Industrial AI can’t afford to be wrong, says Dassault Systèmes’ Elisa Prisner
Elisa Prisner of Dassault Systèmes contends that as enterprises deploy AI in physical-world operations—manufacturing facilities, aerospace, and healthcare trials—the stakes demand precision beyond what 'usually right' can provide. The software vendor emphasizes that industrial AI failures carry tangible consequences in safety-critical environments. The commentary challenges the prevailing rush to implement AI without adequate reliability assurance in production contexts.
Key points
- Industrial AI faces higher accuracy demands than consumer applications
- Failures in factories, aircraft, and clinical trials have real consequences
- Reliability must be prioritized over rapid deployment
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