ServiceNow leads fourth-wave ICT integration, merging automation tools and leveraging active data for a comprehensive low-code platform approach.
Google’s Ironwood TPU targets AI inference cost/efficiency, vital for scaling complex models amidst fierce competition.
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.
Agentic AI has a functional application that you need to understand.
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.
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.
Salesforce’s Agentforce 2dx introduces autonomous AI agents for background tasks, boosting workforce productivity by proactively preparing and processing information, streamlining workflows.
Analysis of Zoho’s agentic AI for tier-two ERP vendors.
Microsoft Access has long been a trusted tool for mission-critical applications, but as organisations face increasing demands for scalability, security, and compliance, its limitations are becoming clear.
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