This article from the Workday Engineering blog on Medium details their approach to calculating the unit cost of generative AI features. It highlights the significance of tracking these costs in a multi-tenant environment for informed decision-making. Workday's methodology involves integrating diverse data sources and performing granular cost allocation to determine the expense per customer. The piece also discusses key metrics, challenges, best practices, and anticipated future trends in the economic evaluation of GenAI. Ultimately, it presents a case study in achieving cost visibility for sustainable AI deployment.
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