, etc
– Banks – PayTM, Alibaba, etc.
– Courier – many players
– Travel – Ticketing (Skyscanner) and
Hotel (Agoda)
– Shopping – Lazada, Alladdinstreet,
11thStreet, Amazon, etc.
• IoT, Big Data and Cloud......
5
6
The world of Artificial Intelligence (AI)
6
7
Jobs that may be “replaced”
by AI-based Machines
8
Store keeper
• Amazon Go Store in
Seattle
• No checkouts, no
queues
• In-Store sensors
9
Police Vehicles
New York: Law-enforcement agencies across the city have adopted aerial drones to
map crime scenes, monitor large events and aid search-and-rescue operations
10
Truck Drivers, Shipping Crews & Pilots
Major car manufacturers will roll-out
driverless cars by 2019/20.
No truck drivers or shipping crews?
Entire transport system will change
25-Mar-21 Dr. David Asirvatham 10
11
AI will create new
content
• Brands like USA Today, CBS and
Hearst are already using AI
technology to generate content.
• Wibbitz offers a software-as-a-
service (SaaS) platform that allows
publishers to turn written content
into video content through AI
video production.
Content Creation and Journalists
12
CHEFS
• Chef Watson, it’s able to generate entirely
new recipes from scratch using an
astonishing knowledge of taste chemistry
and flavor pairings.
• Customize to the taste of individuals
• robots like Miso Robotics’ burger-
preparing Flippy are capable of preparing
meals and serving them up at speeds that
human chefs struggle to achieve
• Add table delivery drones into the mix
and you don’t even need human waiters
to deliver the food to customers.
13
LAWYERS
• Can AI assist Lawyers?
• AI could be effectively deployed to determine every case in which a
particular witness testified, what his/her opinions were, and how juries
reacted, much faster and more thoroughly than any human investigator
ever could.
14
FINANCIAL ANALYSTS,
ACCOUNTANTS & BANKERS
• AI can spot patterns and make trades
faster than even the most eagle-eyed of
human analysts.
• With billions of dollars (or more) at stake,
it’s no wonder that machine learning tools
are all the rage, while some estimates
suggest that around 30 percent of banking
sector jobs will be lost to A.I. within the
next decade.
15
CONSTRUCTION WORKERS OR
OTHER MANUAL LABOUR JOBS
• bricklaying on construction
sites, working in warehouses, or picking
fruit and vegetables on a farm, there’s
no doubt that a large number of manual
labor jobs that once required humans
can now be carried out by robots.
• Ability to work nonstop without getting
tired.
16
AI will fight
challenging
diseases
• AI and peer-to-peer
network of computers
could have the capability of
solving some of the world's
most challenging health
problems by collecting and
analyzing human molecular
data.
• Machine-learning
technology seeks to identify
and analyze illnesses to
enable new drugs,
treatments and cures at a
fraction of the time and
cost.
Machines to help in Medical treatments
17
Digital Twin
18
IBM Watson
Watson was created as a question answering (QA) computing system
that IBM built to apply advanced natural language processing, information
retrieval, knowledge representation, automated reasoning, and machine learning
technologies to the field of open domain question answering
https://youtu.be/rXVoRyIGGhU
19
AI will aid knowledge
workers
• AI technology also has the
ability to aid employees,
especially those in
knowledge work.
• Tools like Gong, Chorus and
Jog are able to record calls
made by sales and
customer service
representatives. This
technology can coach
customer service workers to
speak more effectively.
• AI to increasingly support
white-collar workers.
Humans will need to work with Machines
20
Why the world will change?
21
IoT, Big Data and AI – the New
‘Superpowers’ In the Digital
Universe
Linda Misauer , 2017
22
Growth of Big Data
Source: www.hrboss.com
23
IOT, Big Data and AI
Source: I-ON Communication blog
24
Industry 4.0
Manufacturing Industry will change
New Digital Divide:
Human vs Machine
• Machines (AI and ML) will challenge
humans
• Machines will make decisions –
sometime better decision than
humans
• Don’t compete with Machines
Education and Technology become
key to address the New Digital Divide
Education:
Which Skills
to Learn?
Future Jobs
Source: https://www.fya.org.au
29
Top 20 Emerging Jobs by LinkedIn
Jobs in Computing and IT (Malaysia)
Growth in employment in digital industry is estimated to
be 15.0% over next 3 years
(Source: MDEC, Frost and Sullivan, Jan. 2018)
31
Tech Jobs
33
Demand for data
scientists
Demand for Data Scientists
Annual Salary for IT Professionals
Evolution of Salaries
Taylor’s School of Computing and Engineering
Faculty of Innovation and Technology
Taylor’s University
MALAYSIA
Programmes (Undergraduate)
Foundations in Computing
Diploma in Information Technology (DIT)
Bachelor of Information Technology (Hons)
 Specializations: Internet Technologies, Business Analytics, Game Design
Bachelor of Computer Science (Hons)
 Specializations: Artificial Intelligence, Data Science, Cybersecurity, and
Mobile Computing
Bachelor of Software Engineering (Hons)
Taylor’s Curriculum Framework (TCF) – Broad-based Education that
offers flexibility for Students
COMPUTER
SCIENCE
SPECIALISATION:
Data Science
Cybersecurity
Artificial Intelligence
Mobile Computing
MINOR/EXT:
Business
Finance
Design
INFORMATION
TECHNOLOGY
SPECIALISATION:
Business Intelligence
Internet Technologies
Game Design
MINOR/EXT:
Business
Finance
Design
SOFTWARE ENGINEERING
MINOR/EXT:
Business
Finance
Design
TRACK
1. Work-based
Learning
2.Technopreneurship
3. Conventional
TRACK
1. Work-based
Learning
2.Technopreneurship
3. Conventional
TRACK
1. Work-based
Learning
2.Technopreneurship
3. Conventional
Dual Award:
University of the West of England
(a) 3 + 0
(b) 2 + 1
Taylor’s Competitive Advantages
 Articulation option (2+1) - UK & Australian Universities
Highest recognition from Industry
 Highest employment rate (100%)
 Highest average salary for fresh graduates (> RM 3,500/month)
Programmes (Postgraduate)
 Master of Computer Science (by Research)
 Masters in Applied Computing
Artificial Intelligence
Data Science
 PhD in Computer Science (by Research)
44
Conclusion
1. Big Data and AI will change this world – it will change
the way we live, way we work, and the way we
interact.
2. Machines will challenge humans in many areas
3. Machines can make decisions
4. Digital Divide between Humans and Machines
5. Education becomes increasingly vital
6. Human will need to acquire the right future skills
7. Humans need to be aware of the future trends
8. Select the right Degree so that you can work till
2100.
45
QUIZ
https://kahoot.it/
PIN:
46
david.asirvatham@taylors.edu.my

Back to the future v15

  • 1.
    Technology: Back tothe Future Are you ready for the Future? Prof. Dr. David Asirvatham Ir Ts Dr. Siva Kumar Contact: david.asirvatham@taylors.edu.my sivakumar.sivanesan@taylors.edu.my
  • 2.
    You have reachedthe end of the presentation! Go to www.menti.com and use the code 8788 1501 https://www.mentimeter.com/s/bf945bae4ee8418ec6d1aaeacc6d3011/92cec785e6f3/edit
  • 3.
    2 1. How manyyears would you work?......2080/2100 2. How do you see the world 10 years from now? 2030 2040 2050
  • 4.
  • 5.
    Success of aNation – Digital Economy LAND + LABOUR CAPITAL + ENERGY TECHNOLOGY Data Science + Artificial Int. + Cybersecurity + Engineering PRIMARY WEALTH CREATING ASSETS 1800 2020
  • 6.
    Disruptive Technology • Internet& Mobile: – Taxi – Uber, OLA, Grab, etc – Banks – PayTM, Alibaba, etc. – Courier – many players – Travel – Ticketing (Skyscanner) and Hotel (Agoda) – Shopping – Lazada, Alladdinstreet, 11thStreet, Amazon, etc. • IoT, Big Data and Cloud...... 5
  • 7.
    6 The world ofArtificial Intelligence (AI) 6
  • 8.
    7 Jobs that maybe “replaced” by AI-based Machines
  • 9.
    8 Store keeper • AmazonGo Store in Seattle • No checkouts, no queues • In-Store sensors
  • 10.
    9 Police Vehicles New York:Law-enforcement agencies across the city have adopted aerial drones to map crime scenes, monitor large events and aid search-and-rescue operations
  • 11.
    10 Truck Drivers, ShippingCrews & Pilots Major car manufacturers will roll-out driverless cars by 2019/20. No truck drivers or shipping crews? Entire transport system will change 25-Mar-21 Dr. David Asirvatham 10
  • 12.
    11 AI will createnew content • Brands like USA Today, CBS and Hearst are already using AI technology to generate content. • Wibbitz offers a software-as-a- service (SaaS) platform that allows publishers to turn written content into video content through AI video production. Content Creation and Journalists
  • 13.
    12 CHEFS • Chef Watson,it’s able to generate entirely new recipes from scratch using an astonishing knowledge of taste chemistry and flavor pairings. • Customize to the taste of individuals • robots like Miso Robotics’ burger- preparing Flippy are capable of preparing meals and serving them up at speeds that human chefs struggle to achieve • Add table delivery drones into the mix and you don’t even need human waiters to deliver the food to customers.
  • 14.
    13 LAWYERS • Can AIassist Lawyers? • AI could be effectively deployed to determine every case in which a particular witness testified, what his/her opinions were, and how juries reacted, much faster and more thoroughly than any human investigator ever could.
  • 15.
    14 FINANCIAL ANALYSTS, ACCOUNTANTS &BANKERS • AI can spot patterns and make trades faster than even the most eagle-eyed of human analysts. • With billions of dollars (or more) at stake, it’s no wonder that machine learning tools are all the rage, while some estimates suggest that around 30 percent of banking sector jobs will be lost to A.I. within the next decade.
  • 16.
    15 CONSTRUCTION WORKERS OR OTHERMANUAL LABOUR JOBS • bricklaying on construction sites, working in warehouses, or picking fruit and vegetables on a farm, there’s no doubt that a large number of manual labor jobs that once required humans can now be carried out by robots. • Ability to work nonstop without getting tired.
  • 17.
    16 AI will fight challenging diseases •AI and peer-to-peer network of computers could have the capability of solving some of the world's most challenging health problems by collecting and analyzing human molecular data. • Machine-learning technology seeks to identify and analyze illnesses to enable new drugs, treatments and cures at a fraction of the time and cost. Machines to help in Medical treatments
  • 18.
  • 19.
    18 IBM Watson Watson wascreated as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering https://youtu.be/rXVoRyIGGhU
  • 20.
    19 AI will aidknowledge workers • AI technology also has the ability to aid employees, especially those in knowledge work. • Tools like Gong, Chorus and Jog are able to record calls made by sales and customer service representatives. This technology can coach customer service workers to speak more effectively. • AI to increasingly support white-collar workers. Humans will need to work with Machines
  • 21.
    20 Why the worldwill change?
  • 22.
    21 IoT, Big Dataand AI – the New ‘Superpowers’ In the Digital Universe Linda Misauer , 2017
  • 23.
    22 Growth of BigData Source: www.hrboss.com
  • 24.
    23 IOT, Big Dataand AI Source: I-ON Communication blog
  • 25.
  • 26.
    New Digital Divide: Humanvs Machine • Machines (AI and ML) will challenge humans • Machines will make decisions – sometime better decision than humans • Don’t compete with Machines
  • 27.
    Education and Technologybecome key to address the New Digital Divide
  • 28.
  • 29.
  • 30.
    29 Top 20 EmergingJobs by LinkedIn
  • 31.
    Jobs in Computingand IT (Malaysia) Growth in employment in digital industry is estimated to be 15.0% over next 3 years (Source: MDEC, Frost and Sullivan, Jan. 2018)
  • 32.
  • 34.
  • 35.
    Annual Salary forIT Professionals
  • 36.
  • 39.
    Taylor’s School ofComputing and Engineering Faculty of Innovation and Technology Taylor’s University MALAYSIA
  • 40.
    Programmes (Undergraduate) Foundations inComputing Diploma in Information Technology (DIT) Bachelor of Information Technology (Hons)  Specializations: Internet Technologies, Business Analytics, Game Design Bachelor of Computer Science (Hons)  Specializations: Artificial Intelligence, Data Science, Cybersecurity, and Mobile Computing Bachelor of Software Engineering (Hons)
  • 41.
    Taylor’s Curriculum Framework(TCF) – Broad-based Education that offers flexibility for Students COMPUTER SCIENCE SPECIALISATION: Data Science Cybersecurity Artificial Intelligence Mobile Computing MINOR/EXT: Business Finance Design INFORMATION TECHNOLOGY SPECIALISATION: Business Intelligence Internet Technologies Game Design MINOR/EXT: Business Finance Design SOFTWARE ENGINEERING MINOR/EXT: Business Finance Design TRACK 1. Work-based Learning 2.Technopreneurship 3. Conventional TRACK 1. Work-based Learning 2.Technopreneurship 3. Conventional TRACK 1. Work-based Learning 2.Technopreneurship 3. Conventional
  • 42.
    Dual Award: University ofthe West of England (a) 3 + 0 (b) 2 + 1
  • 43.
    Taylor’s Competitive Advantages Articulation option (2+1) - UK & Australian Universities Highest recognition from Industry  Highest employment rate (100%)  Highest average salary for fresh graduates (> RM 3,500/month)
  • 44.
    Programmes (Postgraduate)  Masterof Computer Science (by Research)  Masters in Applied Computing Artificial Intelligence Data Science  PhD in Computer Science (by Research)
  • 45.
    44 Conclusion 1. Big Dataand AI will change this world – it will change the way we live, way we work, and the way we interact. 2. Machines will challenge humans in many areas 3. Machines can make decisions 4. Digital Divide between Humans and Machines 5. Education becomes increasingly vital 6. Human will need to acquire the right future skills 7. Humans need to be aware of the future trends 8. Select the right Degree so that you can work till 2100.
  • 46.
  • 47.