Upskilling for the Future: Building AI Capabilities in Southeast Asia

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Southeast Asia’s massive workforce – 3rd largest globally – faces a critical upskilling gap, especially with the rise of AI. While AI adoption promises a USD 1 trillion GDP boost by 2030, unlocking this potential requires a future-proof workforce equipped with AI expertise.

Governments and technology providers are joining forces to build strong AI ecosystems, accelerating R&D and nurturing homegrown talent. It’s a tight race, but with focused investments, Southeast Asia can bridge the digital gap and turn its AI aspirations into reality.

Read on to find out how countries like Singapore, Thailand, Vietnam, and The Philippines are implementing comprehensive strategies to build AI literacy and expertise among their populations.

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Download ‘Upskilling for the Future: Building AI Capabilities in Southeast Asia’ as a PDF

Big Tech Invests in AI Workforce

Southeast Asia’s tech scene heats up as Big Tech giants scramble for dominance in emerging tech adoption.

Microsoft is partnering with governments, nonprofits, and corporations across Indonesia, Malaysia, the Philippines, Thailand, and Vietnam to equip 2.5M people with AI skills by 2025. Additionally, the organisation will also train 100,000 Filipino women in AI and cybersecurity.

Singapore sets ambitious goal to triple its AI workforce by 2028. To achieve this, AWS will train 5,000 individuals annually in AI skills over the next three years.

NVIDIA has partnered with FPT Software to build an AI factory, while also championing AI education through Vietnamese schools and universities. In Malaysia, they have launched an AI sandbox to nurture 100 AI companies targeting USD 209M by 2030.

Singapore Aims to be a Global AI Hub

Singapore is doubling down on upskilling, global leadership, and building an AI-ready nation.

Singapore has launched its second National AI Strategy (NAIS 2.0)  to solidify its global AI leadership. The aim is to triple the AI talent pool to 15,000, establish AI Centres of Excellence, and accelerate public sector AI adoption. The strategy focuses on developing AI “peaks of excellence” and empowering people and businesses to use AI confidently.

In keeping with this vision, the country’s 2024 budget is set to train workers who are over 40 on in-demand skills to prepare the workforce for AI. The country will also invest USD 27M to build AI expertise, by offering 100 AI scholarships for students and attracting experts from all over the globe to collaborate with the country.

Thailand Aims for AI Independence

Thailand’s ‘Ignite Thailand’ 2030 vision focuses on  boosting innovation, R&D, and the tech workforce.

Thailand is launching the second phase of its National AI Strategy, with a USD 42M budget to develop an AI workforce and create a Thai Large Language Model (ThaiLLM). The plan aims to train 30,000 workers in sectors like tourism and finance, reducing reliance on foreign AI.

The Thai government is partnering with Microsoft to build a new data centre in Thailand, offering AI training for over 100,000 individuals and supporting the growing developer community.

Building a Digital Vietnam

Vietnam focuses on AI education, policy, and empowering women in tech.

Vietnam’s National Digital Transformation Programme aims to create a digital society by 2030, focusing on integrating AI into education and workforce training. It supports AI research through universities and looks to address challenges like addressing skill gaps, building digital infrastructure, and establishing comprehensive policies.

The Vietnamese government and UNDP launched Empower Her Tech, a digital skills initiative for female entrepreneurs, offering 10 online sessions on GenAI and no-code website creation tools.

The Philippines Gears Up for AI

The country focuses on investment, public-private partnerships, and building a tech-ready workforce.

With its strong STEM education and programming skills, the Philippines is well-positioned for an AI-driven market, allocating USD 30M for AI research and development.

The Philippine government is partnering with entities like IBPAP, Google, AWS, and Microsoft to train thousands in AI skills by 2025, offering both training and hands-on experience with cutting-edge technologies.

The strategy also funds AI research projects and partners with universities to expand AI education. Companies like KMC Teams will help establish and manage offshore AI teams, providing infrastructure and support.

AI Research and Reports
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Anticipating Tech Advances and Disruptions​: Strategic Guidance for Technology Leaders

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2024 will be another crucial year for tech leaders – through the continuing economic uncertainties, they will have to embrace transformative technologies and keep an eye on market disruptors such as infrastructure providers and AI startups. Ecosystm analysts outline the key considerations for leaders shaping their organisations’ tech landscape in 2024.​

Navigating Market Dynamics

Market Trends that will impact organisations' tech investments and roadmap in 2024 - Sash Mukherjee

Continuing Economic Uncertainties​. Organisations will focus on ongoing projects and consider expanding initiatives in the latter part of the year.​

Popularity of Generative AI​. This will be the time to go beyond the novelty factor and assess practical business outcomes, allied costs, and change management.​

Infrastructure Market Disruption​. Keeping an eye out for advancements and disruptions in the market (likely to originate from the semiconductor sector)​ will define vendor conversations.

Need for New Tech Skills​. Generative AI will influence multiple tech roles, including AIOps and IT Architecture. Retaining talent will depend on upskilling and reskilling. ​

Increased Focus on Governance​. Tech vendors are guide tech leaders on how to implement safeguards for data usage, sharing, and cybersecurity.​

5 Key Considerations for Tech Leaders​

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Click here to download ‘Anticipating ​ Tech Advances and Disruptions​: Strategic Guidance for Technology Leaders’ as a PDF.

#1 Accelerate and Adapt: Streamline IT with a DevOps Culture 

Over the next 12-18 months, advancements in AI, machine learning, automation, and cloud-native technologies will be vital in leveraging scalability and efficiency. Modernisation is imperative to boost responsiveness, efficiency, and competitiveness in today’s dynamic business landscape.​

The continued pace of disruption demands that organisations modernise their applications portfolios with agility and purpose. Legacy systems constrained by technical debt drag down velocity, impairing the ability to deliver new innovative offerings and experiences customers have grown to expect. ​

Prioritising modernisation initiatives that align with key value drivers is critical. Technology leaders should empower development teams to move beyond outdated constraints and swiftly deploy enhanced applications, microservices, and platforms. ​

Accelerate and Adapt: Streamline IT with a DevOps Culture - Clay Miller

#2 Empowering Tomorrow: Spring Clean Your Tech Legacy for New Leaders

Modernising legacy systems is a strategic and inter-generational shift that goes beyond simple technical upgrades. It requires transformation through the process of decomposing and replatforming systems – developed by previous generations – into contemporary services and signifies a fundamental realignment of your business with the evolving digital landscape of the 21st century.​

The essence of this modernisation effort is multifaceted. It not only facilitates the integration of advanced technologies but also significantly enhances business agility and drives innovation. It is an approach that prepares your organisation for impending skill gaps, particularly as the older workforce begins to retire over the next decade. Additionally, it provides a valuable opportunity to thoroughly document, reevaluate, and improve business processes. This ensures that operations are not only efficient but also aligned with current market demands, contemporary regulatory standards, and the changing expectations of customers.​

Empowering Tomorrow: Spring Clean Your Tech Legacy for New Leaders - Peter Carr

#3 Employee Retention: Consider the Strategic Role of Skills Acquisition

The agile, resilient organisation needs to be able to respond at pace to any threat or opportunity it faces. Some of this ability to respond will be related to technology platforms and architectures, but it will be the skills of employees that will dictate the pace of reform. While employee attrition rates will continue to decline in 2024 – but it will be driven by skills acquisition, not location of work.  ​

Organisations who offer ongoing staff training – recognising that their business needs new skills to become a 21st century organisation – are the ones who will see increasing rates of employee retention and happier employees. They will also be the ones who offer better customer experiences, driven by motivated employees who are committed to their personal success, knowing that the organisation values their performance and achievements. ​

Employee Retention: Consider the Strategic Role of Skills Acquisition - Tim Sheedy

#4 Next-Gen IT Operations: Explore Gen AI for Incident Avoidance and Predictive Analysis

The integration of Generative AI in IT Operations signifies a transformative shift from the automation of basic tasks, to advanced functions like incident avoidance and predictive analysis. Initially automating routine tasks, Generative AI has evolved to proactively avoiding incidents by analysing historical data and current metrics. This shift from proactive to reactive management will be crucial for maintaining uninterrupted business operations and enhancing application reliability. ​

Predictive analysis provides insight into system performance and user interaction patterns, empowering IT teams to optimise applications pre-emptively, enhancing efficiency and user experience. This also helps organisations meet sustainability goals through accurate capacity planning and resource allocation, also ensuring effective scaling of business applications to meet demands. ​

Next-Gen IT Operations: Explore Gen AI for Incident Avoidance and Predictive Analysis - Richard Wilkins

#5 Expanding Possibilities: Incorporate AI Startups into Your Portfolio

While many of the AI startups have been around for over five years, this will be the year they come into your consciousness and emerge as legitimate solutions providers to your organisation. And it comes at a difficult time for you! ​

Most tech leaders are looking to reduce technical debt – looking to consolidate their suppliers and simplify their tech architecture. Considering AI startups will mean a shift back to more rather than fewer tech suppliers; a different sourcing strategy; more focus on integration and ongoing management of the solutions; and a more complex tech architecture. ​

To meet business requirements will mean that business cases will need to be watertight – often the value will need to be delivered before a contract has been signed. ​

Expanding Possibilities: Incorporate AI Startups into Your Portfolio - Tim Sheedy
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A 12-Step Plan for Governance of Customer Data​

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In my last Ecosystm Insight, I spoke about the 5 strategies that leading CX leaders follow to stay ahead of the curve. Data is at the core of these CX strategies. But a customer data breach can have an enormous financial and reputational impact on a brand. ​

Here are 12 essential steps to effective governance that will help you unlock the power of customer data. 

  1. Understand data protection​ laws and regulations 
  2. Create a data governance framework
  3. ​Establish data privacy and security policies
  4. Implement data​ minimisation
  5. Ensure data accuracy
  6. Obtain explicit consent
  7. Mask, anonymise and pseudonymise data
  8. Implement strong access controls
  9. Train employees
  10. Conduct risk assessments and audits
  11. Develop a data breach ​response plan
  12. Monitor and ​review

Read on to find out more.

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Download ‘A 12-Step Plan for Governance of Customer Data’​ as a PDF

The Experience Economy
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Salesforce Backs BetterUp

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BetterUp, a mobile-based professional learning and wellness platform that connects employees with career experts recently raised USD 125 million Series D funding backed by Salesforce Ventures, in partnership with ICONIQ Capital, Lightspeed Venture Partners, Threshold Ventures, and Sapphire Ventures among others, bringing the company’s valuation to USD 1.73 billion. Previously in 2012, the company had raised USD 43 million in venture capital funding with an additional Series B funding of USD 30 million in March 2018. The BetterUp platform combines behavioural science, AI, and human interaction to enhance employees’ personal and professional well-being. Recently, the company also revealed two new products – Identify AI, to help organisations determine the right people to invest in and the appropriate coaching needed through the use of AI; and Coaching Cloud for customised training for frontline, professional, and executive employees.

This announcement comes on the back of several wins for BetterUp. To boost employee performance and organisational growth NASA and the Federal Aviation Administration (FAA) partnered with BetterUp to support new ways of coaching and preparing a workforce for change. The world’s largest brewer, AB InBev has partnered with BetterUp to strengthen diversity and inclusion through BetterUp’s coaching platform.

The Need to Improve Employee Experience

The pandemic changed the working arrangement of millions of employees and industries across the globe who are now working remotely or in a hybrid environment.

Ecosystm Principal Advisor, Audrey William says, “Driving better employee experience (EX) should take centre stage this year with enterprises putting employees at the centre of all initiatives. We will see EX platforms get integrated further and deeper into workplace collaboration and HR applications. In the last 12 months, we have seen apps monitoring wellness and sleep, training and coaching, meditation, employee motivation, and so on sit within larger collaboration platforms such as Slack, Zoom, Microsoft, Cisco and others.”

While the primary focus has been on optimising the work environment, it is time for organisations to start focusing on employee well-being. Ecosystm research shows that organisations implemented several measures to empower a remote workforce last year when the pandemic hit. But there was not enough focus on employee well-being (Figure 1).

Organisational measures to enable remote working

William says, “A hybrid work environment may have negative impact on your employees. You may face issues such as longer working hours, employee burnout, lesser social engagements and connection, loneliness – and mental and emotional issues and depression”.

“Organisations that place an emphasis on the employees will see their revenues grow and also see less attrition. The more you invest in your people, the more you will get back in return. It is as simple as that! You can see that now in some organisations where employees are being given more flexibility, employers are not dictating how they should work, diversity and inclusion efforts have become mainstream, and efforts are being made to make employees feel like they belong.”

William adds, “However, Ecosystm research finds that organisations have gone back to putting customers and business growth first – losing focus on their employees. Only 27% of organisations globally say that they have improving employee experience as a key business priority in 2021. It is time for this culture and mindset to change. And solutions such as BetterUp can make a difference.”


Transform and be better prepared for future disruption, and the ever-changing competitive environment and customer, employee or partner demands in 2021. Download Ecosystm Predicts: The top 5 Future of Work Trends For 2021.

Ecosystm Predicts: The Top 5 FUTURE OF WORK Trends for 2021
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