AI Is Turning Unified Storage Into A Strategic Decision

2026-05-04 · Source: Featured Blogs - Forrester · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Intermediate, quick

Summary

The rise of agentic, autonomous AI use cases is transforming unified storage from a commodity investment into a strategic decision point for enterprises. AI systems increasingly operate directly on live enterprise data, necessitating storage solutions that support rapid scaling, robust performance, and stringent Governance, Risk, and Compliance (GRC) requirements. This shift is driven by the need for continuous, governed access to enterprise data for production AI inference, aligning with Forrester's OASIS Framework principles: Observable, Accountable, Securable, Intelligible, and Service-driven. Consequently, storage platform decisions are now critical for successful AI architecture, requiring embedded intelligence, policy enforcement, metadata, and automation at the infrastructure foundation to manage AI scaling risks.

Key takeaway

For VPs of Engineering and Data evaluating infrastructure for AI initiatives, your storage choices are now strategic AI decisions. Prioritize storage platforms that offer embedded intelligence, policy enforcement, and robust metadata capabilities to ensure governance and control over live enterprise data, thereby mitigating AI scaling risks and accelerating production deployment. This approach will directly influence your organization's ability to scale AI safely and efficiently.

Key insights

AI's reliance on live enterprise data elevates storage to a strategic component for capability, performance, and GRC.

Principles

• AI inference demands continuous, governed data access.
• Storage decisions directly impact AI scaling speed and safety.

In practice

• Embed intelligence and policy into data infrastructure.
• Evaluate storage based on OASIS Framework capabilities.

Topics

• Unified Storage
• AI Strategy
• Enterprise AI
• Data Governance
• Forrester OASIS Framework

Best for: VP of Engineering/Data, Executive, Director of AI/ML, AI Architect, CTO

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.