Answers are grounded in this paper and cite their sources.
Industrial artificial intelligence (IAI) is an emerging enabler for the industry to transform toward digitalization and data-driven intelligence. Existing research works of IAI are mostly technology-driven, but technology alone is far from enough to realize the real impact of IAI on the industry. In this article, we go beyond technology and discuss IAI from a more comprehensive perspective in terms of its building blocks, including management, technology, and human. Those building blocks interact with each other and jointly enable IAI adoption in industrial applications. We discuss each of them as well as their synergy, considering various realistic aspects both technical and nontechnical. Our work is unique and has direct impact on the industry to well understand and embrace IAI for successful industry transformation.
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: