Earlier this year, National University of Singapore 𝗣𝗿𝗲𝘀𝗶𝗱𝗲𝗻𝘁 𝗣𝗿𝗼𝗳 𝗧𝗮𝗻 𝗘𝗻𝗴 𝗖𝗵𝘆𝗲 outlined the University’s vision for AI to become a genuine co-partner across education, research, and operations. At NUS-ISS, this aligns with our ongoing mission to foster 𝘼𝙄 𝙗𝙞𝙡𝙞𝙣𝙜𝙪𝙖𝙡𝙞𝙨𝙢 across our workforce, empowering professionals to bridge domain expertise and AI capabilities.

Yesterday, NUS-ISS staff came together for a one-day workshop, 𝙁𝙧𝙤𝙢 𝘾𝙝𝙖𝙩𝙗𝙤𝙩𝙨 𝙩𝙤 𝘼𝙨𝙨𝙞𝙨𝙩𝙖𝙣𝙩𝙨 𝙩𝙤 𝙃𝙖𝙧𝙣𝙚𝙨𝙨𝙚𝙨: 𝙀𝙫𝙤𝙡𝙪𝙩𝙞𝙤𝙣 𝙤𝙛 𝘼𝙄 𝙞𝙣 2026, led by 𝗗𝗿 𝗟𝗲𝗼𝗻𝗴 𝗠𝘂𝗻 𝗞𝗲𝘄 (Director, Graduate Programmes, NUS-ISS) and 𝗗𝗿 𝗕𝗲𝗿𝗻𝗮𝗿𝗱 𝗟𝗲𝗼𝗻𝗴 (Adjunct Lecturer, NUS-ISS). Covering topics such as prompt engineering, custom AI assistants, AI governance, and responsible AI, the session explored how emerging AI capabilities can be applied across our work.

As AI continues to evolve, creating value will depend not only on the technology itself, but on how effectively people can work alongside it.

A big thank you to our Learning Excellence team for organising this!

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Published by The Business Times and adapted from the "𝙇𝙚𝙣𝙨 𝙤𝙣 𝙎𝙞𝙣𝙜𝙖𝙥𝙤𝙧𝙚" podcast, this piece examines how AI is reshaping jobs, redefining workforce readiness, and why building the right capabilities will be critical for the future. It offers practical perspectives for organisations and professionals preparing for what lies ahead.

𝗠𝗿 𝗩𝗶𝗰𝘁𝗼𝗿 𝗖𝗵𝘂𝗮 (Deputy CEO, NUS-ISS) highlights the growing need for “AI bilinguals”, professionals who combine deep domain expertise with AI capability, a view that aligns closely with NUS‑ISS’ mission to equip the workforce for an AI‑enabled future. His remark, “AI should take the robot out of me,” reinforces the enduring importance of human judgment and accountability.

👉 Read the full article or watch the episode here: https://www.businesstimes.com.sg/startups-tech/technology/biggest-ai-skill-may-not-be-technical

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Many organisations are experimenting with AI. The bigger challenge is translating experimentation into meaningful transformation.

On The Business Times' 𝙇𝙚𝙣𝙨 𝙤𝙣 𝙎𝙞𝙣𝙜𝙖𝙥𝙤𝙧𝙚, 𝗠𝗿 𝗩𝗶𝗰𝘁𝗼𝗿 𝗖𝗵𝘂𝗮 (Deputy CEO, NUS-ISS) joined host 𝗠𝘀 𝗖𝗹𝗮𝗿𝗲𝘀𝘀𝗮 𝗠𝗼𝗻𝘁𝗲𝗶𝗿𝗼 and 𝗠𝗿 𝗗𝗲𝗮𝗻 𝗧𝗼𝗻𝗴 (Managing Director, Head of Group HR, UOB) to discuss how organisations can move beyond AI pilots, rethink workforce capabilities, and prepare for long-term transformation.

As AI becomes embedded across industries and functions, one question becomes increasingly important: What happens when AI becomes part of every role, not just those in technology? Hear Victor and Dean’s perspectives on preparing individuals and organisations for what’s next: https://bit.ly/3RYo1v7

Thank you to The Business Times for having us!

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The challenges that shape the future of education are often visible long before they become urgent.

At the recent 𝗤𝗦 𝗘𝗱𝘂𝗗𝗮𝘁𝗮 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲, 𝗠𝘀 𝗖𝗹𝗮𝗿𝗮 𝗟𝗲𝗲 (Chief, Data Science & Digital Sustainability, 𝗡𝗨𝗦-𝗜𝗦𝗦) explored this idea in her session, 𝘾𝙖𝙣 𝘿𝙖𝙩𝙖 𝘿𝙚𝙩𝙚𝙘𝙩 𝙩𝙝𝙚 𝘽𝙡𝙖𝙘𝙠 𝙀𝙡𝙚𝙥𝙝𝙖𝙣𝙩 𝙞𝙣 𝙀𝙙𝙪𝙘𝙖𝙩𝙞𝙤𝙣?

As AI continues to reshape work and shorten the shelf life of skills, traditional measures such as enrolment, attendance, completion, and satisfaction may no longer tell the full story.

Instead, Clara challenged educators and data professionals to look for early indicators in learner behaviour, engagement, performance, access, and system capacity, enabling better judgement and more timely action.

Her key message was clear. The goal is not more dashboards, but 𝗯𝗲𝘁𝘁𝗲𝗿 𝘀𝗲𝗻𝘀𝗲𝗺𝗮𝗸𝗶𝗻𝗴, 𝗲𝗮𝗿𝗹𝗶𝗲𝗿 𝗶𝗻𝘁𝗲𝗿𝘃𝗲𝗻𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗲𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 about how we develop talent, build employer trust, and prepare learners for the future.

How are you using data today to anticipate change rather than react to it?

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The hardest part of AI isn't building it. It's deciding where, when, and how it should be used.

That was one of the key themes explored during today's 𝗡𝗨𝗦-𝗜𝗦𝗦 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 𝗦𝗲𝗿𝗶𝗲𝘀 on 𝘼𝙄 𝘼𝙜𝙚𝙣𝙩𝙨 𝙒𝙝𝙚𝙣 𝙏𝙝𝙚 𝙎𝙩𝙖𝙠𝙚𝙨 𝘼𝙧𝙚 𝙃𝙞𝙜𝙝: 𝙒𝙝𝙖𝙩 𝙞𝙩 𝙩𝙖𝙠𝙚𝙨 𝙩𝙤 𝙗𝙪𝙞𝙡𝙙 𝘼𝙄 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨 𝙤𝙧𝙜𝙖𝙣𝙞𝙨𝙖𝙩𝙞𝙤𝙣𝙨 𝙘𝙖𝙣 𝙩𝙧𝙪𝙨𝙩. During the session, 𝗠𝗿 𝗦𝗰𝗼𝘁𝘁 𝗦𝗶 (Principal Lecturer & Consultant, Digital Products & Platforms Practice, 𝗡𝗨𝗦-𝗜𝗦𝗦) and 𝗠𝗿 𝗖𝗵𝘂𝗮𝗻𝗴 𝗦𝗵𝗶𝗻 𝗪𝗲𝗲 (CEO, 𝗣𝗮𝗻𝗱𝗮.𝗮𝗶) shared their perspectives on what separates promising AI prototypes from solutions organisations can confidently deploy in the real world.

Beneath the excitement around AI agents, a recurring theme emerged. Getting AI to work is becoming easier. 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗶𝘁 𝗶𝗻𝘁𝗼 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲, 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗹𝗲 𝗮𝗻𝗱 𝗰𝗮𝗽𝗮𝗯𝗹𝗲 𝗼𝗳 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝗿𝗲𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗿𝗲𝗺𝗮𝗶𝗻𝘀 𝘁𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝗿 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲.

Some key ideas surfaced throughout the conversation:
• Build for reliability, not just capability
• Focus on outcomes, not AI for AI's sake
• Accountability cannot be outsourced

As organisations move beyond experimentation, the conversation may need to shift from what AI can do to what organisations can confidently depend on it to do.

Thank you to our speakers for an engaging and insightful discussion, and to everyone who joined us today. We look forward to continuing the conversation at future NUS-ISS Insight Series sessions!

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𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗮𝗻𝗻𝗼𝘁 𝗕𝗲 𝗕𝘂𝗶𝗹𝘁 𝗶𝗻 𝗜𝘀𝗼𝗹𝗮𝘁𝗶𝗼𝗻.

That is why we are excited to announce the formation of the NUS-ISS 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆 𝗣𝗮𝗻𝗲𝗹. Bringing together leaders across data, AI, and digital transformation, the panel will serve as a strategic partner to our Data Science Practice, helping to shape industry-relevant curricula, strengthen applied learning opportunities, and deepen collaboration between NUS-ISS and leading organisations.

We look forward to meaningful partnerships, valuable exchanges of ideas, and shaping new possibilities together with the industry.

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