The global XAI market offers opportunities in delivering cloud-based and on-premise solutions for sectors like BFSI, healthcare, and retail. Key trends include growing demand for AI transparency and ...

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...

By Dr. Liji Thomas, MD By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move ...

Crucially, their approach reduces computer resource usage by more than 90% compared with previous techniques. This leap in efficiency lowers the barriers to entry for developing explainable and ...

On May 6, 2010, the stock market saw one of the baffling events in modern finance. In minutes, the Dow Jones Industrial Average plunged 1,000 points before violently ...

You’ve heard the maxim, “Trust, but verify.” That’s a contradiction—if you need to verify something, you don’t truly trust it. And if you can verify it, you probably don’t need trust at all! While ...

AI promises to enhance routing, reduce fraud, and improve straight‑through processing (STP), but it cannot function safely when the underlying payment architecture is opaque. Legacy payment ...

As AI adoption accelerates across lending, Markandey Upadhyay, Chief Data & Analytics Officer, Piramal Finance, explains why governance, risk separation, and decision intelligence, not just speed, ...