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Testing AI is not like testing software and most companies haven't figured that out yet
Traditional software testing can't catch AI's unpredictable failures. Here's why humans are non-negotiable.
2026: Beginning the year with an ethics-first strategy
Why founders must embed ethical redlines, reviews, and stopping rules before scaling.
Consent is broken. How do we fix it?
The consent process is designed for compliance, not for people, but how do we fix it?
How to take AI from pilots to deliver real business value
How can organizations turn experimental AI pilots into full-scale programs with real business value?
How rising complexity is reshaping the role of data center services
The capacity to install, integrate, monitor and maintain hardware directly influences long-term performance.
3 risks hindering enterprise-ready AI — and how low-code workflows help
Agentic AI promises autonomy, but enterprises need transparency, control, and governance to trust it.
A practical blueprint for scaling AI in financial services
Financial institutions must shift their focus if they want to see true value from AI.
How CIOs can shift from patch and pray to risk-based software change
Forced updates and “patch and pray” thinking are creating avoidable risk in life-critical systems. Vendor business models, built on upgrade pressure and baked-in greed, are driving that risk.
