The résumé filter, pricing engine, and customer-service assistant are already wired into decisions about people, money, and access. As the EU AI Act moves these systems into a formal high-risk category, enterprises face a basic governance question: when AI influences who is hired, approved, or denied — who actually owns the decision if things go wrong?
LabX is DXC’s bet that enterprise AI only works when it is built for scale, tested in the messiness of real operations and tied to business outcomes from the start.
Banks have more data than ever, but often lack the real-time operating insight that matters. Here is why AI in commercial banking depends on better data, not just better models.
Telemedicine expanded access to care at scale. It also created new attack surfaces for fraud and drug-seeking behaviour. Vasili Razhnou, CEO of MEDvidi, on how AI-driven identity, risk, and prescribing controls are becoming the trust layer that keeps telehealth sustainable.
From Charlotte Pipe’s shop‑floor analytics to Crowe’s governed tax AI, “quietly advanced” enterprises are turning business logic and unstructured data into repeatable decision systems with Alteryx at the core.
Ellis Crosby has never treated prompts as disposable text. For him, a prompt is a function embedded in a production system — one that needs ownership, versioning, testing, and monitoring. Here is what industrial-grade prompt engineering actually requires.
Claude Mythos is identifying thousands of previously unknown vulnerabilities at a speed that outpaces human review, forcing enterprises to rethink how they prioritise, validate and remediate risk.
Professor and Governance Arc architect Dr Lee Schlenker explains how boards can turn Articles 9, 12 and 14 into a portable governance capability that accelerates agentic AI, instead of slowing it down.
