The greatest risk in financial AI isn't that machines will make mistakes. It's that institutions will believe they understand those machines when they don't.

Industry analysts have highlighted the rise of generative AI, autonomous analytics, and explainable AI (XAI) as defining ...

AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

Artificial intelligence is increasingly integrated into future communication networks, yet many AI models operate as opaque black boxes, raising concerns ...

How to Control Risk, Stay Compliant, and Scale AI Safely in 2026 Artificial intelligence is no longer experimental. By 2026, AI systems are embedded in customer support, security operations, ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

For millions of gig workers driving for companies such as Uber Eats, DoorDash and Deliveroo, there is no human manager to ...

Arango's multi-model, graph-powered platform provides a unified contextual data layer that supports reasoning, transparency, and scale across AI-driven financial systems, preserving shared business ...

Christiana Voelker is a Healthcare Industry Lead at Avanade, a global provider of digital, cloud, AI and advisory services, industry solutions and design-led experiences across the Microsoft ecosystem ...