USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
Back to the future v15
1. 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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3. 2
1. How many years would you work?......2080/2100
2. How do you see the world 10 years from now?
2030 2040 2050
5. Success of a Nation – 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
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, 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
12. 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
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 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.
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
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.
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
19. 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
20. 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
26. 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
31. 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)
39. Taylor’s School of Computing and Engineering
Faculty of Innovation and Technology
Taylor’s University
MALAYSIA
40. 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)
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
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)
Master of Computer Science (by Research)
Masters in Applied Computing
Artificial Intelligence
Data Science
PhD in Computer Science (by Research)
45. 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.