DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-12,Issue-2 ( Feb, 2024 ) | |||||||||
Paper Title |
Artificial Intelligence and Machine Learning as Business Tools: A Framework for Diagnosing Value Destruction Potential | |||||||||
Author Name |
Md Nadil Khan, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Nahid Khan, Ashequr Rahman | |||||||||
Affilition |
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Pages |
21-26 | |||||||||
Abstract |
The use of intelligence (AI) and machine learning (ML), in business operations is becoming more common offering efficiency, decision making and innovation. However, there are risks of losing value if these technologies are not implemented and managed properly. This document suggests a way to identify the potential for value loss in AI and ML projects within companies. By considering factors, like data quality, model reliability, ethics and organizational readiness the framework helps evaluate the risk of losing value. By using this approach organizations can. Reduce the risks associated with AI and ML projects to ensure they contribute positively to business goals. The goal of this document is to help businesses understand how AI and ML projects can create or destroy value so they can make decisions while minimizing risks. Keywords - Artificial Intelligence (AI), Machine Learning (ML), Data Quality Assessment, Ethical Considerations, Organizational Readiness, Value Destruction, Business Tools | |||||||||
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