Impact of IoT on Business Decision-Making: A Predictive Analytics Approach

Author(s)	Zakir Hossain, Sufi Sudruddin Chowdhury, Md. Sohel Rana, Abrar Hossain, MD Habibullah Faisal, SK Ayub Al Wahid, Mohammad Hasnatul Karim
Country	United States
Abstract	To illustrate, the Internet of Things (IoT) has done an excellent job of changing the way business organizational decisions are made by making data available in unimaginable magnitudes. The following paper aims to identify and explain how IoT, with the help of predictive analytics, can improve BI and decision-making. This includes a discussion on several operational and customer cases, consideration of Artificial Intelligence and Machine Learning applications alongside the Internet of Things, and analysis of trends and developments of IoT. These are the core conclusions of IoT importance within real-time business, and related difficulties and tools for the improvement.
Keywords	IoT, Business Decision-Making, Predictive Analytics, AI Integration, Machine Learning, Business Intelligence
Discipline	Other
Published In	Volume 2, Issue 5, September-October 2024
Published On	2024-09-18
Cite This	Impact of IoT on Business Decision-Making: A Predictive Analytics Approach - Zakir Hossain, Sufi Sudruddin Chowdhury, Md. Sohel Rana, Abrar Hossain, MD Habibullah Faisal, SK Ayub Al Wahid, Mohammad Hasnatul Karim - AIJMR Volume 2, Issue 5, September-October 2024. DOI 10.62127/aijmr.2024.v02i05.1092
DOI	https://doi.org/10.62127/aijmr.2024.v02i05.1092
Short DOI	https://doi.org/g2hsq3

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