Three chief executives, running an AI orchestration platform, a digital banking core, and a critical-infrastructure security firm, deal with the same fracture in different languages: are they on the hook for AI outcomes they cannot fully see, govern, or unwind?
Residency tells an enterprise where its data is stored. Sovereignty tells it whether the systems built on that data can still run, recover, and remain compliant when conditions change.
SquareFi Co‑founder Anton Lobintsev on AI‑native engineering, why specification beats headcount, and the human signatures that must never be automated.
Chaos’s machine learning lead shares practical lessons on data pipelines, model selection, and responsible AI for high‑fidelity, IP‑sensitive visualisation.
The co‑creator of Julia and an architect of India’s digital identity and payments rails explains what every government must get right before AI touches critical public systems.
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.
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.
