Summary
Cloud strategy is evolving as enterprises move beyond cloud-first adoption to embrace a more balanced, cloud-right approach. This report, 'Cloud-Right in the AI Era: Rebalancing the Cloud Strategy,' explores how organizations are rethinking their use of public, private, and hybrid cloud environments in response to rising costs, performance demands, and governance requirements. It examines the drivers behind cloud repatriation, where workloads are strategically repositioned to optimize for cost efficiency, regulatory compliance, and operational performance. The report details how the integration of AI workloads and the need for data proximity are influencing infrastructure decisions, leading to more dynamic workload placement across edge, sovereign, and traditional cloud platforms. Readers will gain insight into the phased processes enterprises use to execute cloud repatriation, the evolving models for workload placement, and the role of technology partners in supporting hybrid operations. Key questions addressed include: What triggers organizations to reconsider their cloud deployments? How do enterprises determine the optimal environment for each workload? What operating models and governance frameworks are required for effective cloud-right execution? The report also outlines the strategic priorities for CXOs as they institutionalize continuous workload evaluation and align technology with business value. This resource is essential for IT leaders, cloud architects, and decision-makers seeking to optimize their cloud investments and sustain innovation in an AI-driven landscape.
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