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.
Explore the evolving landscape of AI technologies and vendor ecosystems with a deep dive into Google’s AI Agent Space program.
Explore how Salesforce’s Agentforce Testing Center is reshaping AI agent lifecycle management with cutting-edge testing capabilities.
How addressing accumulated technical debt can lead to substantial cost savings and operational efficiencies for your organisation.
DevOps. MLOps. LLMOps. Do IT teams need yet another buzzword? While it may be tempting to think of large language model ops (LLMOps) as a subset of machine learning ops (MLOps), that would prevent us from exploiting the real benefits of building enterprise applications with large language models (LLMs) – scale and speed of development.
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