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Generative AI — what it actually is, how it works, what it's good at, and where it goes wrong. No hype. No math. Just clarity.
...models? Data — Do you have clean, accessible data the AI can learn from? Compute — Do you have the infrastructure to run AI at the scale you need? Where is your weakest dial? What would it take to turn...
How to decide what to build, what to buy, what to access through partners, and what to participate in through ecosystems — covering differentiation vs commodity analysis, vendor evaluation, total cost of ownership, interoperability velocity, exit strategy, and lock-in risk.
...Standards benefit — does adopting this standard improve our interoperability? Shared cost — does sharing infrastructure reduce our cost? Influence — can we shape the ecosystem direction? Exit cost — how hard...
How data strategy and AI direction connect to architecture — covering data quality, governance, data architecture for AI, AI enablement, responsible AI, data products, data mesh, and building a data and AI roadmap.
...architecture Fine-tuning Training on your data Training pipeline + compute Inference Running the model Serving infrastructure + cost management The RAG architecture in detail: User Query → Embedding Generation (convert...
How to build multi-year transformation roadmaps that sequence architectural change realistically — accounting for dependencies, capacity, risk, and the fact that the organisation must continue operating while it transforms.
...their dependencies: Initiative Depends on Type Blocking? Risk if delayed e.g. API Gateway Platform infrastructure Technical Yes — blocks 5 services High If you have more than two "blocking" dependencies,...
What software and enterprise architecture actually is — its structure, relationships, and decisions — and what it is not. No diagrams. No jargon. Just clarity.
...component-level decision — like "use event sourcing in this service" — ripples upward. Suddenly you need event infrastructure. Suddenly other teams want to publish and subscribe. Suddenly your system architecture...
Proving AI's value — defining success before you start, attributing outcomes correctly, and reporting to leadership in a way they trust. The discipline of answering the question every executive asks: is this worth it?
...intangible returns. Cost categories to account for: development (data preparation, model building, testing), infrastructure (compute, storage, tools, licences), talent (AI team salaries, training, hiring), and...
What's coming in AI — multimodal models, on-device AI, open-source momentum, protocols, regulation, and the shift to AI-native organisations. See around the corner without falling for hype.
...multilingual capabilities DeepSeek DeepSeek Reasoning and code capabilities Open Source Closed (API) Cost Infrastructure only Per-request pricing Customisation Full fine-tuning possible Limited customisation...
Learn to lead high-performance engineering organizations with clear decision rights, distributed leadership, and AI-augmented team management for the future of work.
...major tech investments Delegate to AI AI agent decides autonomously within charter AI agent auto-scales infrastructure based on rules Decision rights matrix template: Implementation: Document decision rights...
How to create, govern, and operationalise architecture standards and reference architectures — the agreed patterns and structures that create consistency, reduce duplication, and accelerate delivery at scale.
...management (budgets, alerts, tagging), Deployment pipeline (IaC, CI/CD). Integration Platform — The shared infrastructure for connecting systems — APIs, events, messaging, transformation. Components: API gateway...
How to distinguish technology strategy from architecture strategy, connect both to business strategy, and define a coherent direction for the organisation's technology investments.
...AI platform (technology strategy) but the architecture isn't ready for it — no data pipeline, no ML infrastructure, no governance model. Forcing the technology without the architecture creates risk. Conflicts...