Prepare your IT operating model for AI by balancing enhanced performance and governance against risks across sourcing, practices, and people.
OpenAI’s pivot to advertising signals inevitable commercial bias, compromising output integrity and privacy. Executives must audit free-tier usage and prioritise vendor independence.
Microsoft is unifying Copilot to transition from chatbots to agentic AI, necessitating a shift from price negotiations to value-based management.
NetApp’s new alliances bolster hybrid resilience and legacy support, but success hinges on rigorous recovery testing and complex multi-vendor orchestration.
Data sovereignty and centralised management prioritised over cost; IBRS favours containerised, Australian-hosted infrastructure across global, domestic, and open-source stacks.
HNS blends neural pattern recognition with symbolic logic to ensure safety and auditability. It is a niche, complex architecture for high-stakes environments.HNS blends neural pattern recognition with symbolic logic to ensure safety and auditability. It is a niche, complex architecture for high-stakes environments.
Multi-agent systems improve reasoning through collaborative debate. While costly and slow, they are vital for high-stakes tasks requiring extreme accuracy.
Reflexion architecture uses self-correction and memory to fix errors, but high costs and latency make it best for deterministic tasks.
Plan-and-Execute architectures prioritise structured, hierarchical workflows over reactive loops, delivering superior predictability and parallel execution for complex, multi-step business tasks.
