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Cloud & Infrastructure

FinOps for AI: Why Traditional Cloud Cost Models Are No Longer Working

AI workloads expose the limitations of traditional cloud cost management. From token economics and GPU utilisation to idle accelerators, request caching, and model routing, effective FinOps for AI requires measuring costs based on successful outcomes rather than just infrastructure spend. Learn how to optimise inference efficiency, control rising API costs, and establish a continuous framework that balances cost, performance, and quality.

Aug 3, 20266 min readEditorial Team

Tech & Society

The Lights Stayed On. The Strategy Didn't.

A viral resignation letter from Alibaba's DingTalk shows that China's "involution" problem is really a problem of strategy, and that the AI race is making it worse.

Aug 2, 20269 min readRie Nakada

AI & Machine Learning

World Cup Teams Are in a Race for AI Dominance

FIFA has given every team the same AI agent. That is the beginning of the competition, not the end of it.

Jul 29, 202614 min readEditorial Team

Tech & Society

AI Validation Culture: Why People Are Asking ChatGPT for Life Decisions

Should I quit my job? Should I get divorced? Should I move abroad? A growing number of people are typing these questions into a chat box - and getting an answer back.

Jul 25, 202611 min readEditorial Team

Tech & Society

The Loneliness Paradox: Why AI Companions Could Make Social Isolation Worse

They never tire, they never get busy, and they never disagree unless you ask them to. Maybe that's the problem.

Jun 28, 20261 min readEditorial Team

Tech & Society

When Platforms Become Vectors: Digital Governance Failures, Examination Fraud, and the Systemic Risks of Blunt Regulatory Intervention

This analysis draws on documented reporting of the 2026 NEET-UG re-examination fraud case, comparative examination integrity research, and published platform moderation data.

Jun 22, 202621 min readEditorial Team

AI & Machine Learning

AI is becoming our second brain. What does it mean for mental health?

Shifting responsibility for memory, decisions, and even feelings to an algorithm can ease the burden. But it can also subtly weaken the muscles that allow us to carry it ourselves.

Jun 19, 202615 min readEditorial Team

Cybersecurity

AI-driven cloud detection engineering: turning security telemetry into action

More telemetry hasn’t meant more clarity. AI is starting to change that — but only for teams that fix their data first.

Jun 13, 20264 min readAlexander Müller

AI & Machine Learning

The reason so many AI projects don’t make it to deployment

You can have all the technical prowess in the world, and it still won’t be enough. What really decides if an AI system gets put into production or is left to wither away as a pilot are four structural forces: how you govern it, your team’s design, the quality of the data and whether you have a true product-market fit.

Jun 11, 202619 min readEditorial Team

Tech & Society

When every image is beautiful, beauty ceases to be a matter of competition

Generative models have made visual perfection free. The evidence suggests that's a problem for beauty, not a triumph of it.

Jun 7, 202610 min readEditorial Team

Tech & Society

AI Just Isn’t Right. Right?

How a generation raised on chatbots is redefining truth, trust, and the very idea of looking something up

May 28, 202614 min readEditorial Team

Data & Analytics

What Is Data Analytics? Turning Raw Data Into Real Decisions

Every organisation drowns in data, but only those who can extract meaning from it hold a competitive edge. Here is everything you need to know about the discipline that bridges numbers and action.

May 5, 20266 min readEditorial Team

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