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    Home»AI Technology News»Improving VMware migration workflows with agentic AI
    AI Technology News

    Improving VMware migration workflows with agentic AI

    Editor Times FeaturedBy Editor Times FeaturedNovember 12, 2025No Comments2 Mins Read
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    For years, many chief info officers (CIOs) checked out VMware-to-cloud migrations with a cautious pragmatism. Manually mapping dependencies and rewriting legacy apps mid-flight was not an attractive, low-lift proposition for enterprise IT groups.

    However the calculus for such selections has modified dramatically in a brief time period. Following current VMware licensing modifications, organizations are seeing higher uncertainty across the platform’s future. On the identical time, cloud-native innovation is accelerating. Based on the CNCF’s 2024 Annual Survey, 89% of organizations have already adopted a minimum of some cloud-native methods, and the share of corporations reporting practically all growth and deployment as cloud-native grew sharply from 2023 to 2024 (20% to 24%). And market analysis agency IDC reports that cloud suppliers have develop into high strategic companions for generative AI initiatives.

    DOWNLOAD THE ARTICLE

    That is all occurring amid escalating stress to innovate sooner and extra cost-effectively to fulfill the calls for of an AI-first future. As enterprises put together for that inevitability, they’re going through compute calls for which are tough, if not prohibitively costly, to take care of completely on-premises.

    Download the full article.

    This content material was produced by Insights, the customized content material arm of MIT Expertise Evaluation. It was not written by MIT Expertise Evaluation’s editorial employees.

    This content material was researched, designed, and written by human writers, editors, analysts, and illustrators. This contains the writing of surveys and assortment of knowledge for surveys. AI instruments which will have been used had been restricted to secondary manufacturing processes that handed thorough human assessment.



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