AI
AI and the 15% improvement you can expect
AI hype does not match reality. There will be ~15% improvements in outputs. AI does not replace good engineers. It will replace bad engineers. A short plan bas…
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McKinsey 2025 AI Report – lots of noise, few returns
https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work (last one in…
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AIReference Architecture Concept Azure AI
AI is a big category. You will need skills to understand, build, deploy and manage AI projects. You will need more than just ‘AI’ to build AI and d…
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Azure AI Foundry vs Azure Well Architected Framework
Azure AI Foundry offers a compliance-first design and enterprise scaffolding necessary to safely move from experimental AI use cases to production-grade automa…
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AIAzure, AI RAG and issues
RAG or Retrieval Augmented Generation services some standard use cases. Use Case: Customised AI system to address externally facing processes and to build busi…
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AIAzure Copilot and AI
Component Role Why It’s Needed Copilot / Client Application The user-facing interface where a query or request is initiated. This is the starting point o…
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AIAI to automate SFA, CRM tasks
In today’s competitive landscape, businesses are moving beyond traditional Customer Relationship Management (CRM) and Sales Force Automation (SFA) to emb…
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AIAI Prompt Engineering with LLM
Case study example This is a difficult architecture to realise, but there are some firms which are pursuing this. In essence the LLM gives the end user facing …
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