Digital transformation, particularly with AI, requires a structured approach like strategic value realisation (SVR) to ensure strategic value capture. SVR aligns stakeholders through clear objectives, focusing on cost reduction, operational enhancement, and stakeholder value. Fragmented AI adoption risks long-term value.
Nerdio’s $500m investment signals cloud management market maturation amidst on-premise shifts. Delivery challenges require global expansion and enhanced partner enablement.
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.
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.
AI integration race accelerates as Google bundles Gemini into Workspace
Are SaaS costs rising out of control, or is there more to the story?
Microsoft 365’s pricing has sparked debate among ICT and finance leaders.
Explore the evolving landscape of AI technologies and vendor ecosystems with a deep dive into Google’s AI Agent Space program.
This paper outlines the key technological developments driving changes in retrieval augmented generation (RAG). Mapping those changes on a non-linear trajectory, we predict the near future, and provide actionable recommendations for organisations to stay ahead of the curve in the rapidly evolving landscape of enterprise artificial intelligence (AI).
