Powering What’s Next: Core AI Infrastructure for Future-Ready Innovation

As AI adoption matures across Malaysia, organisations are shifting from experimentation to enterprise-wide integration, moving beyond Generative AI (Gen AI) prototypes into fully operational, real-time systems. AI is no longer about content generation alone - it is now embedded in the heart of mission-critical processes, driving autonomous operations, predictive intelligence and continuous decision-making.

At the heart of this transformation lies a key truth: Gen AI performance is only as strong as the systems that power it. To unlock its potential, the organisation’s backbone and front-end capabilities must be fully in sync. High-performance compute, storage, and networking - optimised for AI workloads - must work seamlessly with front-end devices to ensure rapid, reliable, and scalable outcomes.

This shift demands purpose-built infrastructure for real-time inferencing, simulation, and AI model training - supported by next-gen GPUs, AI accelerators, and architectures that span cloud, edge, and on-prem environments. Whether in precision healthcare, advanced manufacturing, or national operations, enterprises are tuning their technology stacks to enable complex AI models to run at speed, adapt instantly, and scale with demand.

For organisations not ready to overhaul thousands of devices at once, flexible service models - including technology-as-a-service and device subscription options - provide a smarter path to modernisation. This phased approach minimises disruption, spreads investment over time, and ensures that upgrades happen in lockstep with operational needs. By adopting this model, enterprises can scale their Gen AI capabilities at a pace that matches both their technical readiness and strategic priorities.

The real challenge - and opportunity - is ensuring that all these elements work as one. From the data centre to the edge, every component must be orchestrated to deliver the speed, accuracy, and resilience that Gen AI demands. This means building an ecosystem where infrastructure, devices, and AI models are tightly integrated, continually optimised, and ready to adapt to shifting workloads or business needs.

By uniting performance, scalability, and governance in a single framework, organisations can move beyond isolated successes to achieve consistent, enterprise-wide impact - turning Gen AI into a dependable driver of innovation across sectors.

The session will allow delegates to:

• TRANSFORM operations with intelligent, responsible AI that enables collaboration, automation, and business agility.
• UNLOCK real-time efficiencies through high-performance AI infrastructure, adaptive workflows, and seamless integration from data centre to edge.
• ENHANCE decision-making with AI-driven insights that enable faster responses and more accurate forecasting.
• ACCELERATE sustainability goals through AI-enabled optimisation of energy and resources, coupled with automated ESG compliance.
• DEVELOP strategic plans for scalable AI adoption, from edge to cloud, with a clear focus on ROI and workforce enablement.

• Chief Analytics Officer 
• Chief Digital Officers  
• Chief Information Officers  
• Chief Information Security Officers  
• Chief Innovation Officers 
• Chief Technology Officers  
• Chief Transformation Officers  
• Directors and Heads of Analytics and Information Management  
• Director and Head of Applications 
• Directors and Heads of IT Infrastructure  
• Directors and Heads of Technology Capabilities and Innovation 
• Directors of Heads of IT Security  
• Head of Customer Experience  
• Head of IT Operations  
• Head of Operation 

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