📞 +91-7667918914 | âœ‰ī¸ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 9, SEPTEMBER 2018

A Review on Machine Learning and Artificial Intelligence in Management of Storage

Swapnali Rajaram Pawar

DOI: 10.17148/IJARCCE.2018.795

Abstract: Associations keep running at the speed of their information. While Artificial Intelligence (AI) and Machine Learning (ML) have a proceeding with history of taking care of conventional issues in design acknowledgment, AI and ML methods are quickly finding their place in business examination, where the examples being resolved may be more subtle. The effectiveness of these learning frameworks can characterize an association's upper hand. AI is being utilized or trialed for a scope of social insurance and research purposes, including recognition of sickness, administration of constant conditions, conveyance of wellbeing administrations, and medication revelation. AI can possibly help address vital wellbeing challenges, yet may be restricted by the nature of accessible wellbeing information, and by the powerlessness of AI to show some human attributes.



Keywords: Machine learning, Management of storage, Artificial Intelligence, Storage management in Machine Learning.

How to Cite:

[1] Swapnali Rajaram Pawar, “A Review on Machine Learning and Artificial Intelligence in Management of Storage,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.795