Latest Advisory
VENDORiQ: Google Ironwood: A driver for Cost Efficiency in AI?
Google’s Ironwood TPU targets AI inference cost/efficiency, vital for scaling complex models amidst fierce competition.
VENDORiQ: Google Ironwood: A driver for Cost Efficiency in AI?
Google’s Ironwood TPU targets AI inference cost/efficiency, vital for scaling complex models amidst fierce competition.
Generative AI in the Enterprise: Buy, Build or Platform?
Ready-made GenAI offers speed but limits customisation. Building in-house allows bespoke solutions but demands time and risk. AI platforms provide a hybrid path for rapid, tailored deployment.
A Strategic Value Framework for Digital Transformation
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.
Digital Innovation – Develop Your Innovation Agenda
CIOs drive organisational innovation by aligning technology with strategy. Effective innovation frameworks require governance, agile teams, and cross-functional collaboration. Leveraging existing partnerships and infrastructure accelerates innovation adoption.
VENDORiQ: Betting on Cloud Desktops – Nerdio Secures USD500 Million
Nerdio’s $500m investment signals cloud management market maturation amidst on-premise shifts. Delivery challenges require global expansion and enhanced partner enablement.
VENDORiQ: Casio Steps Up Its Marketing Game With Adobe Experience Platform
Casio’s adoption of the Adobe Experience Platform for its global ecommerce rollout across 30 localised websites demonstrates a commitment to data-driven personalisation using AI for enhanced customer engagement. Organisational readiness and a focus on direct sales channels are key strategic considerations for this multinational’s digital transformation.
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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