Opinion

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Building trust in Agentic AI

Ultimately, trust is not a feature; it is a foundation. To ensure AI systems are safe, effective, and aligned with human values, we must design for trust at every level—from data and models to decisions and deployments.

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Steering Indonesia’s aviation sector safely through cyber turbulence

Just one cyber incident alone can result in millions lost from flight delays, rebookings, customer churn, and legal costs. Beyond immediate operational disruption, reputational damage can erode hard-won customer trust for years.

With 39% of organizations still paying, Here’s how Asia can break the ransomware cycle

As cyber threats escalate, the region is charting its own path - one defined by collaboration, transparency, and operational readiness. Paying ransom may appear to buy time, but it rarely buys recovery. The stronger and more sustainable approach that one builds upon resilience, the higher the chances of ensuring that even in crisis, organisations remain…

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Designing sovereign, trusted systems for an agentic future

Digital cooperation is no longer optional. It is the condition for sovereignty in an agentic world. Without it, we are left with silos, vendor lock-in, and algorithmic drift. With it, we build a future where intelligence, human or machine, serves the public good.

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7 Security risks to consider when implementing AI in your business in 2026

The real risk from AI does not come from a particular path organizations follow, but from scaling without clear ownership, oversight, and controls. The one thing these risks have in common is their potential for multiplication over time.

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The last-mile fix SME retailers in Southeast Asia need

The last mile is emerging as a defining challenge for SMEs, as they compete to meet rising delivery expectations and an increasingly digital Southeast Asian consumer base. But these pressures also present an opportunity to keep millions of small businesses active in the digital economy. Strengthening the last mile through collective industry action isn’t…

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AI in 2026: From pilots to practical advantage 

If 2025 was the year of experimentation, 2026 will be the year of real adoption – the year AI becomes part of everyday work.

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Balancing intelligence and energy: The strategic shift toward smaller AI models

To survive the next phase of development, organizations must mandate that AI teams start with energy efficiency as a foundational operating principle and consider energy implications at every stage of the AI lifecycle, from data curation to deployment. By applying holistic thinking to IT challenges, developers will be able to refine their techniques and…

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AI strategies fail when storage can’t scale  

Building future-proof AI storage requires more than just speed. It demands a holistic approach that integrates scalable economics, dynamic adaptability, and sustainable operations. Each pillar reinforces the others: sustainable economics ensures data can grow economically at scale; dynamic adaptability enables storage to respond intelligently to…

[Year in review] TNGlobal’s Top 10 contributor’s articles in 2025

In 2025, TNGlobal has published more than 2,300 articles, a growth of 30 percent year-on-year. Our contributors grew from 150 to 240. In case you missed it, here are the Top 10 most-read contributor's articles of 2025 on TNGlobal: