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== Challenges ==
Despite its many advantages, AI-assisted virtualization software is not without its challenges. Implementing this type of software requires a high degree of technological sophistication and can incur significant costs. There are also concerns about the risks associated with AI, such as algorithmic bias and security vulnerabilities. Additionally, there are issues related to governance, ethics, and regulations of AI technologies.<ref>{{Cite book |last1=Rawat |first1=Danda B. |title=Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation |last2=Awasthi |first2=Lalit K |last3=Balas |first3=Valentina Emilia |last4=Kumar |first4=Mohit |last5=Samriya |first5=Jitendra Kumar |publisher=Scrivener Publishing LLC |year=2023 |isbn=9781119904885}}</ref>
== See also ==
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