A recent McKinsey research revealed that while long-term Artificial Intelligence (AI) opportunities are pegged at USD 4.4 trillion in terms of potential productivity growth, only one percent of business leaders professed that their organizations had fully integrated AI in their workflows. Yet, there is no doubt or disagreement that AI for data analysis lends tremendous value to almost every aspect of business operations - be it in delivering intelligent automation, predictive analytics, secure transactions, improved productivity, user experience and more.

Since 1995, Taiwan has leveraged technology to shape its national health agenda — and with tremendous success too. First, it was the introduction of B2B (medical institution-to-medical institution, in this case) telemedicine services for improved access to care in remote areas.

A Strategic Imperative for the C-Suite 

AI is the biggest technological disruptor in history. As we look ahead, one thing is clear: sooner or later, everything will be automated. The biggest differentiating factor between businesses shall be their values, ethics, and thus entailed practices. 

86% of Americans rank data privacy as a top concern, and 40% say they don't trust brands to manage their data ethically (Forbes, 2025). In this climate, C-suite leaders face a defining challenge: balancing the promise of AI innovation with the growing demand for transparency. Trust is no longer a soft metric—it’s the engine of growth, brand equity, and regulatory survival.  

A recent global study by the University of Melbourne and KPMG revealed some thought-provoking insights on artificial intelligence (AI). While 66% of people reported regular use of AI, and 83% believed in its benefits, only 46% felt they could trust AI systems.