TNGlobal Insider
Everyone says the AI went rogue; It did as it was told
Recent autonomous AI security incidents raise a less cinematic concern than machines going rogue. Tenable CTO Vlad Korsunsky argues that the immediate risk comes from AI agents faithfully pursuing objectives while holding access and permissions that organizations have not adequately controlled.
AI pilots not taking off in Asia Pacific? The answer isn’t a bigger model
Many Asia Pacific enterprises have embraced AI experimentation but remain stuck at the pilot stage. Srikanth Seshadri of HPE Asia Pacific examines how data quality, governance, and an AI factory approach can help organizations scale AI more reliably.
Why your business needs ChatGPT security
As employees increasingly use ChatGPT and other generative AI tools at work, businesses need better visibility into shadow AI, sensitive-data exposure, compliance risks, and the controls that can help manage them.
How AI helps sales teams stop losing context between calls and follow-ups
Sales teams often lose useful context between an enquiry, a call and the eventual follow-up. Daniel Tan explains how a simple AI workflow can organize lead information, prepare drafts and make the next action clearer.
Connected intelligence and the future of enterprise events
Enterprise events are becoming more measurable as AI, CRM data and business intelligence systems converge. Will Kataria looks at why connected intelligence, data governance and human expertise will shape the next phase of event technology across APAC.
More AI tools aren’t making retail traders better, here’s why
AI trading tools promise clearer signals and broader access to sophisticated analysis, yet retail traders can easily become overwhelmed by correlated outputs and automation. Paul Bratby looks at how traders can assess signal quality, understand agentic systems, and retain disciplined risk management.
The widening gap between healthcare digitization announcements and actual deployment in Asia
Asia is seeing a wave of digital health announcements, from AI diagnostics to telehealth platforms. Yet the pace of actual deployment remains uneven. Amit Yadav looks at the infrastructure and market signals that can help investors, healthcare operators, and policymakers distinguish experimentation from adoption at scale.
Rethinking AI infrastructure in a power-constrained era
As grid capacity tightens and inference demand grows, enterprise AI leaders must focus on efficiency, hybrid architecture, and extracting greater value from every watt.
AI will not just automate tasks; it will repackage responsibilities
The next stage of workplace AI is not simply faster task completion. It is the redesign of recurring responsibilities around automation, human review, accountability, and follow-through.
Payment dependability is Singapore’s next differentiator
Singapore’s digital payments market is mature. The next competitive test is whether merchants can keep checkout fast, reliable, and trusted when demand peaks.
