The AIMX Podcast

The real opportunity in AI is not replacing people, but redesigning work around judgment, trust, and human value. AI has been framed as a story of loss: jobs erased, careers disrupted, industries hollowed out by automation. It is a compelling narrative, but an incomplete one.  

This episode, we interview Kaylene Wong, Managing Director of John Ethans International, discussing how AI is not only a technology story but more importantly, a story of business, workforce and leadership. 

Key Highlights

- The Human Skills that are Critical in the Age of AI (00:05:09)

- The Biggest Gap (00:08:38)

- Getting around Fractional Hiring (00:13:22)

- Building Culture in the Fractional Organisation (00:16:46)

- AI as a Multiplier for the Experienced Talent (00:21:39)

- Silver Workforce AI Enablement and Employability (00:24:08)

- The Workforce of the Future (00:30:47)

- Building an AI-ready Workforce (00:35:18)

AI has become a defining force in the digital economy, enabling new efficiencies, innovation, and growth. Yet alongside these opportunities, AI has fundamentally reshaped the cyber threat landscape. As digital connections multiply and systems become more autonomous, organizations and governments face a rapidly expanding attack surface that demands new approaches to cybersecurity. 

At the AIMX Singapore 2025 conference, a panel of experts discussed at length what hyper-accelerated cybersecurity threats - enabled by AI - means for organisations in terms of preparedness and resilience.

The panel discussion was moderated by Rajesh Sandhu from Mastercard, Veronica Tan from Singapore's Cybersecurity Agency, Christopher Chew from Cisco, Dr Jonthan Pan from Singapore's Home Team Science & Technology Agency and Dr Lim Woo Lip from ST Engineering.

Key Highlights

- The New Reality with AI in the Room (00:03:45)

- AI-enabled cyber crimes will be faster than Governments can update policies (00:09:31)

- Fully autonomous cyberattacks will be a thing by 2027 (00:13:46)

- Deepfaking your boss? (00:17:25)

- Black Box systems equals no Trust (00:22:11)

- How do organisations secure their AI deployment? (00:30:41)

- AI agents, autonomy and the cybersecurity landscape (00:33:19)

- Equipping the workforce in a AI-transformed cybersecurity threat environment (00:36:45)

- Guardrails Vs Innovation (00:40:17)

- How do we guard ourselves against AI-enhanced cyberthreats? (00:45:12)

- Crystal ball-gazing: Cybersecurity in 2030 (00:51:57)

Artificial intelligence is rapidly reshaping industries worldwide, but few sectors stand to gain—or lose—as much as finance. Highly regulated, data‑intensive, and dependent on accuracy, the financial sector finds itself at a pivotal moment: AI promises substantial productivity gains, yet demands strong governance, trust, and new capabilities for its workforce.

Associate Professor Ke-Wei Huang, Executive Director of the Asian Institute of Digital Finance, gets on the mic and shares about the AI innovations that are set to transform the Finance sector, and Asia's first AI Executive Master for senior professionals.

Key Highlights

- AI in Finance: How does Adoption look like? (00:06:23)

- How can AI potentially impact the Finance sector? (00:10:40)

- AI could do this in 3 years...or less (00:14:45)

- Trust in the Machine? (00:18:34)

- The Role of the Finance Professional in an AI World (00:27:46)

- AIDF's new Executive Master Programme: How Senior Business Leaders can level up to navigate the Age of AI Disruption (00:32:19)

- Gazing into the Crystal Ball...(00:38:22)

In the global race to push the boundaries of artificial intelligence, robotics, advanced compute, material science, quantum technologies and next generation industrial systems, two regions thousands of miles apart stand out as critical—but strikingly different—powerhouses: Silicon Valley and Singapore.

Our special guests this episode - Ankur Saxena, Investment Director at TDK Ventures and Remi Choong, Principal at elev8 - share their deep insights into how the seemingly divergent models of Silicon Valley and Singapore are both shaping the global deep tech landscape in profound ways. Humbly hosted by Seng from the AIMX Network.

Key Highlights

- What is Deep Tech? (00:04:35)

- The US as Global epicenter of Deep Tech (00:08:28)

- Is Singapore a Deep Tech Hub? (00:10:00)

- Singapore's Support Systems for Deep Tech (00:13:43)

- USA's Support Systems for Deep Tech (00:17:01)

- What are TDK Ventures and elev8 investing in? (00:21:27)

- Valuations: USA vs ROW (00:29:42)

- Expanding to New Markets: USA vs Singapore (00:34:42)

- USA or Singapore: Which is the better market for the AI / Deep Tech Founder? (00:39:42)

AI systems, including agentic and generative AI, are increasingly at the core of innovation within enterprises. However, the path from initial pilot projects to successful production deployments is fraught with challenges.

At AIMX Singapore 2025, Anup Kumar, Head of Client Engineering for IBM Asia Pacific, shared about the adoption of AI by enterprises from pilot stage to adoption.

Key Highlights

- The Use Case is Important, But... (00:03:34)

- Why the Right Tool and Partner Matter (00:07:56)

- Bridging Pilot to Success (00:11:05)

- What to Keep an Eye out for (00:13:12)

In recent years, the advancement of large language models in AI has catalysed a significant transformation in research and development (R&D) across industries. As organisations grapple with rapid technological change and increasing competition, the demand for domain-specific AI agents—tailored to address unique industry challenges—has never been greater.

In a presentation at AIMX Singapore 2025, Guan Dian, Co-Founder of Singapore unicorn PatSnap shares about this shift from generic AI tools towards purpose-built solutions that integrate deep industry knowledge, domain-specific data, and an acute understanding of workflow pain points.

Key Highlights

- Purpose-built, verticalized AI Agents (00:02:02)

- The AI Agent in the R&D Workflow (00:07:25)

- Validation After Ideation (00:13:16)

- Real-world Examples (00:15:21)

This episode is edited from the conference panel discussion held at AIMX Singapore 2025. Industry leaders discussed strategies to foster a collaborative, cross-border AI ecosystem in the region, while examining how governments, businesses, and innovators can drive shared growth, knowledge exchange, and responsible AI adoption.

Special shout out to the session's moderator, Mei May Soo, Chief of AI at Dell Technologies; accompanied by industry panellists Robin Seow, Chief Marketing Officer and Head of Sales & Partnerships at Singtel Digital InfraCo, Stephanie Sy, Founder & Chief Executive Officer of Thinking Machines Data Science, and Tyler Tang, Director of CyberGovernance at softScheck Singapore.

Key Highlights

- What does a regional AI ecosystem actually mean? (00:01:53)

- Cybersecurity considerations across borders (00:10:36)

- Can sovereign AI and cross-border collaboration exist in harmony? (00:22:01)

- Enablers of a cross-border regional AI ecosystem (00:29:42)

In a special episode recorded during AIMX Singapore 2025, we had a lively discussion with Create With's James Devonport, on the AI bubble, GPUs in space, the world we live in and life in general.

Key Highlights

What AI Bubble? (00:02:19)

AI needs Energy (00:05:10)

Where's the Bubble in Asia? (00:06:14)

The Big AI Convergence (00:07:40)

Asia's AI Push (00:09:55)

At AIMX Singapore 2025, we had the chance to sit down with Lightelligence and learned about optical computing, potentially the next breakthrough that will unlock faster and more efficient computing power for AI.

Dr Hui Chen, Fellow and Principal Packaging Engineer at Lightelligence gave us his expert insights how the future of AI is optical computing.

Key Highlights

What is Optical Computing? (00:00:48)

Advantages of Optical Computing (00:01:59)

Creating an Ecosystem (00:04:15)

Optical Computing for the Real World (00:08:17)

We speak to Transwarp in a special episode recorded during our flagship event, AIMX Singapore 2025. Transwarp is one of China's largest enterprise-level Big Data, Cloud and AI infrastructure players, counting banks, industrial companies and other organisations as their customers.

In this episode, we had a chat with Bingzhuo Yan, Senior Solution Architect at Transwarp on bringing Big Data, Cloud and AI together to enable transformative outcomes at the enterprise level.

Key Highlights

The Future of Enterprise-Level Data, Cloud and AI (00:01:11)

Challenges (00:01:56)

How companies can turn Data into an Asset (00:03:31)

Modelling, AI in a Box (00:05:20)

Other Use Cases (00:08:40)