AI KPIs and OKRs: Measuring Success and Maximizing Impact

Rohan Sharma

Chapter Chapter 13 in AI and the Boardroom, 2024, pp 151-170 from Springer

Abstract: Abstract How do you determine if your AI investments are truly delivering value? In the fast-paced world of AI, accurately measuring success is crucial for ensuring that initiatives align with business goals and deliver real impact. This chapter delves into the importance of establishing precise metrics and Key Performance Indicators (KPIs) to validate the effectiveness of AI, guide improvements, and justify ongoing investment. We explore the types of metrics essential for evaluating AI success, from efficiency and accuracy to financial impact and customer satisfaction. The chapter also provides insights into selecting the right metrics based on project objectives, ensuring that AI initiatives remain aligned with business priorities. By defining the right measures, organizations can validate ROI, identify areas for enhancement, and maintain strategic alignment. Key takeaway: The right metrics transform AI from a mere experiment to a strategic asset. Are you using the right indicators to track your AI’s success and align it with your broader business vision?

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:979-8-8688-0796-1_13

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DOI: 10.1007/979-8-8688-0796-1_13

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