Organizations collapse under digital gravity—complexity born from scattered decisions. The cure isn’t more effort, it’s shared maps: Capability Maps, Data Models, artifacts that act as treaties across teams. True effectiveness comes from the integrated system—plans, repeatable processes, and an operating model working in concert. The architect’s role is not drawing diagrams but tuning this machine of decisions so the enterprise can actually move.

This episode is presented by platformeconomies.com - and if you are interested in matters of architecture, make sure to get my book on IT Architecture today: ⁠https://a.co/d/gK7YzOL (US) / ⁠https://amzn.to/3OkwqE9⁠ (DE)

Transformation fails when teams skip the hard work of naming what they don’t know. Gap Analysis is the discipline of comparing today’s architecture with tomorrow’s ambition across business, data, application, and technology. It’s not a checklist—it’s a continuous practice that forces honesty, exposes dependencies, and grounds vision in reality. TOGAF offers the structure, but the courage to face the gaps is what keeps projects from collapsing.

This episode is presented by platformeconomies.com - and if you are interested in matters of architecture, make sure to get my book on IT Architecture today: ⁠https://a.co/d/gK7YzOL (US) / ⁠https://amzn.to/3OkwqE9⁠ (DE)

This episode examines a new strategy aimed at German startups, framed as partnership but functioning as a carefully engineered acquisition funnel. At a time when many founders face a funding winter, offers arrive promising capital, bureaucratic relief, and easy access to international markets.

This episode is presented by platformeconomies.com - and if you are interested in matters of architecture, make sure to get my book on IT Architecture today: ⁠https://a.co/d/gK7YzOL (US) / ⁠https://amzn.to/3OkwqE9⁠ (DE)

If Databricks is your engine, this episode is the ignition. We break down the end‑to‑end playbook from “Machine Learning Operations (MLOps) with Databricks on Azure End‑To‑End” — a practitioner’s guide to turning raw data into production‑ready ML and measurable business impact in 2025.

You’ll learn how to:

• Scale pipelines: Build and optimize data pipelines that don’t buckle under growth

• Trust storage: Harness Delta Lake for reliable, high‑performance data foundations

• Accelerate analytics: Apply Spark efficiently for analytics and ML workflows

• Ship models confidently: Deploy reproducible ML in Databricks with clear guardrails

• Avoid pitfalls: Follow step‑by‑step, real‑world guidance that saves time and rework

This isn’t theory. It’s the roadmap for data engineers, analysts, and ML pros who want to move fast, stay current, and deliver results that matter. If you’re ready to unlock Databricks and build with conviction, start here.

Grab the book:

• 🇺🇸 US: https://www.amazon.com/dp/B0FTSY78DR

• 🇬🇧 UK: https://www.amazon.co.uk/dp/B0FTSY78DR

• 🇩🇪 Germany: https://www.amazon.de/dp/B0FTSY78DR

This episode unpacks the daring financial choreography between Oracle and NVIDIA, a structure some call the “AI circle of money.” NVIDIA sells chips to Oracle, Oracle builds cloud infrastructure, and then NVIDIA rents back compute time—creating a self-reinforcing loop of revenue. At the heart of it lies Oracle’s staggering Remaining Performance Obligations, including a reported $300 billion commitment from OpenAI, which has supercharged Oracle’s valuation on the promise of future earnings. For Oracle, it’s a chance to challenge the cloud incumbents.

This episode is presented by platformeconomies.com - and if you are interested in matters of architecture, make sure to get my book on IT Architecture today: ⁠https://a.co/d/gK7YzOL (US) / ⁠https://amzn.to/3OkwqE9⁠ (DE)

This episode explores the argument that generative AI is not just another drafting tool but a full-blown industrial factory aimed at replacing human labor in architecture and engineering. Through the lens of Wardley mapping, we trace how once-specialized services like 3D visualization and compliance are dragged toward commoditization, stripped of margin, and folded into centralized AI-driven platforms. The real struggle is not about creativity but about who owns the operating system.

This episode is presented by platformeconomies.com - and if you are interested in matters of architecture, make sure to get my book on IT Architecture today: ⁠https://a.co/d/gK7YzOL (US) / ⁠https://amzn.to/3OkwqE9⁠ (DE)

The age of walled‑off AI labs is fading fast. Microsoft’s Cloud Adoption Framework points to a future where AI isn’t a side project but part of the everyday machinery of the enterprise. By weaving AI into the same cloud environments that run the rest of the business, companies gain stronger governance, steadier performance across regions, and tighter control over costs. What was once experimental becomes as ordinary — and as indispensable — as electricity.

This episode is presented by platformeconomies.com - and if you are interested in matters of architecture, make sure to get my book on IT Architecture today: https://a.co/d/gK7YzOL (US) / https://amzn.to/3OkwqE9 (DE)

The old rulebook says protect your own interests above all else. The data says otherwise. From Axelrod’s famous tournaments to the quiet power of “Generous Tit‑for‑Tat,” the evidence stacks up — starting with cooperation pays off more than going it alone. Give first, respond firmly to bad faith, forgive when it counts, and watch trust compound into returns that no single‑shot win can match. This is strategy as evolution intended it.

This episode is presented by platformeconomies.com - and if you are interested in matters of architecture, make sure to get my book on IT Architecture today: https://a.co/d/gK7YzOL (US) / https://amzn.to/3OkwqE9 (DE)