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The artificial intelligence narrative has shifted. After two years of experimentation, proofs of concept, and carefully controlled pilots, organisations now face a far harder question: how to move AI from the lab into the fabric of the business. For CIOs in Malaysia and Singapore, 2026-2027 marks a defining reckoning. While
For Southeast Asian CIOs, the window to experiment with AI is closing fast. The imperative now is to industrialised intelligence, moving from proof of concept to production-scale agentic systems that deliver tangible business value. Yet, as the “token economy” dictates, success hinges on a foundational element: your data platform. The
For Asia’s CIOs, 2026 signals the dawn of the Agentic Era—where AI shifts from chatbots to autonomous co-workers. Yet the consumer ease with large language models hides stark enterprise realities: compute demands straining power grids, legacy networks choking on unprecedented traffic, and “vibe-hacking” agents undermining traditional trust models. By 2027,
Barry Whyte, principal storage specialist and master inventor at IBM, talks to us about the forgotten technology that is storage, which is core to the continuing development and use of AI in the enterprise.
CIOs across Asia face a brutal budgetary paradox: board-mandated surges in AI and cybersecurity investments clashing directly with flat overall IT expenditure. While regional tech spending is rising—Forrester projects 9.3% growth in Asia Pacific tech spending for 2026, reaching US$874 billion—escalating costs, regulatory fragmentation, and geopolitical risks are eroding real
For Asia-Pacific CIOs, the path to AI ROI lies not in the next model, but in the governance and orchestration layers that make it enterprise-ready. A Gartner survey of 782 infrastructure and operations leaders delivered a stark reality check: only 28% of AI use cases fully meet ROI expectations, while
