Year-end Sale % OFF 
Abstract
AIOps or Artificial Intelligence for IT Operation and MLOps or Machine Learning Operations are two novel trends that are shifting the dynamics of software engineering by bringing automation and optimization into each facet of SW programming cycle. This paper aims to discuss how these new practices are transforming the software engineering lifecycle, influencing delivery cycles and changes in skills demand among professionals. Through a systematic literature review, the paper identifies the tools and practices that are critical for organizations which are operating in the AIOps and MLOps milieu based on industry case studies
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Engineering and Applied Sciences Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
