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SAP以更便宜的替代方案替换昂贵的人工智能模型,目标节省超20亿欧元SAP swaps costly AI models for cheaper alternatives, targets over €2 bln in gains

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SAP以更便宜的替代方案替换昂贵的人工智能模型,目标在未来两年实现超过20亿欧元的效率提升。

SAP的软件被世界上许多最大的公司使用,该公司正在用更便宜的替代方案替换为其产品提供动力的一些昂贵人工智能模型,预计这一举措将在未来两年产生超过20亿欧元的效率提升。

SAP swaps costly AI models for cheaper alternatives, targets over €2 billion in gains By Leo Marchandon Oct 28 - SAP, whose software is used by many of the world's largest companies, is replacing some expensive artificial-intelligence models powering its products with cheaper alternatives, a move it expects will generate more than €2 billion in efficiency gains over the next two years.

首席财务官多米尼克·阿萨姆向路透社表示,该公司已从包括其内部咨询助手在内的产品中移除了一些最昂贵的人工智能模型,并在性能保持强劲的地方用更低成本的替代方案取代了它们。

CFO Dominik Asam told Reuters the company had removed some of the most expensive AI models from products including its internal consulting assistant and replaced them with lower-cost alternatives where performance remained strong.

SAP使用来自OpenAI、Anthropic和Google等提供商的70多个人工智能模型。阿萨姆表示,该公司越来越倾向于选择能够以所需标准完成任务的最便宜模型,同时仍预计随着采用率增长,人工智能的总体支出将上升。

SAP uses more than 70 AI models from providers including OpenAI, Anthropic and Google. Asam said the company increasingly chooses the cheapest model capable of performing a task to the required standard, while still expecting overall spending on AI to rise as adoption grows.

SAP在对路透社问题的答复中表示:“目标是随着规模增长实现健康的利润率,而非人工智能支出的绝对削减。”

"The goal is healthy margins as scale grows, not an absolute reduction in AI expenditure," SAP said in answers to Reuters questions.

与许多人工智能提供商不同,SAP按完成的任务向客户收费,而非按生成回答所使用的底层计算资源收费,这意味着较低的运营成本有助于提高盈利能力。

Unlike many AI providers, SAP charges customers for completed tasks rather than for the underlying computing resources used to generate responses, meaning lower operating costs can help improve profitability.

客户也越来越关注人工智能模型的来源。阿萨姆表示,政府机构和受监管行业的公司越来越多地提出具体要求并根据来源排除模型,而欧洲客户越来越多地要求本地解决方案。

Customers are also paying closer attention to where AI models come from. Asam said government agencies and companies in regulated industries increasingly ask specific requirements and exclude models based on origin, while European customers increasingly demand local solutions.

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