Leaders Roundtable: Infrastructure Modernisation in the Age of AI and Licensing Disruption

India’s push to strengthen technology infrastructure – from cloud to edge and sovereign systems – is forcing organisations to think about scale, resilience, and control. AI workloads are also raising the bar, with a growing demand for low-latency, high-performance, and secure infrastructure. Overlaying this are VMware licensing changes and lifecycle events, which are forcing organisations to re-examine legacy environments.

Ecosystm research finds that among organisations in India:

• 56% cite infrastructure limitations as a key barrier to AI adoption
• Only 32% feel confident that their current infrastructure can support future, high-demand AI workloads

Together, these forces make infrastructure modernisation unavoidable; and present a clear opportunity to optimise costs, rethink platform choices, and build foundations that scale with AI demand. By optimising where workloads run, improving cost visibility, and using automation, organisations can support evolving AI workloads while preserving performance, resilience, and compliance without overburdening internal teams.

Join this exclusive leaders roundtable to explore how to future-proof infrastructure for AI. Connect with peers from top Indian enterprises to tackle challenges, share insights, and discuss strategies for modernising workloads, scaling AI, and maximising infrastructure investments.

Topics of discussion include:

• TCO reality check. Assessing total cost of ownership across licensing, infrastructure, skills, and migration.
• Platform choices. Determining which workloads stay on VMware, are re-platformed, or move to cloud native.
• AI-readiness. Making infrastructure decisions that unlock near-term AI value without over-engineering.
• Sequencing & quick wins. Creating a phased migration and modernisation roadmap that delivers early savings, efficiency, and long-term resilience.

Don’t miss the opportunity to gain practical takeaways, peer perspectives, and forward-looking guidance to accelerate your AI readiness.