AI and Data Science in Thailand – Are they Booming?

Datamites Team Datamites Team
Dec 24, 2022 Updated: Mar 12, 2024
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AI and Data Science in Thailand – Are they Booming?
AI and Data Science in Thailand – Are they Booming?

The digital economy in Thailand is predicted to contribute 25% of the country’s GDP by 2027, according to the Board of Investment in Thailand. The digital industry is the one that is developing the fastest since the epidemic, and the nation is undertaking major reforms. Thailand realizes it needs to put skills at the top of its priorities and implement upskilling as well as reskilling strategies to strengthen its digital capabilities in the coming decade if it is to realize its “Thailand 4.0” aspirations.

Thailand’s national development strategy is known as “Thailand 4.0,” and it places a high priority on investments in the “five new S curves,” of Biofuels & Biochemicals, Digital Economy, Medical Hub, Automation & Robotics and Aviation & Logistics which are regarded as the priority industries. This program has been implemented in the nation to promote technological improvements. Big data, advances in artificial intelligence, the cloud, software as a service, and smart gadgets like Bluetooth and CCTV are just a few of the technological improvements that the government aims to prioritize under this effort.

According to a ranking of 1,000 cities’ level of innovation prowess, Bangkok is ranked 71st in the world for startups. This demonstrates the existence of metropolitan settings, infrastructure, and other elements that are comparable to their Southeast Asian or Asian counterparts. In the hope of creating an ecosystem where the digital economy may flourish, it is crucial for this approach to encourage entrepreneurship and facilitate outside investments.

Defining Artificial Intelligence

If you’ve ever used Alexa or Siri, driven a self-driving car, interacted with a chatbot, or even just watched something Netflix suggested to you, you’ve encountered artificial intelligence, or AI as it’s more often known.

AI can be defined as ‘computer intelligence’ that mimics cognitive processes, such as learning, reasoning, and self-correction.” With businesses like Tesla, Netflix, Google, and many other tech giants showing a keen interest, AI is as yet the most frequently used in automation, machine learning, and robotics. There is no disputing its overall impact on society. 

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The AI Industry in Thailand

Thailand has always been a frontier in technology adoption. With great internet connectivity and mobile penetration, data centres and cloud technologies are in increased demand throughout the country, and this demand is projected to rise. Artificial intelligence is the key component of Thailand’s digital economy growth strategy. The Digital Government Development Agency (DGA) launched a government AI Center in Thailand with the vision of improving the efficiency and effectiveness of the services provided by government agencies.

The private sector has indeed made substantial utilization of the available AI for profitable commercial endeavors, including demand forecasting, ad suggestions on social media, churn predictions, product recommendations, and many more. Furthermore, not too many people may be aware that we may employ AI and Big Data to support human growth and tackle a variety of challenges that can be difficult to find a solution to otherwise. 

Artificial Intelligence Career in Thailand

Now more than ever, there is a demand for experts in artificial intelligence because it is a technology that is becoming more and more common. The good news is that there are many job options available in the AI area, so you can assume a variety of tasks and responsibilities according to the position, your background, and your hobbies. AI specialists can work in a variety of industries, including finance, healthcare, technology media, marketing, government and military, national security, IoT-enabled systems, agriculture, gaming, and retail.

Having the correct abilities can help you stand out from other applicants and obtain the ideal employment if you’re trying to break into the AI industry as a professional. First and foremost, having strong math skills in both calculus and linear algebra is crucial. Additionally, if you’re interested in AI, you should be familiar with at least one of the following programming languages.

The ability to collaborate well with others, excellent communication, skills in problem-solving, industry knowledge, management and leadership, machine learning, and strong knowledge of applied mathematics and algorithms are some of the ones required in the field of AI. The U.S. Bureau of Labor Statistics anticipates a 13% increase in employment for computer and information technology occupations between 2020 and 2030. 

The list of businesses that hire AI specialists is dominated by IT firms, but a short search on any trustworthy job listing site will return a list of vacancies that cover a wide range of industries. PayPal, Deloitte, Amazon, PwC, Baseball’s top division, R&B Block, IBM, IKEA, and Accenture are some of the top businesses seeking candidates for AI. Big Data Analyst, User Experience (UX) Designer/Developer, Natural Language Processing Engineer, Software Engineer, Data Mining and Analysis Engineer, Machine Learning Engineer, Business Intelligence (BI) Developer, Data Scientist, Robotics Engineer, and Computer Vision Engineer are some examples of the artificial intelligence job roles in Thailand.

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What will be the Salary in the AI Domain in Thailand?

In practically every sector of study, including healthcare, finance, entertainment, and transportation, AI is a significant driving factor behind growth. Artificial intelligence, to put it simply, is the ability of robots to learn like humans do, make decisions about how to solve problems, and finish jobs that would otherwise need many people to put in lengthy workdays.

Given the sophisticated domain that AI is, the salaries for artificial intelligence are dynamic, which means they may change as a result of factors such as inflation, trends, the job market, demand, and other variables. An artificial intelligence engineer in Thailand earns an average salary of THB 971,139 a year as per the Economic Research Institute.

A machine learning and artificial intelligence specialist in Bangkok receives an annual salary of THB 117,000 per annum as per salaryexplorer.com. 

So would you like to take up an AI Career?

The IT industry has been abuzz with talk of artificial intelligence (AI), which is currently the buzzword du jour. Non-technical people have also expressed interest in discovering the fundamentals of artificial intelligence. Why, then, shouldn’t it be the case? Since AI is predicted to eventually live in the future of our lives, it is one of the most promising professions to ever exist. This is the ideal time to enroll in reputable training for artificial intelligence professionals.

DataMites Artificial Intelligence Courses in Thailand is a cutting-edge, online training in artificial intelligence that is intended to prepare graduates for success in this significant, quickly expanding industry. This curriculum has a strong emphasis on building AI-enabled systems while also emphasizing practical applications, ethics, privacy, moral responsibility, and societal benefit. At DataMites the Artificial Intelligence Training in Thailand will be a methodically structured one that will be entirely career oriented with extensive theoretical and practical knowledge through internship opportunities and full-time career guidance. 

In case you are interested in artificial intelligence, it is most likely that you also do so in data science. If your answer is yes, then keep on reading to know more about this exciting talk of the town domain – Data Science.

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Defining Data Science

Data science is the practice of taking raw, unstructured data and turning it into structured, filtering data using scientific techniques and mathematical calculations. To find business insights and transform them into practical solutions, data science employs a wide range of tools and methodologies. 

Now, a data scientist is a professional who focuses on studying and interpreting data and assisting businesses in making wiser decisions and enhancing their operations by utilizing their data science expertise. Most data scientists have extensive training in mathematics, statistics, and computer science. They study huge data sets and look for trends or patterns using this knowledge. Additionally, data scientists can create fresh approaches to gathering and storing data.

What makes Data Science the Talk-of-the-Town?

These days, data is the power of the economy. 463 exabytes of data will be produced per day globally by 2025, according to estimates. Since there are so many prospects for careers in data science, it has become one of the most appealing job profiles. According to the U.S. Bureau of Labor Statistics, through 2026, employment will grow by about 28% as a result of data science abilities. There is a severe lack of competent data scientists and other associated experts, as well as a huge need for skilled data professionals.

Data science is one of the most in-demand occupations nowadays since data science technology is evolving quickly and data are getting more and more useful. Data science professionals are employed by businesses, government agencies, and other organizations to comprehend data, interpret it, and use it for rational decision-making. Data scientists are in great demand, and the future of their careers looks promising. Healthcare, finance, retail, and manufacturing are just a few of the sectors where data scientists with the proper qualifications and expertise might find work. 

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Career Opportunities in Data Science

Overall, data science is a wonderful career choice if you want to have an effect through data-driven decision-making. If you wish to work in the data area, data science is worth exploring as a career choice given its expanding future potential. Furthermore, data science careers typically come with good compensation and intriguing chances for those that seek them.

You must be familiar with data science tools and technologies if you want to create a career in data science in Thailand. Additionally, you must have the skills necessary to analyze data, create data models, and create data analytics programs. You also need to have the ability to communicate clearly, solve problems effectively, and be driven to uncover hidden meaning in data.

Data science professionals will be employed at a higher rate between 2021 and 2031, according to the US Bureau of Labor Statistics. Data science is an expanding field with emerging tools and technologies. The demand for data science specialists appears to have room to grow over the next ten years, ensuring the future of data scientists. One explanation for this is the industry’s constantly expanding opportunities and shifting data landscape. The data science job roles in Thailand include data mining engineer, BI analyst, data architect, data scientist, ML engineer, statistician, data engineer, and data analyst, among others.

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How much would be the salary for a data science professional in Thailand?

According to projections, the global market for data science platforms would increase from USD 4.7 billion in 2020 to USD 79.7 billion in 2030, with a CAGR of 33.6%. The salary packages for data science professionals are reaching their peak in Thailand.

A data scientist’s salary in Thailand is THB 488,335 on average as per payscale.com. This scale varies according to experience and skill level. On average an entry-level data scientist in Thailand earns 405,880 THB a year and an early-career data scientist in Thailand gets an average yearly salary of 4,91,561 THB.

A data scientist’s salary in Bangkok is THB 170,000 a year and TBH 50,000 a month according to glassdoor.com. So are you working to obtain that badge of honor that will enable you to go the extra mile for improved performance and trustworthiness as shown by your portfolio? 

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Why should you be considering data science courses in Thailand?

The data market is actively being borrowed by significant Thai businesses and technological firms. In Thailand, there is a greater demand than supply for data scientists and data analysts. The absence of academic courses and curricula devoted to data science is one of the reasons for this. 

Earning a certificate from DataMites Data Science Course in Thailand is evidence that you have made significant progress in learning the subject. The course is extensive. By working on projects, participating in simulations, and reading case studies, you’ll learn knowledge and abilities that will put you ahead of the pack.

At DataMites are aware of the difficulty in learning data science skills and locating a rewarding position. But thanks to our carefully designed Data Science Programmes in Thailand, we have witnessed numerous experts make the shift to Data Science without any trouble. Follow the above step-by-step approach to develop a career in data science to get started studying the field and finding employment. There are numerous Data Science Courses in Thailand available today to assist you in becoming a Data Scientist. You receive the fundamentals of data science through a well-planned course, and it also aids in directing your learning through real-world projects.

For those who are new to data science, or if you’re pondering how to acquire the abilities you need to successfully navigate the challenges of the digital revolution, DataMites is your place to be. We are the leading provider of data science training in Thailand with a curriculum that is formulated within the framework of the current market trends. And the syllabus for our data science courses is accredited by internationally recognized IABAC.

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End Note

From grocery shopping to using public transportation for commuting, data science and AI have a significant impact on every facet of our lives. Thailand’s information and technology (IT) sector is expanding quickly and drawing more and more international capital. With the inclusion of AI and Data Science into the Thai economy, everything has changed, and for the better.  This widespread use of AI and data science will dramatically rise in the years to come paving way for a promising future.