Artificial intelligence is moving from isolated experiments to the foundation of enterprise operations, demanding that CIOs redefine digital transformation by placing a strategic focus on data utilisation, ethical governance, and deep workforce literacy
CIOs Face Fresh Watershed in the Age of AI – AFR Nov 18 2025 Read More »
The AI industry is experiencing an unprecedented surge, with neo-cloud firms like Iren playing a pivotal role in reshaping the AI infrastructure market.
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.
VENDORiQ: Microsoft’s Copilot Gets a Sandbox – What Does ‘Computer Use’ Mean Now? Read More »
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.
VENDORiQ: Canva’s Creative OS is a Strategic Attack on Adobe’s Fortress Read More »
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.
Risk Migration Framework Read More »
Managing information where it lives, known as manage-in-place, requires understanding diverse technical architectures to select the right governance strategy.
Modern Information Management. Manage-in-Place Vendor Summary 2025 Read More »
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.
AI Project Failure – The Hype Meets Reality Read More »
