AI

Malaysian technology companies secured more than MYR 450 million ($115.09 million) in potential export opportunities at SusHi Tech Tokyo 2026, driven by growing international demand for artificial intelligence (AI), smart mobility and autonomous technology solutions, according to the Malaysia Digital Economy Corporation (MDEC).

The race to adopt AI is moving faster than the race to govern it. The organizations that close that gap first — not by slowing AI adoption, but by building the visibility and governance to match it — will be the ones that turn AI from a liability into a genuine competitive advantage.

Singapore's investor GIC is backing Anthropic-linked new artificial intelligence (AI)-native enterprise services firm.

Thailand’s Board of Investment (BOI) has approved six major projects worth a combined 958 billion baht ($29 billion), led by a large-scale data infrastructure expansion by TikTok System (Thailand) Co., Ltd., underscoring the country’s growing role as a regional hub for data centers, cloud services and artificial intelligence (AI)-driven digital…

The next phase of CRM AI maturity will come down to execution, especially whether businesses can make AI work reliably in day-to-day operations. Closing that gap requires more than technical capability alone. It requires stronger coordination across systems, journeys, and teams so AI can deliver meaningful outcomes in practice.

The artificial intelligence (AI) adoption in Singapore remains limited and at an early stage, its Ministry of Manpower said in a recent report.

The PC remains the machine you use. The Agent Computer becomes the machine that works for you. The future of computing is not only personal. It is also agentic.

Hong Kong-based Animoca Brands will invest up to $10 million in selected early-stage projects building on its AI agent platform, known as “Minds.”

The technology gap closed faster than most people expected. The talent gap is next. The companies that close it first will have a durable advantage that is harder to replicate than the tools themselves.

The mismatch between the pace of AI-driven disruption and the pace of adoption is now a boardroom issue. Closing it requires a focused AI strategy built around four imperatives: skills, leadership, organizational agility, and innovation practices.