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Voltaire Yap, Global Events Manager, Oracle Corp.
Using AI in an enterprise environment can feel like driving a high-performance car with no clear path forward. While AI enables extreme development speed, fragmented architectures, legacy systems, and organisational constraints often limit its real impact. This session examines how to move beyond ad hoc approaches and adopt a more structured way of building AI-driven systems at scale.
The talk introduces five core building blocks for effective AI-native engineering: the Agent, the Model, the Methodology, the Spec, and the Context. Together, these elements provide a framework for orchestrating AI systems in enterprise environments, helping teams move from experimentation to reliable, scalable outcomes.
What You Will Learn
Why enterprise environments limit the effectiveness of AI despite its speed advantages
The five core building blocks for orchestrating AI-native engineering systems
How to move from unstructured development approaches to deliberate, scalable AI system design
Who Should Attend
Software developers
Software architects
Platform engineers
Engineering managers and tech leads
Technology leaders implementing AI at scale
