Opinion

With an #AI-driven #SCRM strategy, business owners can identify and assess the impact of risks sooner, reducing disruption-related revenue losses and freight expenses. In addition to controlling costs, they may improve their compliance and agility, granting them a competitive advantage in an oversaturated market. 

Communication is central to any startup in 2025. Whether increasing security through one-time passwords (OTPs), delivering real-time updates, or enabling efficient customer service, timely and effective communication has become the hallmark of a successful startup.

Aligning the C-Suite and team leaders on a data resiliency strategy is an essential derisking initiative ensuring companies are well protected when disaster strikes.

Organizations need to take a blended and multi-layered approach that combines threat intelligence, behavioral AI, detection engineering and semantic #AI to block, detect and respond to more advanced threats and data loss incidents. This holistic human-centric approach alerts on behaviors that are not usually spotted with traditional, content-centric only…

The path to AI-readiness requires thoughtful planning. The best way to effectively manage the #AI workload spread is to take a fit-for-purpose approach that relies on processors and accelerators, with the choice depending on the specific requirements of the tasks and strategic investment.

As both startups and established players collaborate with regional VCs, the widespread adoption of #AIAgents in #fintech will likely redefine how consumers and businesses engage with financial services—highlighting a more inclusive and innovative digital economy across the region.

Singapore's unique position as a smart nation pioneer and technology hub makes it an ideal environment for advancing #AI-powered innovation. Based on our experience, the success of these initiatives depends not just on technological capability, but on creating solutions that genuinely enhance daily life.

As AI gains autonomy, job roles are evolving to support and enhance its learning. Specialists are needed to engineer model prompts and produce curated datasets that can fine-tune models and address unwanted behaviors. Data and AI engineers can bridge the gap between human expertise and machine learning, requiring #AI skills and domain knowledge only…

Continuous vigilance and proactive security measures are key to mitigating AI-driven cyber threats. Businesses that stay ahead of emerging threats and implement comprehensive #CyberSecurity strategies will be better positioned to withstand the challenges of an #AI-driven digital world.

Innovation in the #HealthCare industry is not a choice but a need to generate cost-effective solutions and better patient outcomes. The balance of data analytics and #BusinessIntelligence with due diligence spurs potential areas of discovery, optimizes regular operations, and elevates healthcare quality.