Tata Communications Building the Digital Infrastructure for Enterprise-Scale AI
AI has become a business-critical capability for larger enterprises - but its success now depends on far ore than algorithms alone.
As American enterprises navigate economic uncertainty, sustained cost pressure, and accelerated global expansion into both regulated and emerging markets, AI is moving rapidly from experimentation to execution. The real differentiator is no longer model sophistication, but the strength, resilience and agility of the digital infrastructure that connects data, clouds, applications and users across regions.
For CIOs and technology leaders, the challenged is twofold: enabling faster innovation and AI-driven product development, while maintaining control over cost, security, compliance and performance. Fragmented networks, inconsistent cloud connectivity, and legacy architectures often become hidden constraints - slowing AI training and inference, driving up data movements costs, and limiting the ability to scale AI initiatives globally.
This virtual roundtable brings senior technology leaders together to explore how a modern, intelligent and globally consistent IT infrastructure serves as the foundation for enterprise-scale AI adoption. The discussion will focus on how organizations are strengthening their digital backbone to support AI workloads, ensure regulatory compliance, optimize economics, and deliver resilient performance - turning AI from isolated pilots into sustained impact.
Key Discussion Themes:
The roundtable will be guided by an open, peer-driven discussion across three core areas.
1. Global AI Performance and Infrastructure Design - Participants will explore how network and cloud architectures must evolve to support distributed AI workloads across the US, Asia and regulated markets - without compromising performance, resilience or speed of innovation. The conversation will examine the real-world impact of latency bandwidth constraints, and data sovereignty requirements and AI training and inference.
2. Cloud Strategy, Connectivity and AI Economics - The discussion will examine how cloud architecture and connectivity choices directly affect AI scalability, time-to-value, and cost predictability in global enterprises. Leaders will share approaches to managing data movement and egress costs will scaling AI workloads across regions and providers.
3. Compliance, Governance and AI Readiness - Participants will discuss how CIOs are enabling AI Adoption in regulated and emerging markets while maintaining metrics and signals leaders use to assess whether their global networks are truly "AI-ready".
This invite-only virtual roundtable is for CIOs and senior technology leaders enabling AI at enterprise scale across global, multi-cloud and regulated environments. Participation is limited to support a peer-led discussion focused on candid insight and real-world experience - not presentations or product pitches.
Register your interest to request an invitation.