AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

Healthcare AI is growing up: instead of one massive model, 2026 favors teams of smaller, specialized models that collaborate, ...

IBS Intelligence (IBSi) is the world’s only pure-play Financial Technology focused research, advisory, and fintech news ...

According to Fateh Kaakai, a researcher in trustworthy AI at Thales cortAIx Labs and co-author of the study, the answer is ...

Training gets the hype, but inferencing is where AI actually works — and the choices you make there can make or break ...

The predictive capabilities of AI can be a powerful tool, but the goal of such algorithms is to maximize efficiency, which ...

Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.

Amanpal Dhupar, Head of Retail at Tredence is an experienced retail analytics and AI leader with over a decade of expertise ...

Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...