DOIONLINE

DOIONLINE NO - IJACSCC-IRAJ-DOIONLINE-20826

Publish In
International Journal of Advances in Computer Science and Cloud Computing (IJACSCC)-IJACSCC
Journal Home
Volume Issue
Issue
Volume-12,Issue-1  ( May, 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
Pages
32-37
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, EthicalConsiderations, Organizational Readiness, Value Destruction, Business Tools
  View Paper