Machine Learning Operations with Databricks on Azure: End‑to‑End in 2025
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 growthTrust storage: Harness Delta Lake for reliable, high‑performance data foundationsAccelerate analytics: Apply Spark efficiently for analytics and ML workflowsShip models confidently: Deploy reproducible ML in Databricks with clear guardrailsAvoid pitfalls: Follow step‑by‑step, real‑world guidance that saves time and reworkThis 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
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17:17
AI Circle of Money – Oracle and NVIDIA’s High-Stakes Loop
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)
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From AI Factory to Everyday Utility
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)
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The Mathematics of Generosity in Business
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)
For CIOs, CTOs, Enterprise Architects, Software Developers, and anyone responsible for delivering tangible results from technology investments. We challenge conventional wisdom, debate the future of Java, dissect architecture audits, and provide actionable insights you can use today. Keywords: IT Strategy, Enterprise Architecture, Cloud Computing, Microsoft Licensing, Software Development, Agile, DevOps, Architecture Audits, Java, LLMs, CDPs, Digital Transformation, Business Value, IT Leadership, Technology Cost Optimization, Innovation, Strategic Alignment. Subscribe now and join in!
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