A critical analysis of AI trends, debunking vendor-driven myths and emphasising practical, business-oriented adoption strategies.
AI Trends 2025–2028: A Sanity Check & Update for Busy Business Leaders Read More »
Broadcom’s VMware licensing changes demand mid-sized organisations reassess their IT strategies and explore cost-effective alternatives.
CIO roles evolve, facing ambiguity but expanding into CXO positions. Diversified C-suite roles, including CTO, CDO, and CISO, address specialised technological needs.
CIOs in Transition: Identity Crisis or the Shift to CXO Read More »
Simplified, cost-effective graph databases are driving AI innovation, enabling advanced applications like RAG and agentic AI.
Graph Databases and AI: The Catalyst for Contextual Intelligence in the Enterprise Read More »
Algorithm selection is crucial for effective machine learning. This guide outlines key algorithms, their strengths, limitations, and practical business applications.
Machine Learning Algorithms Cheat Sheet Read More »
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.
Graph Databases are Here to Rescue Your RAG Projects Read More »
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 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.
While agentic AI is grabbing the headlines, graph databases are quietly revolutionising AI applications with their ability to capture complex relationships.
What Are Graph Databases and Why Will They Be the Next Big Thing Read More »
