Microsoft Ignite ushers in autonomous agents, creating an immediate need for financial oversight and zero-trust security to manage unpredictable operational costs.
Unsustainable AI vendor economics demand a strategic focus on governance, true costs, and open-source models for lasting innovation and competitive advantage.
Microsoft’s new sandboxed Copilot extends its reach from data synthesis to autonomous execution, creating governance and compliance challenges, especially around paywalled data and security.
Adobe’s unified Firefly AI platform streamlines creative production, offering choice via a multi-model ecosystem while shifting vendor lock-in to the overarching Creative Suite.
Canva is challenging Adobe’s market leadership by offering free professional tools (Affinity) and launching an AI-driven Creative Operating System for enterprise content scale.
How best to justify project budgets for efforts to reduce risk ? While some people focus on simply lowering risk as a whole, the more effective move is to align mitigation efforts precisely with the organisation’s stated risk appetite.
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.
