AI Integration with ServiceNow and CMDB: Revolutionizing Industries and Society
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Keywords:
ServiceNow, CMDB, AI Integration , Configuration Management DatabaseAbstract
The integration of Artificial Intelligence (AI) with Configuration Management Database (CMDB) and ServiceNow, a leading IT service management platform, represents a pivotal advancement in organizational efficiency, data-driven decision-making, and transformative innovation. This comprehensive exploration delves into the profound significance of AI integration with CMDB and ServiceNow, elucidating its multifaceted applications across diverse industries and addressing its far-reaching implications for the future. Through a detailed analysis spanning 20,000 words, this article endeavors to provide an exhaustive understanding of this transformative synergy and its potential to reshape the technological landscape, drive organizational excellence, and foster societal progress.
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References
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Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
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Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.