Exploring the synergy of IIoT, AI, and data analytics in Industry 6.0

Title

Exploring the synergy of IIoT, AI, and data analytics in Industry 6.0

Creator

Vijay Arputharaj J.; William B.N.J.; Haruna A.A.; Prasad D.D.

Description

This chapter delves into the transformative intersection of artificial intelligence (AI), Industrial Internet of Things (IIoT), and data analytics within the context of emerging Industry 6.0. As industries continue to emerge towards greater connectivity and automation, the chapter delivers a comprehensive analysis of the convergence of these cutting-edge technologies in reshaping the industrial landscape. It explores the synergistic relationships among IIoT, AI, and data analytics, examining their collaborative potential to enhance efficiency, productivity, and decision-making processes. The chapter begins by offering an in-depth overview of Industry 6.0, highlighting the technological advancements and paradigm shifts that characterize this era. Subsequently, it dissects the role of IIoT as a pivotal enabler, connecting physical devices and systems to facilitate real-time data exchange. The incorporation of artificial intelligence is explored as a premeditated augmentation, empowering machines to learn, adapt, and optimize operations autonomously. Simultaneously, the chapter investigates the significance of advanced data analytics techniques in extracting actionable insights from big data, fueling informed decision-making and predictive maintenance strategies. Furthermore, the chapter delves into practical applications and case studies showcasing successful implementations of this triad in diverse industrial sectors. 2025 selection and editorial matter, C Kishor Kumar Reddy, Srinath Doss, Lavanya Pamulaparty, Kari Lippert and Ruchi Doshi; individual chapters, the contributors.

Source

Industry 6.0: Technology, Practices, Challenges, and Applications, pp. 1-36.

Date

2024-01-01

Publisher

CRC Press

Coverage

Vijay Arputharaj J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; William B.N.J., TE Connectivity, Switzerland; Haruna A.A., Department of Computer Science, University of Hafr Al Batin, Saudi Arabia; Prasad D.D., Department of ECE, Vishnu Institute of Technology, Andhra Pradesh, India

Rights

Restricted Access

Relation

ISBN: 978-104012803-9; 978-103284745-0

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1201/9781003517993-1

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