SAP称需AI治理以防止智能体泛滥
sap指出企业ai治理对于保护利润和降低操作风险至关重要。manos raptopoulos警告称，智能体的无序扩张将类似过去的影子it危机，但风险更高，他指出90%与100%准确率之间的差距关乎企业存亡。他强调将向量数据库与遗留系统集成会增加计算成本，并需要确定性控制。
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.