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Enhancing VMware migration processes with agentic AI

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Enhancing VMware migration processes with agentic AI

For many years, a significant number of chief information officers (CIOs) eyed VMware-to-cloud transitions with cautious practicality. The notion of manually mapping dependencies and reworking legacy applications mid-process was not an appealing, low-effort option for enterprise IT teams.

However, the landscape for these choices has undergone a swift and profound shift. In light of recent changes to VMware licensing, organizations are experiencing increased uncertainty regarding the platform’s trajectory. Concurrently, cloud-native innovations are speeding up. As per the CNCF’s 2024 Annual Survey, 89% of organizations have implemented at least a portion of cloud-native methodologies, and the proportion of businesses reporting nearly all development and deployment as cloud-native saw a significant rise from 2023 to 2024 (20% to 24%). Moreover, market research firm IDC indicates that cloud providers have emerged as key strategic allies for generative AI ventures.

This is unfolding against a backdrop of intensifying pressure to innovate more rapidly and cost-effectively to satisfy the requirements of an AI-centric future. As enterprises brace for this certainty, they are encountering computational demands that are challenging, if not prohibitively costly, to sustain solely on-premises.

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