ItemBook Chapter

The convergence of IoT, ML, and big data in self-service innovation

Title
The convergence of IoT, ML, and big data in self-service innovation
Creator
Jain, Rituraj; Upreti, Kamal; Ekatpure, Shubham Rajendra; Gupta, Vipul Kumar; Rai, Ashish Kumar; Gothania, Jaishri
Description
Internet of Things, Machine Learning, and Big Data analytics have been bringing a transformation to self-service technologies with automation, personalization, and operations efficiencies. IoT captures the data in real-time by linked sensors; ML will try to find the patterns, providing the output; and Big Data would analyze large datasets to deliver actionable insights. All three together bring smarter and adaptive systems in retail, health care, and rural service industries. The applications include inventory management, personalized healthcare forecasting, and community kiosks. While these innovations are achieved, interoperability, scalability, and high implementation costs in rural areas are some of the persistent challenges. This can be addressed by taking advantage of edge computing, cloud solutions, and the collaboration of stakeholders. Further innovations like 5G and federated learning will shape self-service technologies in the future to deliver efficient, inclusive, and innovative solutions. 2026, IGI Global Scientific Publishing.
Source
Navigating the Self-Service Revolution With Smart Machines;pp.241-269
Date
01-01-2025
Publisher
IGI Global
Coverage
Jain R., Marwadi University, India; Upreti K., Christ University, India; Ekatpure S.R., Kulicke and Soffa, United States; Gupta V.K., Ramchandra Chandravansi University, Palamu, India; Rai A.K., Ramchandra Chandravansi University, Palamu, India; Gothania J., Muscat, Oman
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833731297-2; 979-833731295-8;
Format
online
Language
English
Type
Book chapter

Citation

Jain, Rituraj; Upreti, Kamal; Ekatpure, Shubham Rajendra; Gupta, Vipul Kumar; Rai, Ashish Kumar; Gothania, Jaishri, “The convergence of IoT, ML, and big data in self-service innovation,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24626.

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