S M Tamim Hossain Rimon- Master of Business Administration
- Student at Qatar University
S M Tamim Hossain Rimon
- Master of Business Administration
- Student at Qatar University
About
13
Publications
1,263
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Citations
Introduction
I am a dedicated business researcher passionate about exploring innovative strategies, market trends, and organizational dynamics to address real-world business challenges. My primary interests lie in sustainability, artificial intelligence, data analytics, business system analytics, and leadership development. I enjoy delving into data-driven insights and case studies to understand better how businesses can optimize their operations.
Current institution
Additional affiliations
Westcliff University
Position
- Graduate Student
Education
February 2018 - June 2022
Publications
Publications (13)
Artificial Intelligence (AI) is transforming business management by redefining decision-making, operational efficiency, and strategic leadership. As organizations worldwide embrace AI-driven technologies, the corporate landscape is undergoing a profound shift characterized by automation, data-driven insights, and enhanced productivity. This researc...
Healthcare industry is witnessing a significant transformation with the development of machine learning (ML) and machine intelligence. Such technologies bring about improved efficiency, enhance clinical decision support, increase efficiency in the use of resources and promote value-based care. The paper assesses the firm-specific effects of ML tran...
The article analyzes the effects of artificial intelligence (AI) and quantum computing on improving the business supply chain systems in the aerospace and education industries. With the increase of technology within various sectors, it becomes evident that AI and Quantum Computing are complementing logistics advances to bring down the cost of opera...
In recent years, Artificial Intelligence (AI) has emerged as a transformative force in business analytics, enabling organizations to make more informed, data-driven strategic decisions. This paper explores the integration of AI in business analytics and its impact on enhancing operational efficiency, gaining market insights, and securing a competit...
Integrating Artificial Intelligence (AI) with Business Intelligence (BI) systems is revolutionizing the ways of governance in smart cities through data management, real-time analytics, and forecasting. These systems improve urban planning, resource allocation, and utilization, as well as, people and asset protection, and enhance transparency and re...
Clean water is a basic human need and necessary for environmental sustainability, particularly in rural areas with limited supplies of water where basic methods for monitoring water quality are seriously impeded. Combining explainable artificial intelligence (XAI) and large language models (LLMs) with remote sensing offers a possible solution. In t...
To ensure the stability of power grids, numerous load forecasting methods have continuously evolved. However, due to variations in factors like algorithm generalization capabilities and model complexity, their effectiveness in load forecasting can differ.
This paper reviews advancements in short-term power load forecasting over past years, providi...
As one of the most disruptive forces in BI, AI is rapidly transforming how organizations use data and drive insights for decision points. For instance, companies can use AI technologies like predictive analytics and intelligent automation to get relevant insights, improve decision-making, and improve operations. Predictive analytics use machine lea...
![Fig 3. An overview of ML and energy systems [135]](profile/Asif-Ahamed-8/publication/387872352/figure/fig2/AS:11431281302607701@1736473942981/An-overview-of-ML-and-energy-systems-135_Q320.jpg)
This study aims to explore the use of AI in industrial renewable energy systems, majoring in efficiency, storage, and prognosis of maintenance techniques. The research analyses various renewable power technologies – solar, wind, hydroelectric, and bioenergy- and evaluates the impact of AI on increasing the effectiveness, stability, and profitabilit...
With AI powered predictive maintenance, manufacturing management becomes more efficient and proactive. They are implemented via traditional maintenance methods like reactive and scheduled maintenance, which can be expensive and result in unpredicted equipment failures. Using data driven analysis, machine learning algorithms, and real time monitorin...
Public service institutions, including libraries, hospitals, and government facilities, are at the forefront of the global transition to clean energy. This paper explores how these institutions are
adopting and integrating innovative renewable energy technologies such as solar, wind, and hybrid energy systems to reduce their carbon footprints, enha...
