Data-Driven Future: A Review of Technologies and Applications in the Era of Industry 5.0

Idowu Mosaku; Opeyemi Ajewole; Seun Adegoke; Amin Hosseinian Far

doi:10.1201/9781003540373-8

Data-Driven Future: A Review of Technologies and Applications in the Era of Industry 5.0

Idowu Mosaku
, Opeyemi Ajewole
, Seun Adegoke
, Amin Hosseinian Far

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

In the context of Industry 5.0, the integration of advanced technologies is driving the evolution of data-driven future. This chapter examines key technologies such as big data analytics, artificial intelligence (AI), Internet of Things (IoT), deep learning, and Digital Twins, all of which are leading to the transformation towards a more intelligent and interconnected world. The chapter opens with a brief overview of Industry 5.0 and reviews how these technologies contribute to this industrial revolution. Applications of data analytics and AI across selected sectors, namely healthcare, supply chain management, automotive, and environmental management, are then discussed. The chapter highlights how AI enhances decision-making, improves efficiency, and supports sustainability efforts. Additionally, a discussion on the emerging potential of Generative AI is included, followed by a brief look at the challenges it presents.

Original language	English
Title of host publication	Symbiotic Intelligence
Subtitle of host publication	Advancing Forecasting Through Human-AI Collaboration
Editors	Hamid Jahankhani, Gordon Bowen, Nitsa J. Herzog, David J. Herzog
Place of Publication	Boca Raton
Publisher	Taylor & Francis Group
Chapter	8
Edition	1
ISBN (Electronic)	9781003540373
DOIs	https://doi.org/10.1201/9781003540373-8
Publication status	Published - 25 Nov 2025

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Mosaku, I., Ajewole, O., Adegoke, S., & Hosseinian Far, A. (2025). Data-Driven Future: A Review of Technologies and Applications in the Era of Industry 5.0. In H. Jahankhani, G. Bowen, N. J. Herzog, & D. J. Herzog (Eds.), Symbiotic Intelligence: Advancing Forecasting Through Human-AI Collaboration (1 ed.). Taylor & Francis Group. https://doi.org/10.1201/9781003540373-8

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abstract = "In the context of Industry 5.0, the integration of advanced technologies is driving the evolution of data-driven future. This chapter examines key technologies such as big data analytics, artificial intelligence (AI), Internet of Things (IoT), deep learning, and Digital Twins, all of which are leading to the transformation towards a more intelligent and interconnected world. The chapter opens with a brief overview of Industry 5.0 and reviews how these technologies contribute to this industrial revolution. Applications of data analytics and AI across selected sectors, namely healthcare, supply chain management, automotive, and environmental management, are then discussed. The chapter highlights how AI enhances decision-making, improves efficiency, and supports sustainability efforts. Additionally, a discussion on the emerging potential of Generative AI is included, followed by a brief look at the challenges it presents.",

author = "Idowu Mosaku and Opeyemi Ajewole and Seun Adegoke and \{Hosseinian Far\}, Amin",

note = "{\textcopyright} 2025 Informa UK Limited. This is the accepted manuscript version of a book chapter which has been published in final form at https://doi.org/10.1201/9781003540373-8",

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Data-Driven Future: A Review of Technologies and Applications in the Era of Industry 5.0. / Mosaku, Idowu; Ajewole, Opeyemi; Adegoke, Seun et al.
Symbiotic Intelligence: Advancing Forecasting Through Human-AI Collaboration. ed. / Hamid Jahankhani; Gordon Bowen; Nitsa J. Herzog; David J. Herzog. 1. ed. Boca Raton: Taylor & Francis Group, 2025.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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ER -

Data-Driven Future: A Review of Technologies and Applications in the Era of Industry 5.0

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