Think of ‘AI’ as pattern services, machine learning, graph, and generative AI, that orchestrate to deliver complex outcomes, with Agentic AI as advanced process automation.
Core AI will soon be embedded in core business platforms, making complex custom projects redundant and shifting ICT strategy focus to vendor roadmaps.
Hybrid Cloud’s TCO is often triple-budgeted due to overlooked integration, data transfer fees, and lack of FinOps governance.
Salesforce’s Agentforce signals conversational AI is the ‘final mile’ in IT support automation, freeing up human staff for complex work.
Effective, tailored user personas drive successful digital workspace strategies by discovering diverse staff needs, fostering innovation, and supporting flexibility.
Model context protocol (MCP) is a vital standard enabling AI agents to automate tasks in core enterprise systems, but requires immediate, strong governance for safe adoption.
AWS’s New Zealand region is essential expansion, yet broader investment shifts toward high-risk, high-reward AI infrastructure will affect core cloud services.
Microsoft is ending volume discounts on Enterprise Agreements to fund AI investment, forcing executives to shift from price negotiation to value management and governance.
Neo4j’s Infinigraph architecture unifies transactional and analytical workloads at scale, simplifying data ecosystems and enabling real-time insights for AI.
