Enterprises investing in AI need to know whether the expected business value justifies the cost, and whether that value is actually being realized once AI is deployed.
But measuring enterprise AI ROI presents some distinct challenges. AI costs can vary with how systems are designed, deployed, and used, while operational improvements in speed and productivity don’t always translate cleanly into financial value.
In this post, we’ll unpack what makes AI ROI difficult to calculate, and explain how enterprises can account for those difficulties when forecasting and measuring returns.
AI ROI is the financial return generated by an AI investment relative to the total cost of deploying and operating it. That return can be realized through cost savings, additional profit from sales, or both.
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本文节选自 Cohere 的《AI ROI measuring return on AI investments》，原文链接：https://cohere.com/blog/ai-roi
