As organisations face rapid technological change and growing demands for AI-driven insights, many are recognising that existing cloud and infrastructure strategies may no longer be fit for purpose.
Australian organisations are rethinking their strategies for two key reasons:
- Changes in VMware licensing. Subscription-based renewals and expansions are impacting total cost of ownership and approval processes.
- Growing demands of AI workloads. Around 65% of organisations in Australia are modernising infrastructure to support AI and cloud initiatives.
These shifts make it essential to optimise workloads and ensure IT investments are future-ready. The licensing changes, along with the VMware acquisition and evolving partner ecosystem, provide an opportunity to reassess which workloads stay on VMware, which move to cloud-native platforms, and how to fund AI initiatives effectively.
Join Tim Sheedy – VP of Research at Ecosystm, and one of Australia’s leading technology analysts – and your industry peers at this invitation-only roundtable for a practical deep dive, where industry leaders will share best practices and key learnings from their experience in navigating infrastructure and application modernisation to capture today’s and tomorrow’s AI opportunities.
This executive roundtable will go beyond theory, offering real-world insights and best practices from successful Australian companies on:
- 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.
- Procurement pragmatics. Managing contracts, partners, service levels, and subscription changes to minimise risk.
- Sequencing & quick wins. Creating a phased migration and modernisation roadmap that delivers early savings, efficiency, and long-term resilience.
Gain practical insights from tech leaders on overcoming challenges, driving measurable outcomes, and unlocking the full potential of AI-enabled infrastructure.
AWS
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.
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Please see below some images and key takeaways.
Key takeaways include:
⮞ Infrastructure decisions are becoming innovation triggers. Changes in licensing are accelerating the shift to cloud and freeing funds for AI initiatives, turning technical adjustments into business opportunity.
⮞ The real challenge is talent, not technology. Success depends on how quickly teams adapt to cloud-native ways of working. Leading organisations reskill existing talent rather than replacing it.
⮞ Legacy expertise is evolving, not expiring. Knowledge of risk, reliability, and governance remains critical, but its value now lies in applying it to modern, automated environments.
⮞ Modernisation fuels AI funding. Savings from infrastructure rationalisation are being reinvested into innovation, making modernisation a strategic investment rather than a cost-cutting exercise.
⮞ AI will drive the next wave of transformation. Beyond benefiting from modern architectures, AI is starting to automate and accelerate migration, optimisation, and integration.