SAP稱需AI治理以防止智能體泛濫
sap指出企業ai治理對於保護利潤和降低操作風險至關重要。manos raptopoulos警告稱，智能體的無序擴張將類似過去的影子it危機，但風險更高，他指出90%與100%準確率之間的差距關乎企業存亡。他強調將向量數據庫與遺留系統集成會增加計算成本，並需要確定性控制。
SAP Global President Manos Raptopoulos argues that enterprise AI governance is mandatory to secure profit margins, noting that the gap between 90% and 100% accuracy is existential for business operations. He warns that deploying agentic AI systems without strict lifecycle management mirrors shadow IT crises but carries higher stakes due to autonomous access to sensitive data.
Raptopoulos highlights that grounding agentic models in proprietary data increases computational latency and token costs, making governance a hard engineering constraint rather than just compliance. He identifies three baseline issues for boards: establishing accountability for agent errors, creating audit trails for machine decisions, and defining thresholds for human intervention.