Leaders Roundtable: Infrastructure management in the age of Generative AI

GenAI is transforming enterprise operations, driving faster AI adoption and stretching existing infrastructure. In the Philippines, as organisations expand digital and AI initiatives, infrastructure choices are key – they determine performance, resilience, cost efficiency, and how quickly AI delivers tangible value.

Ecosystm research finds that among organisations in the Philippines:  

71% cite infrastructure limitations as a key barrier to AI adoption
Only 15% feel confident that their current infrastructure can support future, high-demand AI workloads
53% acknowledge that they lack the in-house expertise to manage complex infrastructure and operations

Organisations can meet these challenges by creating infrastructure that scales with demand and adapts to evolving AI workloads. Optimising workloads, controlling costs, and leveraging automation reduces strain on internal teams while preserving performance, resilience, and compliance.

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

Topics of discussion include:

Modernising Infrastructure for GenAI. Examine strategies for upgrading compute, storage, and networking to deliver the performance, scalability, and resilience GenAI workloads demand.
VMware Migrations as a Catalyst for Modernisation. Explore how VMware migrations, licensing changes, and lifecycle events are prompting workload reassessment – streamlining management, reducing costs, and accelerating cloud adoption.

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

Amazon Web Services (AWS) represents Amazon’s cloud computing platform, enabling individuals and organizations to access essential IT resources including storage solutions, computing power, and database management via internet connectivity.

Clay Miller

Principal Advisor, Ecosystm

Adrian Geyer

Migration and Modernization Lead, AWS

Register for this Event

This event has already concluded.

Please see below some images and key takeaways.

These were the key takeaways:

AI workloads are straining the stack. Compute, storage, networking, and data pipelines are all under pressure. Organisations must proactively plan infrastructure to keep pace with growing GenAI demands.
Modernisation is more than migration. VMware and cloud migrations aren’t just lift-and-shift exercises. They are opportunities to optimise workloads, cut costs, and accelerate adoption of AI-ready infrastructure.
Skills and culture are the hidden bottlenecks. Ecosystm research finds that 53% of organisations in the Philippines lack the in-house expertise to manage complex AI operations. Bridging this gap requires investing in both talent and organisational culture.
Infrastructure choices shape outcomes. Decisions made today determine how quickly AI delivers real business value. Performance, resilience, cost efficiency, and speed to deployment all hinge on getting the foundation right.
Strategic foresight beats reactive fixes. With 71% citing infrastructure limits as a key barrier, waiting until workloads max out risks lost opportunity. Organisations need a roadmap that aligns infrastructure, operations, and talent with future AI adoption and scaling needs.