Scaling AI starts with scaling the cloud. Unlock its full potential by modernizing your foundation and transforming it into the engine that drives AI, innovation, and growth.
of front-runners’ tech budgets are invested in cloud and AI
worldwide end-user spending on public cloud services during 2025
of companies are “extremely confident” they have the right data strategies and core digital capabilities to effectively leverage gen AI.
Cloud is evolving fast — driven by AI + cloud integration. More companies are using cloud platforms to run AI/ML workloads: for predictive analytics, automation, and scalable AI-driven workflows.
At the same time, hybrid-cloud and multi-cloud strategies are becoming mainstream. Organizations mix public, private, and on-premise clouds to avoid vendor lock-in, optimize costs, and manage data/resilience more flexibly.
Another strong trend: edge computing meets cloud — workloads shift where data originates (at the “edge”), reducing latency and enabling real-time processing for IoT, mobile, and distributed applications.
Finally, cloud security and sustainability are rising priorities. Companies are adopting stronger security models (like zero-trust), while cloud providers push “green cloud” initiatives to reduce energy use and environmental impact.
Cloud strategy
Cloud architecture
Cloud migration
Cloud security
Cloud optimization
Cloud governance
Cloud cost management
Cloud operations
Cloud DevOps
Cloud compliance
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