零售企业 AI 治理需引入上下文控制平面
零售 AI 规模化需要统一治理层来管控数据访问与成本，Databricks 给出了控制平面的解法。
零售 AI 正深入门店、采购和日常决策，但瓶颈在于可信上下文——既要利用购买历史等敏感数据，又要控制访问权限。Databricks 提供一个统一治理层，让所有模型、智能体和应用共用同一套可信数据和成本控制，避免各团队各自为政，从而安全地扩展 AI。
正文摘录
How retailers can scale AI across stores, HQ teams, and digital channels while preserving model choice, governing data access, and controlling cost by BJ Sullivan , Sarah Duffy , Tayo Olabumuyi and Logan Boyd Retail AI is reaching further into the business than ever, into stores, merchandising, and daily decision-making, opening up real gains in innovation and efficiency, along with a growing footprint retailers now have to govern. The next bottleneck is trusted context: Retailers hold some of the most sensitive customer data of any industry: purchase history, loyalty behavior, payment activity. That same data is what makes AI genuinely useful for personalization and retention. Retailers need a way to put it to work without losing control of who can access it and how. Databricks gives reta…