Author: lethuphuong

📌 The Malaysian banking industry is boosting AI adoption to enhance compliance, fraud detection, and risk governance, based on a new industry-developed AI governance framework supported by Bank Negara Malaysia. Malaysia is entering a boom phase of AI application in banking, with 57% of financial institutions in the initial deployment stage and over 40,000 personnel impacted by automation. The role of compliance officers is transforming: they must become “data engineers and data storytellers,” clearly understanding how AI operates to enhance supervision.

📌 Behind the “magic” of AI are millions of anonymous workers who train the AI. Examples include: DataAnnotation specializes in checking AI responses for grammar, accuracy, and creativity; Outlier AI has over 250,000 collaborators in 50 countries, 81% of whom have a university degree. The trend is a decreasing demand for general labor, replaced by personnel with specialized knowledge and high qualifications, as AI becomes increasingly complex. However, AI still heavily relies on cheap labor in developing countries like Kenya, Uganda, and the Philippines, where workers work up to 70 hours/week for wages just over 1 USD/hour, in conditions referred…

📌 The premium financial platform CRED is redefining premium financial services in India by combining generative AI with customer data, delivering a concierge-style experience: personalized, precise, and empathetic. With a 14% improvement in CSAT and 98% accuracy, CRED demonstrates that AI not only boosts productivity but also reinforces trust and sophistication in the digital financial experience.

📌 The Indian Ministry of Education is rolling out 5 free AI courses for students, lecturers, and data science professionals, aiming to help learners enhance their digital skills and practical AI application. The Government of India is democratizing AI education, paving the way for millions of learners to access generative AI and machine learning technology, helping students, teachers, and professionals adapt to the AI-driven job era.

📌 About half of Australians (45.6%) have used generative AI, with 13.6% of users paying for premium AI versions, yet differences in age, education, and geographic location are forming a pronounced “AI gap.” Without policies to enhance digital skills and AI literacy, vulnerable groups may be left behind, becoming susceptible to deepfakes, AI scams, and losing socio-economic opportunities.

📌 The Indian Ministry of Electronics and Information Technology recently announced its National AI Governance Guidelines aimed at fostering “innovation with guardrails” with 7 core principles of AI: trust, human-centricity, responsible innovation, fairness, accountability, interpretability of LLMs, and safety – sustainability – flexibility. India has no immediate plans to enact a separate AI law. The 6 recommendations from the guidelines include expanding AI infrastructure, AI training, building a flexible governance framework and an India-specific AI risk assessment framework, transparency of the AI value chain, and establishing an AI incident monitoring and reporting agency for cybersecurity.

📌 The acceptance or fear of AI stems from the psychology of control, identity, and trust experience. As long as AI remains a “black box,” people will be reserved. Only when the technology becomes transparent, allowing users to ask, understand, and intervene, will AI be seen as a reliable partner, rather than a cold threat.

📌 AI is shaking the very foundation of the PhD degree – the highest symbol of independent thought. When machines can analyze, write, and create, the true value of a doctoral researcher will lie in their ability to think critically, frame problems, and control the AI. The format of thesis defense, live critique, and real-time problem-solving may become more important than the traditional written dissertation.

📌 Shadow AI is the use of AI tools by employees that are not approved or monitored by the IT or security department. 91% of Malaysian businesses use AI, but over a third have Shadow AI — a “dark area” potentially leading to internal data leaks. Leaders should guide instead of prohibit: provide approved, safe, and monitored AI tools so employees don’t have to “sneak use” AI outside the system.

📌 Malaysia officially completed the Nvidia-powered data center in Kulai (Johor state), located within the 600 MW YTL Power Green Data Park. The center is equipped with liquid-cooled Grace Blackwell (GB200) NVL72 GPUs – Nvidia’s leading technology, combined with the Malaysian-developed large language model ILMU, aiming for sovereign AI. The government allocated $1.23 billion USD in the 2026 budget to accelerate AI infrastructure development, linked to the National Industrial Master Plan.