Starting Slowly to Go Fast Deep Dive in the Context of AI Pilot Projects

Scott Nicholas Pletcher

No 8jqzu, OSF Preprints from Center for Open Science

Abstract: For many organizations, artificial intelligence and its subsets of machine learning and deep learning hold great potential for improving efficiency, creating new capabilities and launching new business models. Accordingly, many organizations are attempting to harness these technologies through prototyping and pilot projects. However, many organizations struggle to move past the pilot phase, despite heavy investment in time, data infrastructure and training. In their book Strategic Doing, Morrison et al. (2019) provide a framework to help organizations brainstorm, organize and launch innovation using ten skills of agile leadership. A specific step in the described approach is to Start Slowly to Go Fast. This simple statement holds some deep implications, with many of the principles contained within that philosophy shown to improve innovation outcomes. This paper will examine some of those principles in the context of AI projects.

Date: 2023-09-01
New Economics Papers: this item is included in nep-cmp and nep-ppm
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:8jqzu

DOI: 10.31219/osf.io/8jqzu

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