IT Infrastructure VI: IoT, AI, Cloud, and the Intelligent Enterprise

Young Won Park () and Hiroki Kikuchi
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Young Won Park: Saitama University, Graduate School of Humanities & Social Sciences
Hiroki Kikuchi: Saitama University, Graduate School of Humanities & Social Sciences

Chapter 11 in Analog–Digital Transformation Strategy, 2026, pp 247-275 from Springer

Abstract: Abstract This chapter presents IoT, AI, and cloud computing as the infrastructural layers that move manufacturing from information integration toward intelligence integration. Earlier digital systems standardized transactions and coordination, but IoT–AI–cloud infrastructures transform how firms sense reality, interpret signals, and act under uncertainty. IoT digitizes physical phenomena through continuous sensing, AI converts data into predictions and recommendations, and cloud platforms distribute these insights across organizational boundaries. The chapter introduces the idea of the job-driven intelligent enterprise, in which digital technologies support critical operational jobs such as stabilizing flow, preventing quality failures, and sustaining equipment reliability. From an ADX perspective, intelligence is not automated substitution but hybrid augmentation: digital systems extend human sensing and analysis while analog experience remains essential for interpretation and action. The chapter also addresses governance, explainability, and ecosystem-level learning, arguing that competitive advantage increasingly depends on designing intelligence architectures that integrate smart products, connected operations, and human expertise into continuous feedback loops.

Keywords: Internet of Things (IoT); Artificial Intelligence (AI); Cloud computing; Intelligent enterprise; Job-driven architecture (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-92-0937-8_11

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DOI: 10.1007/978-981-92-0937-8_11

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