PayNet launches AI talent engine to power the future of Malaysia’s financial sector

by | Apr 25, 2025 | News / Interviews

Payments Network Malaysia (PayNet) has expanded Program Akar, its national talent development initiative, with a new phase focused on artificial intelligence and data science. Designed to future-proof Malaysia’s financial services industry (FSI), the programme continues to build a pipeline of digitally skilled, industry-ready talent through hands-on training, leadership development and real-world exposure.

The programme gives university students practical skills in digital payments, AI and industry, preparing them for real world roles in the financial services sector. The first cohort will comprise 100 participants, starting with 25 students from Multimedia University (MMU) and expanding to 75 students from other local universities later by the end of the year.

The programme equips students with a three-pillar curriculum focused on:

  • Values-Driven Enrichment – Cultivating leadership, integrity and a future-ready mindset
  • Digital Payment Knowledge – Covering the evolution of money, banking systems, digital payments, and transaction security
  • AI & Data Science Mastery – Combining foundational knowledge with critical thinking and real-world applications

The programme connects students to hands-on learning, mentorship, and job placements within Malaysia’s leading financial institutions

Program Akar was first launched in collaboration with AWS in July 2024, focusing on digital payments and cloud technologies. This second instalment, powered by Microsoft as part of its AI for Malaysia’s Future (AIForMYFuture) skilling initiative, expands the programme’s scope into AI and data science, reflecting PayNet’s commitment to staying ahead of industry shifts and continuously building digital talent that meets the evolving needs of Malaysia’s financial ecosystem.

The programme is delivered by implementation partners PEOPLElogy Berhad and Futuresparx Sdn Bhd. It integrates Microsoft’s cutting-edge AI learning pathways to ensure graduates are equipped with real-world, future-ready skills essential for success in an AI-driven workforce.

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May 2025
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