Expired50% confidenceFactExact time
According to McKinsey research, less than 1% of the data collected by industrial enterprises is effectively utilized, and data quality issues are one of the main bottlenecks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
4 Iron Rules of Industrial Agent Development: Why AI Deployments in Factories Are Doomed to Fail
bilibiliAI-Agent开发6/12/2026
Related Claims
Unverified业界一般认为财务数据转换的可接受错误率需要控制在万分之一以下70% similarUnverified工业SCADA故障事件数据高度不平衡，故障事件通常占比不足1%，普通分类模型会偏向正常状态导致低召回率68% similarUnverified据行业估算，企业实际分析和利用的视频数据不足总量的5%67% similarUnverified据Gartner统计，企业中仅有不到30%的员工能够有效利用数据做出决策67% similarUnverifiedSingle-period data, lack of horizontal comparison, and differences in reporting standards mean that the 51% zero-payout data should be treated as a signal worth further investigation rather than a definitive judgment of the company.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/48921API
curl https://kongchang.com/api/v1/knowledge/claims/48921MCP
get_claim(id=48921)