AI-assisted virtualization software: Difference between revisions

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== Future prospects ==
As the fields of AI and virtualization continue to evolve, AI-assisted virtualization software is expected to become more advanced and integrated into an even wider range of applications. Future trends may include advanced self-healing systems, integration with quantum computing, and the development of more sophisticated AI models that can autonomously manage increasingly complex virtual environments.<ref>{{Cite journalbook |date=2020 |editor-last=Hemanth |editor-first=Jude |editor2-last=Bhatia |editor2-first=Madhulika |editor3-last=Geman |editor3-first=Oana |title=Data Visualization and Knowledge Engineering |url=http://dx.doi.org/10.1007/978-3-030-25797-2 |journal=Lecture Notes on Data Engineering and Communications Technologies |volume=32 |doi=10.1007/978-3-030-25797-2 |isbn=978-3-030-25796-5 |s2cid=241311770 |issn=2367-4512 |title=Data Visualization and Knowledge Engineering |series=Lecture Notes on Data Engineering and Communications Technologies }}</ref>
 
== See also ==