The Cloud-Native Enterprise

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Authors: Priya Gaur, Gunjan Mohan Sharma, Ali Najeeb
Cited by: 0
References: 4

Abstract

The contemporary global business landscape demands a new operational paradigm centered on agility and intelligence. This chapter argues that the convergence of cloud-native architectures and intelligent automation (IA) is fundamental to this transformation. It deconstructs how cloud-native principles—microservices, containers, and DevOps—provide the essential, scalable foundation for orchestrating IA across complex, global operations. The analysis moves beyond a technical blueprint to explore a practical implementation playbook for transitioning from pilot to enterprise-wide scale. Crucially, the chapter dedicates significant focus to the profound implications of this shift, examining the social impact on the workforce, practical challenges like talent and cost, critical ethical considerations around algorithmic bias, and the evolving role of leadership. Success requires managing this socio-technical transformation to build resilient, responsible, and competitive enterprises.

Fields of Study & Subjects

Software System Performance and Reliability Digital Innovation in Industries Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
235–250
Publication date
13 February 2026
Language
EN
Document type
Book chapter