e-Book

AI-Driven Cloud Optimisation

Best Practices for the Modern Enterprise

Overview

The convergence of artificial intelligence and Cloud computing represents the most significant technological shift in enterprise infrastructure since the advent of virtualisation. Almost all companies invest in AI, but just 1% believe they are at maturity, revealing a critical gap between ambition and execution that defines the current landscape.

Cloud use cases continue to expand with increasing focus on distributed, hybrid, Cloud-native, and multicloud environments supported by a cross-Cloud framework, making the public Cloud services market achieve a 21.5% growth in 2025. This growth trajectory underscores the urgency for strategic Cloud optimisation frameworks that integrate AI capabilities whilst maintaining operational excellence.

Contemporary data from leading research institutions reveals compelling business imperatives,

• Investment Surge: Worldwide generative AI (GenAI) spending is expected to total $644 billion in 2025, an increase of 76.4% from 2024

• Enterprise Adoption: By 2026, more than 80% of enterprises will have used generative artificial intelligence (GenAI) application programming interfaces (APIs) or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023

• Economic Impact: S&P 500 net margins could increase by 30 basis points through AI-driven productivity enhancements

• Maturity Gap: Whilst 92% of organisations plan to increase AI investments, only 1% consider themselves mature in AI deployment

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