aiSTROM -- A roadmap for developing a successful AI strategy
Dorien Herremans

TL;DR
The paper introduces aiSTROM, a comprehensive strategic framework to help managers develop successful AI initiatives by addressing project selection, team formation, organizational positioning, technology challenges, and continuous education.
Contribution
It presents a novel, literature-backed framework that guides AI strategy development, covering project prioritization, interdisciplinary team assembly, organizational placement, and ongoing education.
Findings
Framework guides successful AI project implementation.
Addresses challenges like bias, legal issues, and talent scarcity.
Provides KPIs and SWOT analysis for project validation.
Abstract
A total of 34% of AI research and development projects fails or are abandoned, according to a recent survey by Rackspace Technology of 1,870 companies. We propose a new strategic framework, aiSTROM, that empowers managers to create a successful AI strategy based on a thorough literature review. This provides a unique and integrated approach that guides managers and lead developers through the various challenges in the implementation process. In the aiSTROM framework, we start by identifying the top n potential projects (typically 3-5). For each of those, seven areas of focus are thoroughly analysed. These areas include creating a data strategy that takes into account unique cross-departmental machine learning data requirements, security, and legal requirements. aiSTROM then guides managers to think about how to put together an interdisciplinary artificial intelligence (AI)…
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Taxonomy
Methodstravel james
