46% of Teams Have Shipped AI Code That Later Failed in Production, Finds Survey
This survey reveals a high rate of AI code failures in production, underscoring risks in AI deployment and the need for better quality assurance and governance.
This survey reveals a high rate of AI code failures in production, underscoring risks in AI deployment and the need for better quality assurance and governance.
Auto-scored: Setback or minor misuse in AI deployment with no mitigation presented.