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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | An empirical examination of the challenges and methods associated with the management of artificial intelligence systems |
| Authors Name: | Ibrahim Ali Mohammed |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_208160
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| Published Paper Id: | IJNRD2303498 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | This research focuses on assessing the intrigues of managing artificial intelligence systems. The expansive adoption of artificial intelligence systems, in various sectors, has ushered in a new era of transformative technological abilities. Nevertheless, the rapid integration of AI has come hand-in-hand with numerous obstacles in efficiently managing these intricate systems. This empirical investigation aims to scrutinize and analyze the multifarious issues faced while managing AI systems and seeks to bring into focus the methodologies and strategies employed to tackle these roadblocks. In today's world, AI systems play pivotal roles across industries like health care and finance by driving innovation and efficacy [1]. Nonetheless, handling these systems involves grappling with concerns related to data privacy, ethical factors, compliance with regulations, and the dynamic traits of AI technologies. This research employs real-world data and case studies to explore the intricacies tied to these challenges along with their consequences. Moreover, this survey dives deeper into the assortment of methods and tactics formulated to navigate the landscape of AI management successfully [2]. These encompass frameworks for governance, evaluation protocols for risks, mechanisms for continuous monitoring, and collaboration models between humans and AI systems. Coupling insights from actual experiences along with best practices this study provides valuable contributions to this evolving field. |
| Keywords: | Artificial intelligence, challenges, AI systems, management, automation |
| Cite Article: | "An empirical examination of the challenges and methods associated with the management of artificial intelligence systems", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e750-e754, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303498.pdf |
| Downloads: | 000118762 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2303498 Registration ID: 208160 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: e750-e754 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303498 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303498 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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