Managing information where it lives, known as manage-in-place, requires understanding diverse technical architectures to select the right governance strategy.
AI projects often fail not because of the technology, but because of misalignment with strategy, poor data foundations, and low organisational readiness. To succeed, IT leaders must shift focus from hype to value, build robust data ecosystems, and foster cross-business collaboration.
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.
From Pilot to Profit: Navigate the AI Cost Landscape for Scalable Strategic Advantage.
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.
Adobe’s strategy signals a shift from tool vendor to AI workflow orchestrator, prioritising efficient, brand-compliant content scaling over raw AI model power.
Adobe’s new Firefly Foundry offers bespoke, brand-specific Generative AI models using proprietary IP, securing brand integrity while scaling content production.
StarCoder2, an open-access code LLM, offers customisation for enterprise development, but requires governance for DevOps integration.
