International Journal of Advance Computational Engineering and Networking (IJACEN)
.
Follow Us On :
current issues
Volume-12,Issue-2  ( Feb, 2024 )
Past issues
  1. Volume-12,Issue-1  ( Jan, 2024 )
  2. Volume-11,Issue-12  ( Dec, 2023 )
  3. Volume-11,Issue-11  ( Nov, 2023 )
  4. Volume-11,Issue-10  ( Oct, 2023 )
  5. Volume-11,Issue-9  ( Sep, 2023 )
  6. Volume-11,Issue-8  ( Aug, 2023 )
  7. Volume-11,Issue-7  ( Jul, 2023 )
  8. Volume-11,Issue-6  ( Jun, 2023 )
  9. Volume-11,Issue-5  ( May, 2023 )
  10. Volume-11,Issue-4  ( Apr, 2023 )

Statistics report
May. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 134
Paper Published : 1558
No. of Authors : 4061
  Journal Paper


Paper Title :
Artificial Intelligence and Machine Learning as Business Tools: A Framework for Diagnosing Value Destruction Potential

Author :Md Nadil Khan, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Nahid Khan, Ashequr Rahman

Article Citation :Md Nadil Khan ,Tanvirahmedshuvo ,Md Risalat Hossain Ontor ,Nahid Khan ,Ashequr Rahman , (2024 ) " Artificial Intelligence and Machine Learning as Business Tools: A Framework for Diagnosing Value Destruction Potential " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 21-26, Volume-12,Issue-2

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

Type : Research paper

Published : Volume-12,Issue-2


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-20529   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 8
| Published on 2024-05-02
   
   
IRAJ Other Journals
IJACEN updates
Paper Submission is open now for upcoming Issue.
The Conference World

JOURNAL SUPPORTED BY