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Predictive and Prescriptive Analytics for IoT: Unlocking Insights
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Author(s): Ravi Mohan Sharma (Makhanlal Chaturvedi National University of Journalism and Communication, India), Sunita Dwivedi (Makhanlal Chaturvedi National University of Journalism and Communication, India)and Vinod Kumar (Galgotias University, India)
Copyright: 2025
Pages: 18
Source title:
Scalable Modeling and Efficient Management of IoT Applications
Source Author(s)/Editor(s): Dharmendra Singh Rajput (Vellore Institute of Technology, India), Gotam Singh Lalotra (Government Degree College, Basohli, India), Vinod Kumar (Koneru Lakshmaiah Education Foundation, Guntur, India), Pushpendra Kumar (Central University of Jharkhand, India)and Harshita Patel (Vellore Institute of Technology, India)
DOI: 10.4018/979-8-3693-1686-3.ch001
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Abstract
In today's information era, the use of internet of things (IOT) technologies and associated devices has multiplied, and they are now present in every sector. IOT technologies use sensors to sense data from the environment of deployment. Sensors generate a great deal of data that has valuable insights. Therefore, this chapter explores the intersection of predictive and prescriptive analytics within the context of the IoT. The chapter delves into the theoretical foundations, technological advancements, and practical applications of predictive and prescriptive analytics in the IoT domain. By understanding how these analytics techniques work synergistically, organisations can harness the power of IoT data to make informed decisions, optimize operations, and create value.
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