Chapter 4 Strategies for driving IoT data to the cloud in digital transformation initiatives

Document Type

Book Chapter

Source of Publication

Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT)

Publication Date

1-1-2025

Abstract

Organizations must realize that digital transformation goes beyond adopting new technologies. It represents a change in how businesses function and create value. The combination of data and cloud computing plays a crucial role in this transformation, requiring a comprehensive strategy that encompasses technology, processes, and people. With the evolving digital landscape, those who effectively leverage the potential of IoT data supported by the strong capabilities of cloud computing will be well positioned to lead, drive innovation, and succeed. Beginning with an overview of the diverse types and significance of IoT data, this chapter explains the transformative capabilities of cloud computing in managing, analyzing, and deriving value from this data. While highlighting the essential role of edge computing, the chapter further underscores the synergistic relationship between decentralized edge systems and centralized cloud architectures, emphasizing data collection distinctions, and data processing orchestration throughout the cloud-to-things continuum. Furthermore, through an exploration of real-world use cases, readers gain insights into the tangible benefits and challenges faced by enterprises pioneering IoT data integration in actual digital transformation scenarios. The chapter provides guidance for organizations seeking to harness the potential of IoT data in their cloud-centric digital transformation endeavors, with a comprehensive review of related background and strategies.

ISBN

9780443222177

Publisher

Elsevier

First Page

129

Last Page

153

Disciplines

Computer Sciences

Keywords

IoT data, cloud computing, digital transformation, edge computing, data integration

Indexed in Scopus

no

Open Access

no

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