Navigating the VMware Shift One Year On: Why Mid-Sized Organisations Should Explore Alternatives
Broadcom’s VMware licensing changes demand mid-sized organisations reassess their IT strategies and explore cost-effective alternatives.
AI Trends 2025–2028: A Sanity Check & Update for Busy Business Leaders
A critical analysis of AI trends, debunking vendor-driven myths and emphasising practical, business-oriented adoption strategies.
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Parametric Cost Modelling for Innovative Technology Projects
Parametric modelling enhances Agile IT project cost prediction through data-driven complexity categorisation. Accurate data, model flexibility, and clear stakeholder communication are crucial for effective implementation.
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Graph Databases and AI: The Catalyst for Contextual Intelligence in the Enterprise
Simplified, cost-effective graph databases are driving AI innovation, enabling advanced applications like RAG and agentic AI.
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CIOs in Transition: Identity Crisis or the Shift to CXO
CIO roles evolve, facing ambiguity but expanding into CXO positions. Diversified C-suite roles, including CTO, CDO, and CISO, address specialised technological needs.
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Machine Learning Algorithms Cheat Sheet
Algorithm selection is crucial for effective machine learning. This guide outlines key algorithms, their strengths, limitations, and practical business applications.
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Graph Databases are Here to Rescue Your RAG Projects
Graph AI is finally here, and it promises to fix many of the problems in current retrieval, augmenting generation AI services and improving accuracy, context, and reasoning capabilities.
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‘No Winners’: CEO of Software Giant SAP Urges End to Trump Tariff War – AFR – 24 March 2025
US tech’s push for unfettered market access clashes with national sovereignty, ignoring crucial privacy, intellectual property, and security concerns, risking a fragmented digital world.
The Grand-Unified Theory of Knowledge Management: How Did We Get in This Mess and What To Do About It
The era of deep collaboration and democratised data analytics forces two very different disciplines – knowledge management and data management – together. A surplus of idealised hype and a lack of practical technologies add pressure.