EduSpiral Consultant Services - Best Universities in Malaysia

EduSpiral Consultant Services is a university placement centre. Established in 2009, to provide information and counseling to Malaysian students after SPM, STPM, UEC, O-Levels, A-Levels and Pre-U to top private colleges & universities in Malaysia & Singapore that are high quality and affordable. We have helped hundreds of students to choose the right course & the best university to study. For more information, contact 01111408838

Saturday, April 4, 2020

All You Need to Know About Studying Artificial Intelligence (Ai) & Career in Malaysia

All You Need to Know About What is Artificial Intelligence (Ai), Job Demand, Salary, Degree Courses, Top Universities & Why Study this Course

Written by EduSpiral Consultant Services. For more information contact 01111408838

In order to meet the high demand of delivering faster, relevant and holistic services to today’s customers, it is estimated that about 70 percent of organisations will integrate Artificial Intelligence (AI) to assist employee productivity by 2021. However, only 26 percent of companies in Malaysia have actually begun integrating AI into their operations, according to a survey that was conducted in 2018. The low adoption rate is attributed to two key barriers that are related to organisational culture on AI and limited employee skill sets.
Therefore, the demand for qualified and trained professionals in Artificial Intelligence (AI) is high in Malaysia. With the emergence of new possibilities and opportunities through the power of emerging technologies, students must take advantage and choose courses that will be relevant in their future jobs.

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All You Need to Know About Artificial Intelligence (Ai) in Malaysia

Rise of Artificial Intelligence (Ai)

With the evolution of technology, the current job landscape in Malaysia has changed drastically. In many industries and countries, the current in-demand occupations or specialties did not exist 10 or even five years ago. The rise of technology has led to a disruption in the way we work and live. The Digital Era has changed the way we work.
Malaysia government’s focus was also in line with its efforts to meet the challenges of the Industrial Revolution 4.0 (IR 4.0) that requires highly skilled human capital. More new job opportunities would emerge as the digital revolution unfolded, and cited the World Economic Forum’s estimate that 65% of the workforce will work in the yet to be created job sector because it requires digital skills.
There will be a substantial rise in specialised processors, such as GPUs and chips, that implement Artificial Intelligence or AI architectures which determine how a network processes and routes information and maintains security, privacy, and integrity.
Quantum computing and engineering will continue to be in an aggressive hype phase in 2020, but the ability to control, measure, and error-correct quantum systems as the number of qubits grows will be important from the start.
Leading technology giants Facebook, Google, Amazon are all excited about Artificial Intelligence. Google CEO Sundar Pichai emphasized in 2017 just how important AI is to the future of the company, stating, “I’m really happy with how we are transitioning to an AI-first company.
The Google Assistant is one of our first steps towards that future…Advances in machine learning are helping us make many Google products better… Beyond that, we continue to set the pace in machine learning and AI research.” — Alphabet 1Q17 Earnings Call
In addition, Amazon CEO Jeff Bezos shared at the Code Conference in California “It’s hard to overstate how big of an impact AI is going to have on society over the next 20 years.”

Example of How AI is Applied in Future Jobs

In a competitive business environment, customer satisfaction and retention is key. Businesses must find ways to communicate and deliver to their customers seamlessly and immediately. The new generation of customers are technologically savvy and demand immediate attention to their needs.
In this landscape, the use of Ai will help businesses to listen to the needs of the customer, understand their needs and resolve any problems. Ai will deepen customer engagement through machine learning and automation.
Conversational Service Automation is about enabling front office automation in contact centres.
Consider this scenario: A customer starts a conversation with a chatbot for quick self-service. The bot is able to provide some quick and valuable updates based on the customer’s previous interactions. If the conversation gets more complex, the voice bot politely hands the call to a human agent via a live transfer. The agent is assisted through real-time analytics and chat transcripts to be able to make the next best offer which the customer gladly accepts.
This automation backed by real-time analytics is continuously self-learning, enabling real-time listening of conversations across channels and then converting them into actionable insights.
As a result, a win-win situation is created where businesses can reduce work pressure on call centre agents, improve accuracy of information and greater customer satisfaction.

What is Artificial Intelligence?

We are surrounded by Artificial Intelligence (AI) and we often use it without realizing. Every time you ask Siri or Bixby to do a task, use a Tiktok filter, have junk mail filtered from your inbox, or get a traffic update on Waze, AI is at work.
Basically, Artificial intelligence is the use of a program, or algorithm, to perform a task which requires humans to use our intelligence. Just as we use our brains to learn from new information gathered by our senses, AI learns from information fed to it—either many examples of an image, say, or the rules of a game—and processed according to how it is programmed. When AI is programmed to follow an algorithm, it is called machine learning. AI can handle massive amounts of data that our brains simply cannot cope with.
In 1956, John McCarthy defined the term Artificial Intelligence (Ai) as: ‘The science and engineering of making intelligent machines.’
In addition, Artificial Intelligence can be understood as the development of computer systems that can perform tasks requiring human intelligence. Human intelligence such as decision making, detecting objects, solving complex problems and so on. Basically, Ai is when a machine performs an “intelligent” task.

Artificial Intelligence (AI) means getting a computer to mimic human behavior in some way.
Machine learning is a subset of AI, and it consists of the techniques that enable computers to figure things out from the data and deliver AI applications.
Deep learning, meanwhile, is a subset of machine learning that enables computers to solve more complex problems.

What are the Types Of Learning In Artificial Intelligence?

Artificial Narrow Intelligence
Artificial General Intelligence
Artificial Super Intelligence

These are the three stages through which AI can evolve, rather than the 3 types of Artificial Intelligence.

Artificial Narrow Intelligence (ANI)
- Also known as Weak AI, ANI is the stage of Artificial Intelligence involving machines that can perform only a narrowly defined set of specific tasks. At this stage, the machine does not possess any thinking ability, it just performs a set of pre-defined functions.
- Examples of Weak AI include Siri, Alexa, Self-driving cars, Alpha-Go, Sophia the humanoid and so on. Almost all the AI-based systems built till this date fall under the category of Weak AI.
Artificial General Intelligence (AGI)
- Also known as Strong AI, AGI is the stage in the evolution of Artificial Intelligence wherein machines will possess the ability to think and make decisions just like us humans.
- There are currently no existing examples of Strong AI, however, it is believed that we will soon be able to create machines that are as smart as humans.
Artificial Super Intelligence (ASI)
- Artificial Super Intelligence is the stage of Artificial Intelligence when the capability of computers will surpass human beings. ASI is currently a hypothetical situation as depicted in movies and science fiction books, where machines have taken over the world.

Further Definitions of the Types of Artificial Intelligence (AI)

When explaining the different types of Artificial Intelligence systems, we can categorize them based on their functionalities. Based on the functionality of AI-based systems, these are the following types:

Reactive Machines AI
Limited Memory AI
Theory Of Mind AI
Self-aware AI

Reactive Machine AI
This type of AI includes machines that operate solely based on the present data, taking into account only the current situation. Reactive AI machines cannot form inferences from the data to evaluate their future actions. They can perform a narrowed range of pre-defined tasks.
An example of Reactive AI is the famous IBM Chess program that beat the world champion, Garry Kasparov.
Limited Memory AI
Like the name suggests Limited Memory AI, can make informed and improved decisions by studying the past data from its memory. Such an AI has a short-lived or a temporary memory that can be used to store past experiences and hence evaluate future actions.
Self-driving cars are Limited Memory AI, that uses the data collected in the recent past to make immediate decisions. For example, self-driving cars use sensors to identify civilians crossing the road, steep roads, traffic signals and so on to make better driving decisions. This helps to prevent any future accidents.
Theory Of Mind AI
The Theory Of Mind AI is a more advanced type of Artificial Intelligence. This category of machines is speculated to play a major role in psychology. This type of AI will focus mainly on emotional intelligence so that human believes and thoughts can be better comprehended.
The Theory of Mind AI has not yet been fully developed but rigorous research is happening in this area.
Self-Aware AI
Let’s just pray that we don’t reach the state of AI, where machines have their own consciousness and become self-aware. This type of AI is a little far fetched given the present circumstances. However, in the future, achieving a stage of superintelligence might be possible.

What are the Different Branches Of Artificial Intelligence?

Artificial Intelligence (AI) can be roughly divided into symbolic or rules-based computing—typical 'if-then' statements—and machine learning, where AI is programmed with an algorithm that can modify itself as it gains new information.
There are different ways machine learning can be employed: deep learning by using artificial neural networks, reward-based learning, and learning based on statistical principles. Many AI programs are used for analyzing and processing images or speech or extracting information from them. Deep learning is often used for making predictions, like medical diagnoses or possible credit card fraud.
Artificial Intelligence can be used to solve real-world problems by implementing the following processes/ techniques:

Machine Learning
Deep Learning
Natural Language Processing
Robotics
Expert Systems
Fuzzy Logic

Machine Learning
A subset of AI called Machine Learning is also taking AI to the next level. Machine Learning provides systems or machines the ability to learn and improve without being explicitly programmed. It is a computer-based learning achieved by following an algorithm (a set of instructions or rules) to maximize the chance of a prediction being correct.
In other words, the capability of machines to learn for themselves including the ability to analyze extensive volumes of data to identify patterns and predict outcomes without the need for human intervention.
Any program that improves its performance based on new inputs is an example of machine learning. It may involve artificial neural networks, but doesn’t have to.
Machine Learning is the science of getting machines to interpret, process and analyze data in order to solve real-world problems.
Under Machine Learning there are three categories:

Supervised Learning
Unsupervised Learning
Reinforcement Learning

Deep Learning
Deep Learning is the process of implementing Neural Networks on high dimensional data to gain insights and form solutions. Deep Learning is an advanced field of Machine Learning that can be used to solve more advanced problems.
A type of machine learning that uses ‘deep’ neural networks. The word ‘deep’ refers to the many layers in the neural network. Deep learning is how most of today’s artificial intelligence programs operate.
Deep Learning is the logic behind the face verification algorithm on Facebook, self-driving cars, virtual assistants like Siri, Alexa and so on.
Natural Language Processing
Natural Language Processing (NLP) refers to the science of drawing insights from natural human language in order to communicate with machines and grow businesses.
Twitter uses NLP to filter out terroristic language in their tweets, Amazon uses NLP to understand customer reviews and improve user experience.
Robotics
Robotics is a branch of Artificial Intelligence which focuses on different branches and application of robots. AI Robots are artificial agents acting in a real-world environment to produce results by taking accountable actions.
Sophia the humanoid is a good example of AI in robotics.
Fuzzy Logic
Fuzzy logic is a computing approach based on the principles of “degrees of truth” instead of the usual modern computer logic i.e. boolean in nature.
Fuzzy logic is used in the medical fields to solve complex problems that involve decision making. They are also used in automatic gearboxes, vehicle environment control and so on.
Expert Systems
An expert system is an AI-based computer system that learns and reciprocates the decision-making ability of a human expert.
Expert systems use if-then logical notations to solve complex problems. It does not rely on conventional procedural programming. Expert systems are mainly used in information management, medical facilities, loan analysis, virus detection and so on.

Why is Artificial Intelligence (Ai) Important for you to Consider as a Career Path?

Artificial Intelligence (Ai) as a career is big now and will become extremely high in demand in the future. Students who are interested in Computer Science may consider this as a specialisation. Employers and companies in Malaysia and globally are scrambling to get graduates who are proficient in Artificial Intelligence.

Artificial Intelligence (AI) automates repetitive learning and discovery through data. But AI is different from hardware-driven, robotic automation. Instead of automating manual tasks, AI performs frequent, high-volume, computerized tasks reliably and without any rest or stopping. For this type of automation, human inquiry is still important to set up the system and ask the right questions.
Artificial Intelligence (AI) adapts through progressive learning algorithms to let the data do the programming. AI finds structure and regularities in data so that the algorithm acquires a skill: The algorithm becomes a classifier or a predictor. So, just as the algorithm can teach itself how to play chess, it can teach itself what product to recommend next online. And the models adapt when given new data. Back propagation is an AI technique that allows the model to adjust, through training and added data, when the first answer is not quite right.
Artificial Intelligence (AI) gets the most out of data. When algorithms are self-learning, the data itself can become intellectual property. The answers are in the data; you just have to apply AI to get them out. Since the role of the data is now more important than ever before, it can create a competitive advantage. If you have the best data in a competitive industry, even if everyone is applying similar techniques, the best data will win.
Artificial Intelligence (AI) adds intelligence to existing products. In most cases, AI will not be sold as an individual application. Rather, products you already use will be improved with AI capabilities, much like Siri was added as a feature to a new generation of Apple products or Bixby to Samsung products. Automation, conversational platforms, bots and smart machines can be combined with large amounts of data to improve many technologies at home and in the workplace, from security intelligence to insurance or investment analysis.
Artificial Intelligence (AI) analyzes more and deeper data using neural networks that have many hidden layers. Building a fraud detection system with five hidden layers was almost impossible a few years ago. All that has changed with incredible computer power and big data. You need lots of data to train deep learning models because they learn directly from the data. The more data you can feed them, the more accurate they become.
Artificial Intelligence (AI) achieves incredible accuracy through deep neural networks – which was previously impossible. For example, your interactions with Alexa, Google Search and Google Photos are all based on deep learning – and they keep getting more accurate the more we use them. In the medical field, AI techniques from deep learning, image classification and object recognition can now be used to find cancer on MRIs with the same accuracy as highly trained radiologists.

What is the Job Demand for Big data, AI and cybersecurity skills in Malaysia?

When choosing the right course to study in Malaysia, one important criteria that students should look at is the job demand. Choosing to study a course that has future potential high job demand and salary would ensure that you have a higher chance of a successful career that would support your lifestyle goals.
With the evolution of technology, the current job landscape in Malaysia has changed drastically. In many industries and countries, the current in-demand occupations or specialties did not exist 10 or even 5 years ago. The rise of technology has led to a disruption in the way we work and live. The Digital Era has changed the way we work.
Meanwhile in the tech and transformation industry, candidates moving jobs can expect salary increments of 20% to 30%, and the top skills in demand are big data and AI, cybersecurity, and agile and scrum. The top trends in this sector are emerging tech and digital transformation, e-wallets and payments, and digital forensics and cybersecurity.
Like sales and marketing professionals, only 18% of tech and transformation professionals stay less than two years in a role.
About 45% of professionals in this sector expect a 7% to 15% annual salary increment while 43% expect 0% to 6%. Meanwhile, 12% expect an annual salary increment of more than 15%. The top motivators for moving jobs are career progression 931%0, better compensation and benefits (26%), improved work-life balance (14%), and a change in role and responsibilities (11%).

The World Economic Forum (WEF) in its Future of Jobs report, characterises Industry 4.0 as the developments of genetics, artificial intelligence, networked devices, robotics, nanotechnology, 3D printing and other smart technologies.
In Malaysia, IT spending in 2018 is forecast to rise 5.7% to RM65.2 billion, faster than the projected global pace of 4.5%. The increased spending will be focus on adopting business digitalisation, blockchain technology and big data to encourage learning and artificial intelligence. According to Kelly Services 2018/2019 Salary Guide, 1 million professionals in the digital space is required in Malaysia by 2025.
11 per cent to 54 per cent of jobs in Malaysia can be significantly affected by AI in the next two decades and 7.4 per cent of Malaysian workers are at risk of being displaced by 2028.

Why Study Artificial Intelligence at a Top Private University in Malaysia?

Artificial Intelligence (AI) or Intelligent Systems is an area of study in Computer Science that focuses on creating computer systems that perform tasks that require human intelligence. This can include visual perception, decision-making, translation, and even speech recognition.
Advances in Artificial Intelligence (AI) technology is changing the way we live our lives drastically. Studying AI gives you an insight into how these changes are happening and what to expect next, placing you in a perfect position to become involved in these changes yourself.
Getting a degree in Artificial Intelligence (AI) from a top private university in Malaysia is one of the best qualifications you can have for a technical career where you will learn valuable programming skills. In addition, the AI degree is a good general degree as it demonstrates a broad education, analytical skills and an enquiring mind. It opens a wide range of career options for you allowing you to venture into other fields.

Study at a Top Private University in Malaysia for Ai

Artificial Intelligence (AI) technology is increasing its presence in our everyday lives and will change the way we live. Ai has uses in a variety of industries from gaming, media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science.
In an Ai degree programme students will learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
Most artificial intelligence degree programs will cover subjects such as artificial life, robotics, software engineering, computer programming, and machine learning. Students will also be able to choose some modules of their own interest from the electives.
It will vary depending on which university you are applying to but generally you can choose from subjects such as systems programming, mobile interfaces, networking systems, data mining and security systems.
There are many advantages of studying in top private universities in Malaysia for the artificial intelligence (Ai) course, starting from getting a good and stable life ahead to working in the best of the environments. Students will also get to learn from the best lecturers.
Because of the high entry requirements for top universities, your course mates will be just as brilliant as you are having the same like mindedness to achieve success in your academics as well as future career. The top notch education that you receive will ensure you have the knowledge and skills to obtain a high paying job and achieve financial stability quickly.
Therefore, don’t make the mistake of choosing the cheapest university for your education, choose the best university to study your artificial intelligence (ai) degree.
Below are summaries of the Artificial Intelligence (AI) or Intelligent Systems degree programmes offered at top private universities in Malaysia. To help you choose the right university to study artificial intelligence, you may contact me for further guidance.

Where to Study Artificial Intelligence in Malaysia?

Artificial Intelligence (AI) or Intelligent Systems is an area of study in Computer Science that focuses on creating computer systems that perform tasks that require human intelligence. This can include visual perception, decision-making, translation, and even speech recognition. Advances in Artificial Intelligence (AI) technology is changing the way we live our lives drastically. Choosing to study at the best private university in Malaysia for artificial intelligence makes you one step closer to an exciting career that will bring you a rewarding salary.
There are not many private universities in Malaysia offering the degree in Artificial Intelligence. This course is generally parked under the Computer Science Faculty. Malaysia’s Top Private Universities for Artificial Intelligence (Ai) or Intelligent Systems are
To get in-depth knowledge of Artificial Intelligence (Ai), you can enroll for the degree programme at top ranked private universities such as:

What are the Advantages of Studying Artificial Intelligence (AI) at a Top Private University in Malaysia?

There are many advantages of studying in top private universities in Malaysia for the artificial intelligence course, starting from getting a good and stable life ahead to working in the best of the environments. Students will also get to learn from the best lecturers.
Because of the high entry requirements for top universities, your course mates will be just as brilliant as you are having the same like mindedness to achieve success in your academics as well as future career.
Group work will be easier as they will all be working hard to achieve the same goals.
The top notch education that you receive will ensure you have the knowledge and skills to obtain a high paying job and achieve financial stability quickly. In addition, your exposure and experience will give you insight to venture into creating new businesses or career pathways. Therefore, don’t make the mistake of choosing the cheapest university for your education, choose the best university.

Who Should Study Artificial Intelligence (Ai)?

Are you an analytical thinker who enjoys working on intelligent computer systems? Would you like to know more about topics such as data mining, machine learning and information retrieval?
If this is who you are, then the degree in Artificial Intelligence is the right choice for you. You will learn how to use and develop computer systems that can learn from experience, recognise patterns in large amounts of data and reason strategically in complex decision-making situations.

Fast Facts about Studying Artificial Intelligence (Ai) in Malaysia

Learn about systems that simulate human intelligence
Diverse applications, from game design to patient diagnosis
Only a few private universities in Malaysia offer the degree in Artificial Intelligence (Ai)
Mainly offered in the Computer Science area
Computer science and artificial intelligence go hand-in-hand towards creating AI development. Students who are interested in machine intelligence require basic knowledge in many aspects of computer science like computational language and algorithms.
3-year degree full time
Accredited by Malaysian Qualifications Agency (MQA)

What will you Study in a Degree in Artificial Intelligence in Malaysia?

Computer Fundamentals
Databases and Interfaces
Fundamentals of Artificial Intelligence
Mathematics for Computer Scientists
Programming and Algorithms
Programming Paradigms
Software Engineering
Systems and Architecture
Algorithms Correctness and Efficiency
Artificial Intelligence Methods
Language and Computation
Operating Systems and Concurrency
Software Maintenance
C++ Programming
Introduction to Human Computer Interaction
Introduction to Image Processing
Autonomous Robotic Systems
Computer Vision
Designing Intelligent Agents
Individual Dissertation
Knowledge Representation and Reasoning
Machine Learning
Mathematical Techniques
Computer Programming
Database Systems
Operating Systems
Discrete Mathematics and Probability
Computer Architecture and Organisation
Data Communications and Networking
Object Oriented Programming
System Analysis and Design
Technopreneur Venture
Human Computer Interaction
Computer Graphics
Software Engineering Fundamentals
Computational Science
Pattern Recognition
Computational Intelligence
Agent Technology
Expert Systems
Computer Vision
Natural Language Processing
Algorithm Design and Analysis
Semantic Web Technology

Artificial Intelligence (Ai) 2+1 Degree Course at Top Ranked University of Nottingham Malaysia Campus

University of Nottingham Malaysia Campus computer science with artificial intelligence course is designed to develop both your general understanding of computer science and more specialist skills and knowledge in artificial intelligence (AI). In addition to fundamental computer science modules, the course covers topics including computer vision, expert systems, heuristic optimisation, the history and philosophy of artificial intelligence, intelligent agents, machine learning, neural networks and other intelligent systems.
By following this programme, you will learn how to develop new methodologies and novel computational techniques for the creation of human-like intelligence.You will spend your final year in the UK where you will study advanced AI techniques with specialist staff.
The BSc in Computer Science with Artificial Intelligence from the University of Nottingham is accredited by the British Computer Society (BCS). This is an external recognition of the excellence of our teaching, and it is also a recognition that the skills that you learn while studying the degree are of relevance to industry. Graduates from this degree may join the BCS, and with typically five years of industry experience, graduates may achieve UK chartered engineer (CEng) status.

Multimedia University (MMU) Melaka Offers the Best Bachelor of Information Technology (Honours) (Artificial Intelligence) in Malaysia

Multimedia University (MMU) in Malaysia is ranked in the Top 300 QS World University Rankings in Computer Science and Information Systems, 2017. Multimedia University (MMU) is ranked 179th in Asia according to Quacquarelli Symonds (QS) World University rankings for 2018. A study by Gartner and MSC Malaysia found that Multimedia University (MMU) is among the top five universities preferred by major ICT players for graduate employmentHaving won hundreds of awards, Multimedia University (MMU) offers the best courses in Information Technology in Malaysia. Therefore, it is undeniably the best university in Malaysia for students to study the Bachelor of Information Technology (Honours) (Artificial Intelligence) degree that’s also affordable.
The objective of this three-year Bachelor of Information Technology (Honours) (Artificial Intelligence) degree programme at the Faculty of Information Science & Technology Multimedia University (MMU) Melaka is to equip students with the necessary knowledge and skills required to be successful in building the much-needed intelligent computer systems.

Intelligent Systems at the Best Computing University in Malaysia at Asia Pacific University (APU)

Having won hundreds of awards in computing and IT in Malaysia and globally, Asia Pacific University is the best university in Malaysia to study IT especially the degree in intelligent systems.
The Intelligent Systems degree programme at Asia Pacific University is specifically designed to provide:

The ability to design and develop systems that exploit artificial intelligence techniques such as machine learning, fuzzy logic, natural language processing, etc.
The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
The ability to evaluate and respond to opportunities for developing and exploiting new applications of artificial intelligence

Computer Science (Intelligent Systems) Degree Programme at First City University College

The Bachelor of Computer Science (Intelligent Systems) (Hons) at First City University College offers a programme that equips students with knowledge, skills and techniques that enable students to analyze, design and develop complex cognitive systems.
With the fast evolvement of technology and the emergence of creative and innovative machine and software, the programme provides skills and knowledge to students to perceive the environment and react accordingly in an intelligent manner.
With the trending technologies of cloud computing, big data analytics and Internet of Things, the programme will produce students with the ability to learn and to thereby adapt to complex and changing environments, requirements and users.
At the end of this specially-designed programme, graduates should be able to demonstrate knowledge and understanding of essential facts, concepts, principles, and theories relating to Intelligent Systems; apply theoretical principles, data structures and algorithms to optimize the performance of Intelligent Systems; and apply computing skills and methodology to analyse, design, develop and evaluate Intelligent Systems.

Friday, April 3, 2020

Study Artificial Intelligence (AI) at a Top University in Malaysia - A Course with High Job Demand & Salary

Find Out More About What is Artificial Intelligence (AI) So You Can Make the Right Choice in Choosing a Course that Has High Job Demand & Salary

Written by EduSpiral Consultant Services. For more information contact 01111408838

We are surrounded by Artificial Intelligence (AI) and we often use it without realizing. Every time you ask Siri or Bixby to do a task, use a Tiktok filter, have junk mail filtered from your inbox, or get a traffic update on Waze, AI is at work.
Basically, Artificial intelligence is the use of a program, or algorithm, to perform a task which requires humans to use our intelligence. Just as we use our brains to learn from new information gathered by our senses, AI learns from information fed to it—either many examples of an image, say, or the rules of a game—and processed according to how it is programmed. When AI is programmed to follow an algorithm, it is called machine learning. AI can handle massive amounts of data that our brains simply cannot cope with.
We are in the era of Industry 4.0 where technology is replacing many jobs and job functions. Students must prepare themselves and choose courses that will have job demand in the future, if not, you will become jobless. Artificial Intelligence (AI) is one of the courses that students can consider where it has a high job demand and salary not only in Malaysia but globally. Read on to find out more about what AI is about in order to make the right decision for your future.

You might also be interested in:

What is Artificial Intelligence?

In 1956, John McCarthy defined the term Artificial Intelligence (Ai) as: ‘The science and engineering of making intelligent machines.’
In addition, Artificial Intelligence can be understood as the development of computer systems that can perform tasks requiring human intelligence. Human intelligence such as decision making, detecting objects, solving complex problems and so on. Basically, Ai is when a machine performs an “intelligent” task.

Artificial Intelligence (AI) means getting a computer to mimic human behavior in some way.
Machine learning is a subset of AI, and it consists of the techniques that enable computers to figure things out from the data and deliver AI applications.
Deep learning, meanwhile, is a subset of machine learning that enables computers to solve more complex problems.

What are the Types Of Learning In Artificial Intelligence?

Artificial Narrow Intelligence
Artificial General Intelligence
Artificial Super Intelligence

These are the three stages through which AI can evolve, rather than the 3 types of Artificial Intelligence.

Artificial Narrow Intelligence (ANI)
- Also known as Weak AI, ANI is the stage of Artificial Intelligence involving machines that can perform only a narrowly defined set of specific tasks. At this stage, the machine does not possess any thinking ability, it just performs a set of pre-defined functions.
- Examples of Weak AI include Siri, Alexa, Self-driving cars, Alpha-Go, Sophia the humanoid and so on. Almost all the AI-based systems built till this date fall under the category of Weak AI.
Artificial General Intelligence (AGI)
- Also known as Strong AI, AGI is the stage in the evolution of Artificial Intelligence wherein machines will possess the ability to think and make decisions just like us humans.
- There are currently no existing examples of Strong AI, however, it is believed that we will soon be able to create machines that are as smart as humans.
Artificial Super Intelligence (ASI)
- Artificial Super Intelligence is the stage of Artificial Intelligence when the capability of computers will surpass human beings. ASI is currently a hypothetical situation as depicted in movies and science fiction books, where machines have taken over the world.

Further Definitions of the Types of Artificial Intelligence (AI)

Reactive Machines AI
Limited Memory AI
Theory Of Mind AI
Self-aware AI

What are the Different Branches Of Artificial Intelligence?

Machine Learning
Deep Learning
Natural Language Processing
Robotics
Expert Systems
Fuzzy Logic

Supervised Learning
Unsupervised Learning
Reinforcement Learning

Where to Study Artificial Intelligence in Malaysia?

To get in-depth knowledge of Artificial Intelligence (Ai), you can enroll for the degree programme at top ranked private universities such as:

What are the Advantages of Studying Artificial Intelligence (AI) at a Top Private University in Malaysia?

There are many advantages of studying in top private universities in Malaysia for the artificial intelligence course, starting from getting a good and stable life ahead to working in the best of the environments. Students will also get to learn from the best lecturers.Because of the high entry requirements for top universities, your course mates will be just as brilliant as you are having the same like mindedness to achieve success in your academics as well as future career. Group work will be easier as they will all be working hard to achieve the same goals.
The top notch education that you receive will ensure you have the knowledge and skills to obtain a high paying job and achieve financial stability quickly. In addition, your exposure and experience will give you insight to venture into creating new businesses or career pathways. Therefore, don’t make the mistake of choosing the cheapest university for your education, choose the best university.

Who Should Study Artificial Intelligence (Ai)?

What will you Study in a Degree in Artificial Intelligence in Malaysia?

Computer Fundamentals
Databases and Interfaces
Fundamentals of Artificial Intelligence
Mathematics for Computer Scientists
Programming and Algorithms
Programming Paradigms
Software Engineering
Systems and Architecture
Algorithms Correctness and Efficiency
Artificial Intelligence Methods
Language and Computation
Operating Systems and Concurrency
Software Maintenance
C++ Programming
Introduction to Human Computer Interaction
Introduction to Image Processing
Autonomous Robotic Systems
Computer Vision
Designing Intelligent Agents
Individual Dissertation
Knowledge Representation and Reasoning
Machine Learning
Mathematical Techniques
Computer Programming
Database Systems
Operating Systems
Discrete Mathematics and Probability
Computer Architecture and Organisation
Data Communications and Networking
Object Oriented Programming
System Analysis and Design
Technopreneur Venture
Human Computer Interaction
Computer Graphics
Software Engineering Fundamentals
Computational Science
Pattern Recognition
Computational Intelligence
Agent Technology
Expert Systems
Computer Vision
Natural Language Processing
Algorithm Design and Analysis
Semantic Web Technology

Thursday, April 2, 2020

Best University in Malaysia to Study Artificial Intelligence (Ai)

Study Artificial Intelligence (AI) at a Top University in Malaysia – A Course with High Job Demand & Salary

Written by EduSpiral Consultant Services. For more information WhatsApp 01111408838

There are many advantages of studying in top private universities in Malaysia for the artificial intelligence (Ai) course, starting from getting a good and stable life ahead to working in the best of the environments. Students will also get to learn from the best lecturers.Because of the high entry requirements for top universities, your course mates will be just as brilliant as you are having the same like mindedness to achieve success in your academics as well as future career. The top notch education that you receive will ensure you have the knowledge and skills to obtain a high paying job and achieve financial stability quickly. Therefore, don’t make the mistake of choosing the cheapest university for your education, choose the best university to study your artificial intelligence (ai) degree.

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List of the Best Universities in Malaysia Offering the Artificial Intelligence (Ai) or Intelligent Systems Course

Artificial Intelligence (Ai) 2+1 Degree Course at Top Ranked University of Nottingham Malaysia Campus

Multimedia University (MMU) Melaka Offers the Best Bachelor of Information Technology (Honours) (Artificial Intelligence) in Malaysia

Intelligent Systems at the Best Computing University in Malaysia at Asia Pacific University (APU)

The ability to design and develop systems that exploit artificial intelligence techniques such as machine learning, fuzzy logic, natural language processing, etc.
The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
The ability to evaluate and respond to opportunities for developing and exploiting new applications of artificial intelligence

Computer Science (Intelligent Systems) Degree Programme at First City University College

Wednesday, April 1, 2020

Top Technology Courses to Study that has Future High Job Demand & Salary

Technology Courses in Malaysia with High Job Demand & Salary

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TECHNOLOGY and transformation roles across industries in Malaysia remain in high demand as more companies work on improving their business processes and delivery following the advancement in digitalisation. The country’s job market demand in the next decade will shift from traditional labour to high-paying jobs that require technological skills.
With digital and technological advancements, employers are paying a premium for talent in these areas. Moreover, as Malaysia invests more into its technological infrastructure, the more it will see tech talent flooding into the nation, thereby growing its digital economy and pushing forward its Industry 4.0 goals.
According to the MDEC Digital Talent Report, come the year 2020, the nation is estimated to be in a shortage of talent in the digital industry — IT and computer science by 1,200, engineering by 2,900 and the creative arts by 4,900.
Citing a recent Digital Talent Report commissioned by Malaysia Digital Economy Corp (MDEC) in 2017, he said Malaysia’s digital talent demand was expected to grow by 15% annually, that would require more than 540,000 jobs by 2020.
Digital talent is already in high demand at present and looks to grow even more in years to come. The World Economic Forum estimates that while 75 million existing roles may decline by 2022, it was also projected that 133 million new roles will emerge as smart technologies disrupt most if not all industries.
The prime reason for graduate youth unemployment is the mismatch of graduate qualifications with the country’s workforce needs. Graduates must align themselves with the changes of the emerging workplace, to remain relevant and competitive.
Part of finding the right career in Malaysia for you will be looking at the future job demand in Malaysia and globally. You don’t want to have completed a degree course and then not be able to find a job or realise that the job pays very low salary. Therefore, it is important for students after high school or Pre-University to choose the right course to study – you don’t want to waste your time and money on a course you don’t want to do or worse being unemployed finding out that the course you have studied does not have any job demand.

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Best Technology Courses with Future Job Demand

According to a report published by the World Economic Forum, changes in demographics and technological advancements may lead to the net loss of 5 million jobs by 2020. In total, the report estimates that a total of 7.1 million jobs could be lost, the majority of which will be white-collar office and administrative jobs.

About 75 million current job roles may be displaced by the shift in the division of labour between humans, machines and algorithms, while 133 million new job roles may emerge at the same time.
Jobs that are based on the use of technology or enhanced by it will continue to grow such as Data Analysts, Software and Applications Developers and E-commerce and Social Media Specialists.

However, also expected to grow are job roles based on distinctively ‘human' traits, such as Customer Service Workers, Sales and Marketing Professionals, Training and Development, People and Culture, and Organizational Development Specialists as well as Innovation Managers.

What is the Salary for Technology Professionals in Malaysia?

According to the JobStreet.com 2017 Salary Report, IT/computer consulting jobs (IT, science, engineering and technical) for senior managers in Kuala Lumpur, Selangor and Putrajaya command the highest average maximum monthly salary of around RM18,000.
Meanwhile, IT/computer workers in consumer and fast-moving consumer goods industries earn the highest average minimum salary of RM14,000 within the same region. Engineering jobs in East Malaysia’s semiconductor/wafer fabrication field will fetch you the highest average minimum and maximum monthly salary of RM17,000 and RM27,500 respectively.

Choose the Right Course so that you won't end up Jobless when you Graduate

Choosing the right course to study after SPM or O-Levels is just the first step in the right direction of achieving a life with stable or high income. Some students have known what they wanted to be since they were young while others are no sure, even after completing their SPM & O-Levels.
Furthermore, one of the main aims of getting a university education in Malaysia is to find a stable job so that you can take care of yourself and your family. However, nowadays, with the high cost of living, just finding any job will not do. You will need to find a job that has a high salary.
With the high youth unemployment rate in Malaysia, it is important to choose your course wisely. The Ministry of Education reported that 57,000 of 173,000 of 2017 graduates remained jobless after looking for a job for six months. The prime reason for graduate youth unemployment is the mismatch of graduate qualifications with the country’s workforce needs. Graduate unemployment was 9.6 percent or 204,000 at the end of 2018.
Therefore, if you chose the wrong course, you may end up jobless after graduating from university.

Shortage of Information Technology (IT) Professionals in Malaysia

According to a report from Frost & Sullivan, there will be a shortage of 11,000 Information Technology (IT) professionals in 2020. Demand-wise, the highest demand for fresh graduates in technical skills is expected in software
development/programming followed by e-commerce and emerging technologies by 2020.

Rise in Technology Based Jobs in the Era of Industry 4.0

Digitalisation and improved compliance regulation are predicted to be the key drivers of recruitment activity in Malaysia next year. According to the Salary Survey 2019 by Robert Walters, greater clarity on the new government’s policies and direction will pave the way for more positive market conditions in 2019. Meanwhile, job seekers can expect an approximate 20% to 30% salary increase in 2019.
Individuals with strong skills in digital marketing and digital solutions sales will also be highly sought after, due to continued investment in digital and the increased adoption of technology. In light of this, hiring managers are advised to be clear, open-minded and reasonable with their expectations during the recruitment process.
The demand for skills in emerging technologies such as robotics process automation, AI, big data and blockchain, will continue in 2019. As such, there will be strong hiring demand for skillsets in cyber security, digital forensics and cloud services. Increased investment in new systems and talent development can be expected in 2019, as technology continues to be a main business driver.
With the evolution of technology, the current job landscape in Malaysia has changed drastically. In many industries and countries, the current in-demand occupations or specialties did not exist 10 or even five years ago. The rise of technology has led to a disruption in the way we work and live. The Digital Era has changed the way we work.
Malaysia government’s focus was also in line with its efforts to meet the challenges of the Industrial Revolution 4.0 (IR 4.0) that requires highly skilled human capital. More new job opportunities would emerge as the digital revolution unfolded, and cited the World Economic Forum’s estimate that 65% of the workforce will work in the yet to be created job sector because it requires digital skills.
As the digital economy grows, Malaysia must be prepared to choose jobs that will be in demand in the future as well as still exist. 75 million job roles are expected to disappear by 2022 according to the “Future of Jobs Report 2018” by the World Economic Forum,. Furthermore, another 133 million roles are expected to emerge.

The Fourth Industrial Revolution (Industry 4.0), artificial intelligence (AI), innovation, automation, Internet of Things (IOT) and other technological advancement would impact all industries. The Industry 4.0 will change the kinds of jobs needed across all market sectors. Therefore, students must possess the right skills to value-add, creative, empathetic and interactive in a technology-driven job landscape.
In addition, newer businesses are integrating machine learning practices in their business processes for purposes such as fraud detection and marketing automation in order to compete with larger businesses. These advancements are increasing expectations of an exciting boom in technology adoption once these businesses mature over the next five years.
A further result of this keen adoption is that companies with a welcoming approach towards technology are creating a demand for newer technologies such as blockchain, big data and cloud. This is perhaps best illustrated by the ecommerce giant Alibaba’s continued interest in Malaysia, rolling out AI powered products for end customers, creating a number of job opportunities for candidates with a hardcore programming background (R, Python, C++) and an understanding of complex data structures and algorithms. This year has also seen the creation of a new country office – a “one-stop solution centre” for local businesses designed to support Malaysia’s technology innovation through cloud computing services – following soon after the launch of its first electronic world trade platform hub outside of Mainland China, creating the infrastructure to support global trade with services encompassing ecommerce, logistics, cloud computing, mobile payment and talent training.
Malaysia has a high unemployment rate among its graduates. Thus, it is vital for students to consider carefully in the early stages which courses that would lead to jobs that will be high in demand in future. Ask advise from knowledgeable and experienced counselors who can assess you, advise you with evidence based information and guide you to the best course that suits you.

Engineering & Technology Jobs: Malaysia 2019 Salary Increase & Total Compensation Measurement Survey by Aon plc

According to the Malaysia 2019 Salary Increase & Total Compensation Measurement Survey by Aon plc, median pay for jobs in engineering and technology are relatively higher than all other job roles across the Malaysia market. Those working in engineering roles earn, on average, 14 percent higher and those in technology such as cyber security and information technology, earn 12 percent more than other job functions within the Malaysia market as a whole. Fresh engineering and high-tech graduates enjoyed a 16 percent higher starting median salary compared to fresh graduates in other functions.
The survey further revealed that median pay for software engineers/application developers increased by 17 percent from the previous year across various levels of seniority, demonstrating the continuing commitment of Malaysian employers to prepare for Industry 4.0.
Across all industries, senior legal managers earned 20 percent more than the market average, whereas compensation for senior business development managers/strategic planners was 22 percent higher than the market average, illustrating the premium employers place on professionals with specialist skill sets.
The Malaysia 2019 Salary Increase & Total Compensation Measurement Survey is Aon's nationwide measure on how organisations are addressing projected salary budgets, variable pay, cost-saving initiatives, and more.

Top Technology Courses in Malaysia that Students Should Consider

What are the best careers for the future? How will everything change? Is it possible to prepare for the jobs of tomorrow—today? Many of us would love to have definitive answers for these questions. But, of course, nobody can say for sure what the future holds. The best we can do is make educated guesses based on past and current trends. Still, even educated guesses can help us imagine some pretty astonishing possibilities.
Here's one thing we know: Change will keep happening. America and the rest of the world will experience social, cultural, economic, environmental, and technological changes. Some of these changes can be foreseen (such as the likely impact of climate change). But many of them can't be predicted. New challenges may arise without any warning. And "happy accidents" may lead to positive new discoveries that solve long-standing problems.
So predicting the best jobs for the future requires understanding that all kinds of variables will interact in complex and surprising ways. Many of tomorrow's jobs will likely result from today's scientific and technological advances. But most jobs of the future probably don't exist yet, and a lot of them haven't even been imagined. In fact, according to one estimate, almost two-thirds of today's kindergarten students will eventually have occupations that don't currently exist.1
Of course, many of today's occupations will continue to be part of the future, but they'll undergo changes just like everything else. And many occupations will transform into something entirely new—or disappear altogether. It's a lot to think about, let alone visualize. After all, many of us have a natural resistance to change and uncertainty. We might feel a little too safe or comfortable with the status quo.
That's why it can pay to explore and imagine career possibilities like the 51 listed below. They can reveal new paths forward or suggest ways that you may want to adapt in order to prepare for the future's most interesting or plausible scenarios. Many occupational categories are already changing and overlapping with one another, which is a process that may accelerate. But don't let that overwhelm you. This article will show you several good career options to start considering.
Check out the best careers that you can get today as well as the ones that are more futuristic:

Cybersecurity Job Demand in Malaysia

Cybersecurity is very much a global issue. When attacks happen in the US, chances are, they will trickle down to other parts of the world too.
According to Forbes, the global cybersecurity market reached $75 billion for 2015 and is expected to hit $170 billion in 2020. In Malaysia, specifically, cybercrimes have increased at an average of 10,000 cases per year – the highest number involves online scams and hacking information systems of organisations.
In 2015, there were 1,714 cases of cyber hacking reported in Malaysia. This year, however, it’s shocking to note that 1,705 incidents have already been reported during the first half of the year!
Asean’s cybersecurity spending is forecasted to grow 15% CAGR (compound annual growth rate) between 2015 and 2025. In addition, Malaysia is one of the top three Asean countries that are expected to contribute 75% of the cybersecurity services market share by 2025

Cybersecurity Malaysia and the Asia-Pacific Computer Emergency Response Team (APCERT) partnership to promote intra-regional cooperation and cross-border collaboration in cybersecurity
Cybersecurity Malaysia and Standard Chartered partnership to combat cybercrimes in Malaysia
Over 10,000 cyber incidents reported per year in Malaysia 4. 6,875 reported cyber incidents between January-September 2017
30% of the cybersecurity environment to incorporate cognitive/AI technologies by 2018 6. 70,624 hacked servers were up for sale in 2017

According to a Frost and Sullivan survey, the demand for cybersecurity-related jobs would hit 10,500 by 2020. Malaysia Digital Economy Corporation (MDEC) shares that Malaysia is one of the best ranking countries in the Asean region based on potential in the cyber-security industry.
Malaysia Digital Economy Corporation chief executive officer Datuk Yasmin Mahmood said it was forecasted that by 2020, the industry would see a talent gap of about 6,000 given its current trajectory. Cybersecurity strategists, cyber troopers and cyber warfare analysts are in demand in the market.
As it can be seen above, Cybersecurity ICT professionals can command higher than the average monthly salary of their respective job categories. Why are the salaries so high? One explanation is that there is a critical shortage of specialised cybersecurity professionals worldwide who are able to protect organisations from sophisticated online attacks.
In Malaysia, the Malaysia Digital Economy Corporation (MDEC) has teamed up with global technology and information security association ISACA to address the shortage of cyber security professionals in our country. There are currently 6,300 cyber security professionals in Malaysia and a target has been set to provide 10,000 professionals by 2020.
Cybersecurity concerns, and corresponding countermeasures, will also likely be a major investment theme as major cyber-attacks continually made making headlines. Candidates who are skilled in OpenSource, DevOps or cyber security are limited in number but essential to digital development plans, so they will be highly sought after.

3.5 Million: A study by CyberSecurity Ventures shows that by 2021 there will be a deficit of 3.5 million cyber security professionals in the world
10,500: Number of cybersecurity talent demand in Malaysia by the year 2020 (Source: Frost & Sullivan’s recent digital talent study)
Top 10% of job opportunities in Malaysia is related to cybersecurity. (Source: Talent Pool Report Pro – Oct 2017)
21%: The percentage of women in Malaysian cybersecurity Workforce (Source: Dec 2017 LinkedIn Report)
USD 632.6M: Estimated value of Malaysia’s overall security services market in 2021 (Source: IDC market Security product and services forecast, 2H16)

With so much data that needs to be protected from theft or damage, governments and businesses need trained professionals in Computer Security or Cyber Security to ensure sufficient protection

Data Science Job Demand in Malaysia

Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. In Malaysia alone, by the year 2020 this need is expected to reach at least 20,000 data professionals and 2000 data scientists. Job demand as well as salary for qualified Data Scientists or Big Data Professionals in Malaysia is high
With the rise of Big Data, Machine Learning and Deep Learning, the demand for quantitative analysts and data scientists is also on the rise, not only at FinTech start-ups, but also at large investment banks and hedge funds. These professionals write and execute complex financial models that can sift through and make sense of vast amounts of digital information. They may also design data-driven trading programmes, develop innovative algorithms using quantum computing and automate financial processes to minimise human inputs.
A report from the recent Digital Workforce of The Future by LinkedIn, which revealed that a combination of skills encompassing Big Data, data analytics and web development registered a 21% growth in demand. In Malaysia, the top five in-demand digital skills are big data, software and user testing, mobile development, Cloud computing and software engineering management.
Big Data Analytics Cloud and big data are anticipated to record significant growth in the next few years
MDEC to set up an innovation lab for enterprises to test and access analytics tools that use cloud technology
US$640.0 million projected value of cloud investments in Malaysia by 2020
US$196.0 million projected spending in BDA in 2017.
In 2017, Alibaba Cloud announced plans to build a cloud platform in Malaysia to enable local SMEs to succeed in the digital age
Data science candidates need not only have research-level experience but also familiarisation with production-level ML. Solid understanding of programming languages such as R, Python and MALLET is a must.
They also need to have hands-on experience with tools such as Tensorflow, Dialogflow and have worked on projects with large data sets. Having a profile showcasing technical skills on Kaggle and Github has become mandatory.

Artificial Intelligence (Ai)

The World Economic Forum (WEF) in its Future of Jobs report, characterises Industry 4.0 as the developments of genetics, artificial intelligence, networked devices, robotics, nanotechnology, 3D printing and other smart technologies.
In Malaysia, IT spending in 2018 is forecast to rise 5.7% to RM65.2 billion, faster than the projected global pace of 4.5%. The increased spending will be focus on adopting business digitalisation, blockchain technology and big data to encourage learning and artificial intelligence. According to Kelly Services 2018/2019 Salary Guide, 1 million professionals in the digital space is required in Malaysia by 2025.
11 per cent to 54 per cent of jobs in Malaysia can be significantly affected by AI in the next two decades and 7.4 per cent of Malaysian workers are at risk of being displaced by 2028.

Financial Technology (Fintech) Job Demand in Malaysia

With the advancement of new technology brings new challenges and opportunities, it is important that Malaysia’s higher education play a key role in producing graduates equipped with the skills that employers will need. The explosion of the internet and the mobile internet has catalyzed the rapid development of financial technology (Fintech). Malaysia is also moving rapidly towards a cashless digital society. The WeChat mobile wallet is now live – the platform’s first expansion outside of China and Hong Kong. Together with Alipay and Samsung Pay, these players will disrupt the payments space.
The Fintech industry covers businesses that use technology within financial services to improve a product or service for customers and this covers everything from payment methods to setting up bank accounts. Demand for tech savvy candidates with experience with e-money and blockchain technologies and digital transformation skills remains high.
Perhaps the greatest barometer of Malaysia’s comfort with technology is the rise of the e-commerce sector, which grew to represent 6.1 per cent of GDP in 2016, up from 5.9 per cent the previous year. This rise is expected to continue, as the ‘National E-Commerce Strategic Plan 2016-2020’ initiative aims to almost double the industry’s growth rate to 20.8 per cent by 2020. As a result of this, Malaysia is witnessing an upsurge in both mobile commerce and e-commerce and is adopting an increasing number of cashless forms of payment including blockchain technology, e-wallets and even mobile payment applications, leading to some 17 per cent of Malaysia’s fintech companies being e-wallets and social network giant WeChat entering the already crowded market.
APAC Fintech solutions and services are expected to gross more than $70 billion in revenue by 2020, growing at a CAGR of 72.5%.
According to Bank Negara Malaysia assistant governor Marzunisham Omar, by 2020, digital banking consumers in Asia alone are expected to reach 1.7 billion from the current estimated 670 million. Malaysia’s Islamic financing is most likely to ride on success of Fintech
The Fintech Industry will introduce the use of AI systems, already used in social media networks, to manage the Digital Ecosystems of established financial institutions. This allow for a uniform consumer experience amongst diverse types of financial services.
Fintech investment ballooned from $1.89 billion in 2010, to $27 billion in 2017. The increase in fintech spending is expected to continue, with the Asia/Pacific and African markets driving a significant share of market growth. According to the Hays 2018 Salary Report on Fintech Jobs in Malaysia, the Malaysian finance technology (Fintech) market grew steadily over 2017 driven by new technology innovations and regulatory change. The central bank, Bank Negara Malaysia, is working to raise the profile of FinTech amongst financial firms and insurers to improve the quality and efficiency of the country’s financial services sector. This push has created more job opportunities for candidates in the emerging technologies space including mobile and the web.

Internet of Things (IoT) Job Demand in Malaysia

Gartner predicts that by 2017, 50 percent of IoT solutions (typically a product combined with a service) will originate in startups that are less than three years old. Malaysia also have their own IoT Ecosystem. Over the recent years, technology companies have developed more devices with capabilities to be connected to the Internet — including watches, televisions, cameras and others. A separate report by IHS Markit also suggested that there will be more than 20 billion connected devices in 2020.
In Malaysia, the IoT industry is expected to generate over 14,000 new jobs and contribute billions of ringgit to the economy. According to MIMOS, the implementation of IoT is also likely to contribute RM9.5 billion to Malaysia’s gross national income by 2020, and RM42.5 billion by 2025. From the RM42.5 billion projection, RM34 billion will be driven by apps and services, as well as analytics solutions. Separately, the Ministry of Science, Technology and Innovation added that IoT is likely to create over 14,270 high-skilled employment opportunities by 2020.
Advancements in IoT are anticipated to drive smart city initiatives such as transforming Cyberjaya into a “living lab” for IoT implementations 1. $9.7 billion is the targeted economic value of IoT by 2025 from $2.2 billion in 2020
Alibaba Group to assist local entrepreneurs and start-ups in training and developing etalents through IoT technology
125,000,000 connected devices in Malaysia by 2025
Malaysia leading ASEAN in the use of IoT through pilot projects in agriculture and healthcare, e.g., smart farming and continuous healthcare monitoring
Huawei collaborating with Sarawak State Government to promote IoT solutions, e.g., smart city planning
UEM Edgenta and Microsoft partnership to drive digital initiatives based on cutting-edge technologies, such as IoT, predictive data analytics, machine learning, and augmented reality

Software Development Job Demand in Malaysia

Software development companies in Malaysia are steadily increasing their portfolios, but there is a shortage of skilled software development candidates for the growing number of jobs, says recruiting experts Hays in Malaysia.

Information Technology (IT) Job Demand in Malaysia

The information technology (IT) industry is expected to face a shortage of between 7,000 and 15,000 professionals, as Malaysia rides the wave of the growing digital economy. The industry is currently in need of specialised workers in various IT fields. By 2025, the IT industry will require one million specialised working professionals as the industry is experiencing a rampant growth.
The gap between the demand for information and computer technology (ICT) talent and the supply of that talent is large. Study indicates that the existing situation cannot even supply half of the demand by 2020, about 500,000 human capital educated in science and technology will be needed in Malaysia. From this number, at least 30,000 graduates are required in the ICT job market.
The Information Technology (IT) in Malaysia sector is exceptionally diverse and continues to grow. IT professionals often move between professional specialisations as their interests and expertise grow and change.
An evidence-based list of occupations in Malaysia that reflects the most sought-after and hard-to-fill occupations by industry, the COL report identifies skills imbalances across key sectors of the Malaysian economy for the year 2017/2018.The report covers 18 economic sectors and one of the sectors in demand in Malaysia is Information and Communication. The Critical Occupations List (COL) shows occupations that are skilled, sought-after and strategic in Malaysia. Out of the Top 58 Jobs listed in the Critical Occupations List (COL), 11 jobs in demand in Malaysia are related to information technology (IT).
According to the Monster Employment Index (MEI), the country’s IT, Telecom and BPO sector witnessed the steepest annual growth of all local industries, increasing by 24% between June 2018 and June 2019.

Digital Marketing Job Demand in Malaysia

There is strong demand for sales and marketing professionals in the e-commerce, retail and industrial sectors. As online spending continued to grow for personal care, fashion, beauty and fresh food products; candidates with experience in merchandising and digital marketing were highly sought after.
Businesses are looking for experienced Digital Marketers to provide strategic direction on which online channels would best complement traditional marketing efforts. As businesses continue to move towards selling their products and services via online channels, we are seeing increasing demand for Sales Managers who can sell advertising space on these platforms. Being a major income source for advertising agencies, there will continue to be a high demand for these individuals.
According to a Top Markets report, e-commerce adoption rates in Malaysia make up 70% of the population, and this is partly due to the government’s effort in pushing for online businesses. Job seekers can definitely look towards this field, as the sector is expected to grow by 34% this year to US$3.8bil, BMI Research reported. What job seekers may be interested to know is that Alibaba intends to set up a regional distribution hub here, which can only mean more job opportunities.
E-commerce contribution to the GDP is expected to reach about RM83.6 billion in 2017 from RM74.6 billion in 2016, representing a y-o-y growth of about 12.1%. (The official 2017 ICT Satellite Account is expected to be released in October this year) The Southeast Asian internet economy is expected to grow from USD50 Billion to USD250 Billion over the next 7 years. The government’s efforts since the launch of the Multimedia Super Corridor in 1996 has put Malaysia in a leading position to benefit from this growth.
Efforts to commoditise and industrialise the ICT and Internet sectors, stimulating significant changes in the demand and supply chain of Malaysia. By 2025, Malaysia is forecast to have 125 million connected devices and over 58 million mobile subscribers. More than 90% of netizens or Internet users will be active social network users, presenting immense potential for digital marketing and e-commerce. The Internet economy (iGDP) market is expected to contribute 16% to GDP by 2025, driven by demand for the Internet and digitally-connected solutions.
By 2020, 14.4% of retail sales will be online, up from 3.1% in 2013. The future of retail will involve an omnichannel approach, amalgamating all touchpoints to create a unique bricks-and-clicks model.
Sales from online retail (e-tail) forecast to grow sevenfold to US$6.1 billion by 2020, riding on the high smartphone and Internet penetration alongside rising disposable incomes in Malaysia.
The Digital Free Trade Zone (DFTZ) is vital in providing physical and virtual zones to promote digital economy growth and cross-border e-commerce activities.

Cloud Computing Job Demand in Malaysia

As the vast majority of companies move important systems to the cloud, more and more are choosing a hybrid approach, with multiple vendors. In the coming years, cloud engineers will develop solutions at scale that are a mix of both in-house technology and outside systems -- going beyond Amazon engineers working on AWS or Microsoft engineers working on Azure
Significant growth is expected in Infrastructure services such as networks, platforms and specialist areas such as cloud and virtualisation; Salaries of IT directors with more than 10 years of experience pegged at RM250k-360k per annum
Data Centre Approximately 25% of enterprises in data-intensive industries are expected to adopt formal data centre planning, sourcing, and governance processes to expedite digital transformation (DX) efforts
US$550 million in incremental GNI for the data centre industry by 2020
5,000,000 square feet of data centre space by 2020
US$180.8 million revenue for cloud and data centre industry in 2017
Announcement of the 700-acre Sedenak Iskandar data hub to meet rising demand for data centre space and services

Blockchain Job Demand in Malaysia

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Malaysia has launched a work visa program which targets tech freelancers. The aim is to address a demand for blockchain capable talents.
The Malaysia Digital Economy Corporation (MDEC) (a government-owned organization that oversees the tech sector), a blockchain organization and a job marketplace jointly launched the program.
The program seeks to attract foreign professionals who will have the right to stay in the country for up to 12 months to provide blockchain-related services or undergo training at a Malaysian company.
The MDEC growth ecosystem development vice-president stated that the program will be kicked off by starting with blockchain jobs. The number of visas to be issued depends on the projects that will be run by blockchain companies in Malaysia.
As previously reported, the blockchain organisation established its Blockchain Centre in a 10,000-square foot facility in the capital of Kuala Lumpur to serve as an accelerator, incubator and coworking space. The centre also houses the firm’s Innovation Lab, a headquarters for the research and development of the company’s platform.
In June 2018, a Malaysian government advisory committee, Majlis Perundingan Melayu signed a memorandum of understanding with South Korean blockchain lab for blockchain tech development permissible under Sharia law. The parties aim to develop a blockchain platform and a decentralized application that would meet the social requirements to be considered permissible by the Sharia Commission.
In September 2018, the government of Hong Kong announced an initiative that seeks to attract professionals in distributed ledger technology by simplifying the immigration policy. The move designated the government’s intention to support Hong Kong’s development as a high value-added and diversified economy.
OpenGov reported earlier on the use of blockchain in Malaysia. The nation is working to build the first blockchain-city in Asia, with the aim of using blockchain to make the city the leading tourist destination in Malaysia.
Malacca, the Malaysian city, will reportedly be turning 835 acres into a tourist blockchain-city of the future, with support of the government of China and several major corporations.
The Melaka Straits City will be constructed on a total of 635 acres of reclaimed land, where boutique hotels and about 100 villas with a beautiful sea view and private access to the beach will be built along the coastline, while another 200 acres of the marine area will be kept for building chalets, and water recreation facilities.
More recently, OpenGov Asia reported that Malaysia will use blockchain for securities borrowing and lending. The stock exchange of Malaysia will be working with bank stakeholders in developing Southeast Asia’s first blockchain proof-of-concept for securities borrowing and lending.
The project will explore the opportunities afforded by blockchain technology to develop greater transparency and to address other operational challenges associated with the SBL market in the country. The project aims to ramp up efficiency, speed, and capacity in securities lending supply and borrowing demand.
It is evident that Malaysia is steering the nation towards digital transformation at a rapid pace. OpenGov Asia covered how the Government is looking to secure more investments in high tech (for example, blockchain-based technology).
The investments are necessary for boosting the country’s growth. With its a business-friendly environment and policies fine-tuned to accommodate investors, Malaysia is the perfect place for high-tech investments, according to the Prime Minister.
As the nation now begins issuing work visas as part of the new program, it is expected that Malaysia will see another spike in blockchain innovations and new distributed ledger (DLT) technologies.

Game Development Job Demand in Malaysia

Choon Meng, Game Technology at KDU University College[/caption]
The Malaysian National Creative Industry Policies, governed by the Ministry of Communications and Multimedia has identified the gaming industry as one of the ten main categories in the Creative Industry, namely Visual Arts, Performing Arts, Music, Literature, Fashion and Design, Traditional and Cultural Arts, Creative Education, Creative Technologies, Film/TV/Gaming Content, and Culinary Arts. In 2018, the Gaming Industry alone contributed USD100 million to Malaysia’s revenue and expected to show an annual growth rate (CAGR 2018-2023) of 10.9 per cent, which will result in a market volume of USD168 million by 2023. Malaysia also ranks 21st worldwide in term of games revenue, with the total amount of USD633 million.
In 2017, some 60 local game-making studios recorded exports worth RM600 million. The digital content industry includes animation, games, visual effects, new media and infrastructure platforms sectors. From 2013 to 2017, these sectors collectively grew by 6%, generating RM7.9 billion in revenue. At
present, there are more than 370 studios in Malaysia directly involved in various stages of development and production, involving over 11,000 jobs
During Budget 2019, a total of RM10 million has been allocated to develop eSports. With the commitment shown by the Government, the eSports in Malaysia is expected to boom this year as Youth and Sports Ministry also aspires Malaysia to be the eSports hub in the region. Esports Malaysia (ESM), a governing body for electronic sports in Malaysia has been reformed to address the concerns of eSports athletes and spearhead the development of eSports in the country.
In 2016, ASEAN decided to jump on the bandwagon by hosting its very own eSports tournament. Malaysia, in collaboration with eSports Malaysia hosted the first ever ASEAN Games for eSports (AGES) with a prize pool of around US$256,000.
Most recently, the 2018 Asian Games, held in Jakarta and Palembang simultaneously, had – for the first time – six demonstration games as part of its eSports event. The games were Arena Of Valor, Hearthstone, Pro Evolution Soccer, League Of Legends, Clash Royale and StarCraft 2.
The games industry continues to grow strongly in both Southeast Asia and Malaysia.

Southeast Asia is recognised as the world’s fastestgrowing region for all online games revenue (PC and mobile included). According to Niko Partners, a
leading industry market research firm, the PC online and mobile game revenue in South-East Asia is projected to reach $4.4 billion by 2021. This is driven
on the strength of esports and new hit international games entering the Southeast Asia market.
The number of PC online and mobile gamers in Southeast Asia is projected to rise from 300 million by the end of 2017 to more than 400 million by 2021.
According to Newzoo reporting in 2017, another game industry research firm, average annual spend per paying gamer doubled from USD37.31/paying gamer
versus USD80.31/paying gamer within three years. It further reported that in 2017, 14 million Malaysians spent a total of RM587M to purchase games.

Network Computing Job Demand in Malaysia

Few jobs in the IT sector can match the attractiveness of a career in network engineering. Apart from being highly-paid, good network engineers are constantly sought after by the leading IT companies in Malaysia because of their specialisations. Network engineers who strive to be at the top of their game must undertake a certified course in networking from a recognised institution or organisation such as the MCP (Microsoft Certified Professional), MCSE (Microsoft Certified System Engineer) or CCNA (Cisco Certified Network Associate).

Animation and Multimedia Designers Job Demand in Malaysia

The Malaysian animation industry was worth RM567.86 million ($187.7 million) and employed over 3,000 people in 2016, according to the Malaysia Digital Economy Corporation (MDEC) — the government-sponsored agency central to the nation’s digital content success.It reports there are now over 100 homegrown studios that have produced more than 20 original IPs and seen their work travel to 120+ countries, with an export value of RM132 million (over $32.2 million).
Malaysia’s digital content market has grown substantially over the years. Here are the end-of-the-year figures for 2018.

Mobile Computing Job Demand in Malaysia

As digital, mobile and e-commerce-related companies expand their businesses, there will be an increase in the number of employers recruiting mobile engineers and software developers.

540,000 Jobs in Digital Talent Required by 2020 in Malaysia

Citing a recent Digital Talent Report commissioned by Malaysia Digital Economy Corp (MDEC) in 2017, he said Malaysia’s digital talent demand was expected to grow by 15% annually, that would require more than 540,000 jobs by 2020.
Digital talent is already in high demand at present and looks to grow even more in years to come. The World Economic Forum estimates that while 75 million existing roles may decline by 2022, it was also projected that 133 million new roles will emerge as smart technologies disrupt most if not all industries.
He noted that these emerging roles were related to data science, artificial intelligence (AI), software development, digital transformation and cybersecurity.
The Communications and Multimedia Ministry understands the pressing need to future-proof Malaysia’s digital talent and is addressing the digital talent agenda via MDEC, which has been at the forefront of tech talent development and nurturing for several years now.
He pointed out a great example of success at the school level, the MyDigitalMaker movement, which is slowly transforming Malaysian students from digital users to producers in the digital economy via digital maker skills such as coding, application development, 3D printing, robotics, embedded programming and data analytics.
To date, more than 700,000 primary and secondary school students have already been impacted by digital maker activities across the nation, the Minister noted.
Another effort by his ministry is at the tertiary level with the Premier Digital Tech Institution (PDTI) initiative, with the objective to address the huge demand for industry-ready Computer Science graduates by engaging closely with a select group of institutes of higher learning together with relevant industry partners to supply top quality graduates for the digital industry.
Over the course of only one year, there has been a 33% increase in intake for Computer Science and information technology courses for the PDTIs, and an increase in the employability rate of the PDTIs.
The Minister stated that the ministry was working with industry partners to address other fast-growing tech careers such as in cybersecurity, data science, AI, Internet of Things, digital marketing and creative multimedia.
To meet the fast-growing demands of these industries, Malaysia would need about 20,000 data professionals to serve the needs adequately, he said, adding that a recent survey showed that starting salaries for data professionals ranged from RM50,000–90,000 per annum depending on academic qualifications and technical competencies.