Tata Communications Building the Digital Infrastructure for Enterprise-Scale AI

AI is no longer a experiment. Infrastructure is the differentiator.

Across large American enterprises, AI has rapidly shifted from pilot programs to a business-critical capability. Yet as organisations push AI into production, many are discovering a hard truth: success is no longer driven by models and algorithms alone.

The ability to scale AI - securely, cost-effectively and globally - now depends on the strength, resilience and consistency of underlying digital infrastructure connecting data, clouds, applications and users across regions.

For CIOs, the mandate is clear and complex:

• Accelerate AI-driven innovation and product development. 
• Expand into regulated and emerging markets.
• Maintain control over cost, security, compliance and performance.

Fragmented networks, inconsistent cloud connectivity, and legacy architectures are quickly becoming bottlenecks - slowing AI training and inference, increasing data movement costs, and limiting global scale. 

Discussion Themes:

1. Global AI Performance & Infrastructure Design

How must network and cloud architectures evolve to support distributed AI workloads across the US, Asia and regulated markets - without compromising performance, resilience or speed of innovation? 

Key considerations:

• The impact of latency and bandwidth on AI training and inference.
• Data sovereignty requirements across regions.
• Designing for resilience and consistency at global scale.

2. Cloud Strategy, Connectivity and AI Economic

How do cloud architecture and connectivity decisions directly influence AI scalability, time-to-value and cost predictability?

We'll explore:

• Managing data movement and cloud egress costs.
• Optimising connectivity between clouds, data centres and edge environments.
• Aligning AI ambition with financial and operational reality.

3. Compliance, Governance and AI Readiness

As AI expands into regulated and emerging markets, how are CIOs maintaining compliance while enabling innovation?

We'll explore:

• Building a unified enterprise AI platform across regions.
• Governance models that scale with AI adoption.
• Metrics and indicators that reveal whether global networks are truly "AI-ready".

Join the conversation

If AI is central to your enterprise strategy, the infrastructure behind it cannot be an afterthought. 

Register your interest below to join this executive discussion on building the digital foundation for enterprise-scale AI.