Opinion

Cyberthreats aren’t slowing down, and in this environment, by implementing cybersecurity programs, universities help their students resist emerging digital risks, get forward-thinking education, and the skills needed to succeed in all industries. 

The quantum era is not defined by dramatic breakthroughs alone. It is emerging through careful engineering, long-term investment, and collaboration between scientists, engineers, and policy leaders. As with AI, meaningful progress will come from responsible development and practical integration, not spectacle.

Precision sorting enables supply chains to achieve the speed, accuracy and efficiency that today’s markets demand. It reduces errors, cuts delays and supports sustainability by lowering waste and energy use. Businesses utilizing this technology can respond more quickly, operate more efficiently and deliver superior service.

Career health is becoming one of Singapore’s most important competitive determinants. More than employment stability, it reflects a worker’s ability to remain employable, adaptable, and upwardly progressing across a lifetime of technological and economic change. At its core is mobility - the capacity to shift across roles, adopt new tools, and reinvent…

Web3’s growth can no longer be driven by digital engagement alone. In the wake of trust-eroding moments like the FTX collapse, rebuilding credibility requires more than whitepapers and panel discussions – it demands tangible, human connection. For many, real-life experiences are what transform abstract technology into something personal and memorable.

Workforce enablement should not just be a soft skill requirement, but a part of security infrastructure. AI-ready employees lower the odds of a breach, shorten incident response times, strengthen compliance posture, and protect the brand in ways no tool or platform can match.

After years of experimentation, most APAC organizations know the ingredients for scale: dependable streaming foundations, disciplined governance, and integrated platforms. The groundwork is in place. What changes next is how these systems think and act together. In 2026, those that fundamentally re-think their data strategy as strategic engines of…

Selling a company that someone has worked hard to build from scratch isn’t a one-off event. It takes significant preparation and planning to get there. Even founders need to be emotionally ready to let go, but how can they focus on easing that attachment if they’re bombarded with endless tasks to ensure a smooth transition?

The AI industry will keep building bigger models, and those advances will remain important. But for most organizations, the frontier isn’t about scale; it’s about fit.

In this noisy, overcrowded landscape, even seasoned teams risk losing focus — or worse, overspending on overlapping technologies that add cost without strengthening defences. The real question isn’t what’s new, it’s what’s necessary. How can security leaders cut through the noise and make smarter, more strategic investments?