AI courses for manufacturing companies. Modules covering quality management documentation, safety compliance, operations optimisation, and supply chain intelligence with AI.
AI courses for professional services firms. Modules for law firms, management consultancies, and accounting practices covering client deliverables, research, and knowledge management.
A guide to digital transformation courses for companies. What they cover, who should attend, how to choose a programme, and how digital transformation connects to AI adoption.
A practical guide to AI certifications for companies. Which certifications matter, how to evaluate them, vendor vs industry vs corporate certifications, and building an AI credentials strategy.
The Bank of Thailand (BOT) released mandatory AI Risk Management Guidelines in September 2025 for all financial service providers. Built on FEAT-aligned principles, they require governance structures, lifecycle controls, and fairness monitoring.
The Philippines National Privacy Commission issued Advisory Guidelines on AI in December 2024, requiring organizations to identify and limit algorithmic bias, prohibit AI washing, and comply with the Data Privacy Act for all AI data processing.
Vietnam's Law on Artificial Intelligence, effective March 2026, is the first standalone binding AI law in Southeast Asia. It introduces risk-based classification, registration requirements, and penalties up to VND 2 billion for non-compliance.
Thailand's PDPA imposes strict data protection requirements on AI systems. With a draft AI law expected in 2026 and new BOT AI guidelines for financial services, companies must prepare for an increasingly regulated environment.
Indonesia's Personal Data Protection Law (UU PDP), fully effective since October 2024, is modeled on GDPR and applies to all AI systems processing personal data. With mandatory AI regulations expected in early 2026, companies must comply now.
Malaysia's PDPA amendments (effective June 2025) introduce mandatory DPO requirements, breach notifications, and data portability. Combined with the new AIGE Guidelines, companies using AI must adapt their data practices.
Singapore's Model AI Governance Framework has evolved through three editions — Traditional AI (2020), Generative AI (2024), and Agentic AI (2026). Together they form the most comprehensive voluntary AI governance framework in Asia.
The Monetary Authority of Singapore (MAS) released AI Risk Management Guidelines in November 2025 for all financial institutions. Built on the FEAT principles, these guidelines establish comprehensive AI governance requirements for banks, insurers, and fintechs.
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