Unlocking the power of AI requires a trusted enterprise data foundation

As enterprises accelerate their artificial intelligence ambitions, decision-makers are hitting a critical reality: AI models can only be as effective as the underlying data foundations powering them. Many organizations face significant operational hurdles when attempting to scale AI across their operations, often held back by fragmented, legacy, and unstructured information scattered across physical and digital environments.

To bridge the gap between AI investment and measurable business outcomes, leaders must prioritize building trusted, AI-ready data foundations. Unlocking real value requires robust data readiness—backed by strong governance, security, provenance, and seamless accessibility. Bridging physical and digital lifecycle management enables enterprises to establish the operational agility needed to prepare for the future of autonomous AI agents.

This digital transformation relies heavily on resilient, high-density infrastructure. With rapidly expanding digital capabilities, India is uniquely positioned to emerge as a premier global hub for AI and data center infrastructure, providing the critical compute, power, and storage required to scale next-generation workloads safely and sustainably.

"As enterprises accelerate their AI ambitions, one challenge is becoming increasingly clear—AI can only be as powerful as the data and information foundations behind it," said Arvind Subramanian, Executive Vice President, India at Iron Mountain.

To explore how robust data foundations enable enterprise AI at scale, watch the full episode on the NASSCOM Insights website.