More Output Isn’t Better Business: Workday's CFO Zane Rowe on AI Measurement
More output isn’t the be-all and end-all of successful AI implementation, according to Zane Rowe, CFO of Workday. In an article by Fortune, Rowe shares his insights on how finance chiefs should truly assess and measure AI.
Rowe emphasizes that the focus should be on the value and impact of AI, not just the volume of work produced. He highlights the importance of understanding the business problems that AI aims to solve and ensuring that the technology delivers tangible benefits.
In the world of AI, it's not about having more data or more models; it's about having the right data and models that drive meaningful results. Rowe suggests that finance chiefs should look for specific, measurable outcomes that align with strategic business goals.
He also advocates for a culture of continuous learning and experimentation, acknowledging that AI is an evolving field. By embracing a trial-and-error approach, organizations can refine their AI strategies and avoid the pitfalls of over-reliance on technology.
Remember that, as AI becomes more integrated into business operations, the focus should remain on leveraging its power to enhance decision-making, improve efficiency, and ultimately drive growth.