The infrastructure question every AI strategy must answer

While artificial intelligence (AI) dominates boardroom discussions, many organizations are discovering a critical constraint: their infrastructure is not prepared to support AI at scale. A recent report by Tata Communications and Bloomberg Media Studios found that 77% of global enterprise leaders consider AI a board-level priority, yet only 29% believe their current infrastructure is ready to support it.

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Infrastructure is no longer a backend concern. It’s now a CEO agenda.

Amitabh Sarkar, Tata Communications’ vice-president and head of Asia Pacific and Japan (Enterprise), notes a widening gap between AI ambitions and practical readiness. He emphasizes that infrastructure is no longer a mere backend concern but a "CEO agenda." The challenge lies not in a lack of ambition, but in the complexity of the environments where AI must operate. Decades of adding disparate cloud platforms, software applications, cybersecurity tools, and data systems to solve specific business needs have resulted in a fragmented technology landscape that is difficult to manage and scale.

This complexity, Sarkar explains, makes it harder for organizations to gain clear visibility into how data flows across users, applications, data centers, and cloud environments. Without this visibility, governing AI systems, managing risks, and building trust become significant hurdles. Furthermore, the difficulty in provisioning infrastructure, integrating legacy systems, and applying security policies slows down the transition of AI projects from the pilot stage to industrialization, creating a substantial gap between experimentation and implementation.

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Whether you’re provisioning infrastructure, integrating legacy systems or applying security policies, these all take too long.

To address this challenge, Tata Communications offers its 'Digital Fabric' solution. This concept represents a unified layer designed to seamlessly connect networks, cloud environments, applications, and security systems, along with users. This foundational layer is particularly crucial for industries where even minor disruptions can have severe real-world consequences. For instance, in the airline industry, connectivity issues can cascade, affecting everything from passenger check-ins to baggage handling. Tata Communications' Digital Fabric aims to provide the robust, interconnected infrastructure necessary for organizations to confidently scale their AI initiatives.

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That creates a gap between AI experimentation and AI industrialisation.