AI Ambitions at Risk as Only 14% of Enterprises Fully Realize Cloud Value, NTT DATA Study Finds
A new NTT DATA study reveals that while AI is driving greater cloud dependence, only a small fraction of enterprises are fully capitalizing on their cloud investments. Legacy systems, security challenges, and complex technology ecosystems are slowing modernization and innovation.
Enterprises Struggle to Unlock Full Cloud Value Amid Rising AI Dependency
As artificial intelligence (AI) becomes central to business strategies, enterprises are increasingly turning to the cloud for the scalability and performance needed to power AI-driven solutions. However, a recent NTT DATA study has found a startling reality: just 14% of enterprises are fully realizing the value of their cloud investments.
AI Accelerates Cloud Adoption, But Value Lags Behind
AI initiatives require vast amounts of data, processing power, and flexibility—needs that the cloud is designed to meet. Despite this, the majority of organizations are not seeing the returns they expect. Many enterprises are investing in cloud technologies to support their AI ambitions, but their migration and modernization efforts are not keeping pace.
Legacy Applications and Data: The Innovation Roadblock
One major obstacle is the prevalence of legacy applications and outdated data architectures. These systems often lack the agility and compatibility needed for modern cloud and AI solutions. As a result, modernization has become a top cloud priority for businesses looking to remove barriers to innovation and maximize their AI potential.
The Complexity Conundrum: Ecosystems and Security
The technology ecosystems that support enterprise cloud and AI initiatives are becoming more intricate. Integrating multiple cloud platforms, third-party services, and legacy infrastructure adds layers of complexity. This raises security concerns and underscores the need for robust protection. The NTT DATA study highlights a renewed focus on fundamental security investments as enterprises seek to safeguard sensitive data and ensure compliance while navigating complex digital landscapes.
Investment Gaps: Cloud Spend Not Aligned with Ambitions
Despite the recognized importance of the cloud for AI-driven growth, the study indicates that investment levels are not always aligned with organizational ambitions. Many enterprises are hesitant to fully commit resources to cloud modernization, often due to uncertain ROI or competing priorities. This cautious approach may ultimately limit the effectiveness and scalability of AI initiatives.
The Path Forward: Modernization and Focus on Fundamentals
For enterprises to fully realize the benefits of cloud and AI, the study suggests a dual focus: accelerating the modernization of legacy systems and investing in foundational security. By doing so, organizations can unlock greater cloud value, support innovation, and position themselves to capitalize on the next wave of AI advancements.
Key Takeaways
- Only 14% of enterprises fully realize cloud value, according to NTT DATA.
- AI ambitions are increasing cloud dependency, but legacy systems and insufficient investment are slowing progress.
- Modernization of applications and data is critical for unlocking innovation.
- Complex technology ecosystems require a renewed focus on security fundamentals.
As AI continues to shape the future of business, aligning cloud strategies with modernization and security priorities will be essential. Enterprises that address these challenges head-on will be better positioned to thrive in the evolving digital landscape.
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