Beyond dashboards building data enables Stanford Health Care to deliver actionable, explainable insights for precision medicine workflows.

Artificial intelligence is transforming how financial institutions manage compliance. Tasks like onboarding, screening, and transaction monitoring are increasingly handled by machine learning models ...

Recent industry assessments and academic research indicate that gaps in transparency, evaluation standards, and human ...

AI won’t break the enterprise by failing — it will break trust when leaders can’t explain why it made a decision they’re expected to defend.

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 ...

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 ...

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 ...

As AI systems take on safety-relevant roles, demonstrating compliance and explainability is increasingly a prerequisite for market access, partnerships and scale.

Efrain Ruh is the Chief Technology Officer for EMEA at Digitate, where he leads regional technology strategy with a strong focus on enterprise AI, automation, and large scale operational ...