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The use of AI in virtualization significantly increased in the early 2020s.<ref>{{Cite journal |last1=Haenlein |first1=Michael |last2=Kaplan |first2=Andreas |date=August 2019 |title=A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence |url=http://journals.sagepub.com/doi/10.1177/0008125619864925 |journal=California Management Review |language=en |volume=61 |issue=4 |pages=5–14 |doi=10.1177/0008125619864925 |s2cid=199866730 |issn=0008-1256}}</ref>
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AI-assisted virtualization software uses AI-related technology such as [[machine learning]], [[deep learning]], and [[neural network]]s to attempt to make more accurate predictions and decisions regarding the management of virtual environments. Features include intelligent automation, [[predictive analytics]], and dynamic resource allocation.<ref>{{Cite book |last1=Sharma |first1=Sachin |last2=Nag |first2=Avishek |last3=Cordeiro |first3=Luis |last4=Ayoub |first4=Omran |last5=Tornatore |first5=Massimo |last6=Nekovee |first6=Maziar |title=Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies |chapter=Towards explainable artificial intelligence for network function virtualization |date=2020-11-23 |chapter-url=http://dx.doi.org/10.1145/3386367.3431673 |pages=558–559 |___location=New York, NY, USA |publisher=ACM |doi=10.1145/3386367.3431673|isbn=9781450379489 |s2cid=227154563 }}</ref><ref>{{Cite book |title=Artificial intelligence for autonomous networks |date=2019 |publisher=CRC Press, Taylor & Francis Group |isbn=978-0-8153-5531-1 |editor-last=Gilbert |editor-first=Mazin |series=Chapman & Hall/CRC artificial intelligence and robotics series |___location=Boca Raton London New York}}</ref>
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* Dynamic Resource Allocation: Through the analysis of real-time and historical data, the AI system dynamically assigns resources based on demand and need, optimizing overall system performance and reducing wastage.
AI-assisted virtualization software has been used in cloud computing to optimize the use of resources and reduce costs. In healthcare, these technologies have been used to create virtual patient profiles. They are also used in data centers to improve performance and energy efficiency.<ref>{{Cite book |last=Anwar |first=Mohd. Sadique Shaikh |title=Bigdata and Business Virtualization |year=2018 |isbn=978-6139872022}}</ref> It has also been used in network function virtualization (NFV) to improve virtual network infrastructure.<ref>{{Cite book |last1=Jagannath |first1=Jithin |last2=Ramezanpour |first2=Keyvan |last3=Jagannath |first3=Anu |title=Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning |chapter=Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks |date=2022-05-16 |chapter-url=http://dx.doi.org/10.1145/3522783.3529519 |pages=81–86 |___location=New York, NY, USA |publisher=ACM |doi=10.1145/3522783.3529519|isbn=9781450392778 |s2cid=247957748 }}</ref>
▲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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