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Abstract
As part of industry 4.0, many organizations feel the need to explore the possibilities artificial intelligence may provide for their businesses. Still, not every organization that implements or makes use of AI benefits in this way let alone extracts value from them. This paper aims to investigate the challenges associated with AI business value creation. Through a comprehensive analysis of the top AI actual use cases across 7 industries and a systematization of the existing literature, we formulated the challenges in deploying and reaping business value from AI at the organization-level. Six challenges of AI at organization-level have emerged from our analysis. They are AI business case, Relative benefits of AI, Top management support, Effective use of data, AI talent, and AI compatibility. Our work aims at contributing to the body of knowledge on AI technology at organization-level, and at guiding practitioners in identifying and overcome various challenges of AI.
Recommended Citation
Alsheibani, Sulaiman Abdallah; Cheung, Yen; Messom, Dr. Chris; and Alhosni, Mazoon, "Winning AI Strategy: Six-Steps to Create Value from Artificial Intelligence" (2020). AMCIS 2020 Proceedings. 1.
https://aisel.aisnet.org/amcis2020/adv_info_systems_research/adv_info_systems_research/1
Winning AI Strategy: Six-Steps to Create Value from Artificial Intelligence
As part of industry 4.0, many organizations feel the need to explore the possibilities artificial intelligence may provide for their businesses. Still, not every organization that implements or makes use of AI benefits in this way let alone extracts value from them. This paper aims to investigate the challenges associated with AI business value creation. Through a comprehensive analysis of the top AI actual use cases across 7 industries and a systematization of the existing literature, we formulated the challenges in deploying and reaping business value from AI at the organization-level. Six challenges of AI at organization-level have emerged from our analysis. They are AI business case, Relative benefits of AI, Top management support, Effective use of data, AI talent, and AI compatibility. Our work aims at contributing to the body of knowledge on AI technology at organization-level, and at guiding practitioners in identifying and overcome various challenges of AI.
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