On "The Platform Economist," we explore the infrastructure that underpins our digital economy. And today, there's no greater challenge—or opportunity—than scaling machine learning from experiment to production. The bottleneck isn't genius; it's plumbing. You don't need more geniuses, you need better plumbing.

This episode, we're dissecting the practical roadmap to mastering that plumbing: "Machine Learning Operations (MLOps) with Databricks on Azure: End-to-End in 2025." This isn't just theory; it's a hands-on guide designed to give data engineers, analysts, and ML enthusiasts the tools to build and optimize data pipelines that don't buckle under pressure.

We'll explore the core economic principles of MLOps: how reducing technical debt and automating workflows directly impacts your bottom line. We'll dive into the key components covered in the book, from leveraging MLflow for experiment tracking to utilizing Databricks' Unity Catalog and Lakeflow for robust data governance and pipeline orchestration.

If you're looking to move beyond the PowerPoint slides and implement a scalable, cost-effective ML strategy on one of the most powerful cloud platforms available, this book is your essential guide. It's a compact, hands-on manual with all the essentials you need to succeed.

Ready to build the future of AI operations? Grab your copy today and start building pipelines that deliver real value:

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On "The Platform Economist," we often analyze digital transformation from a 30,000-foot view—the capital investments, the platform shifts, the market disruption. But what happens when that multi-million dollar strategy hits the ground floor and collides with Bob from accounting, a sentient coffee machine, and an endless loop of printer errors?

This episode, we're examining a fascinating and unconventional tool that models this very chaos: "The Office Adventure - Digital Transformation Quest." At first glance, it's a pen-and-paper gamebook. But look closer, and you'll find a brilliant, low-stakes simulation for the most unpredictable variable in any economic model: people.

We'll explore how gamifying the process—choosing your character (are you the tech nerd or the spreadsheet queen?), rolling a d20 for tech checks, and managing "Innovation Points" vs. "Stress Level"—offers more than just a laugh. It provides a unique lens to examine the core principles of organizational change management, stakeholder alignment, and the friction between strategy and execution.

This isn't just about fun; it's a strategic tool to understand why the best-laid plans often go awry. It's a role-playing exercise for anyone who wants to lead change without losing their sanity.

Ready to simulate your own digital transformation? It's the perfect team-building exercise or a solo deep-dive into the human element of platform economics. Pick up your copy and roll the dice:

🇺🇸 United States: amazon.com/dp/B0DS2FR8DQ🇬🇧 United Kingdom: amazon.co.uk/dp/B0DS2FR8DQ🇩🇪 Germany: amazon.de/dp/B0DS2FR8DQ🇫🇷 France: amazon.fr/dp/B0DS2FR8DQ🇨🇦 Canada: amazon.ca/dp/B0DS2FR8DQ🇦🇺 Australia: amazon.com.au/dp/B0DS2FR8DQ🇰🇷 Korea: amazon.co.jp/dp/B0DS2FR8DQ

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This book asks the questions that often go unanswered: what value do IT architects create, and how can they do it better? It offers a practical guide drawn from lived experience, showing how architects bridge business and IT, design adaptable solutions, and lead with clarity in a world shaped by agility, AI, and inclusive design. It’s a resource not just for architects, but for anyone who wants to understand how architecture shapes organizations and society.

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)