A critical analysis of AI trends, debunking vendor-driven myths and emphasising practical, business-oriented adoption strategies.
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.
Algorithm selection is crucial for effective machine learning. This guide outlines key algorithms, their strengths, limitations, and practical business applications.
Simplified, cost-effective graph databases are driving AI innovation, enabling advanced applications like RAG and agentic AI.
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.
Enterprise platforms now embed industrial AI agents, shifting from bespoke solutions. ServiceNow focuses on governance; Salesforce on proactive automation, simplifying deployment and impacting various enterprise roles.
Salesforce’s Agentforce 2dx introduces autonomous AI agents for background tasks, boosting workforce productivity by proactively preparing and processing information, streamlining workflows.
Atturra’s Kitepipe acquisition expands its North American footprint, bolstering Boomi integration, crucial for TechnologyOne and Microsoft ecosystems, with Philippine support enhancing scalability.
