Perspectives & Analysis
How I read AI strategically — from European practice and community.
Skill Shift, Not Replacement: What Developers Report About Working With AI
2026-07-27
The New AI Architecture in 2026: Harness, Evaluation, Open Source
2026-05-26
Mastery, not Ownership: Where AI Sovereignty Actually Takes Shape in 2026
2026-05-18
Regulated, Interconnected, Stalled: What's Blocking AI Projects in Five Industries
2026-05-11
Evaluation beats architecture: the discipline that decides whether AI ships
2026-05-07
Agents in Production: Why Evaluation Matters More Than Model Choice
2026-05-04
Stop Waiting, Start Shipping: the Open AI Stack Grew Up in 2026
2026-04-27
Agentic AI & Automation: Three Months of Coding Agents in Operations
2025-09-15
Cross-Pollination & AI: Scaling in the Era of Autonomy
2025-08-15
Enterprise AI & Open Source: What Three Practitioners Said About a Sustainable Architecture
2025-04-20
Data Quality Assurance: The Foundation for Reliable AI Systems
2025-03-15
Overfitted Promises: AI in Coding Research – Hype vs. Evolution
2025-03-15
Why AI Projects Fail
2024-11-15
The Economics of Prediction Machines: Understanding AI as an Economic Factor
2020-11-15
AI for Decision-Makers: Why You Can't Buy AI, You Have to Build It
2020-03-15
What Two Years of Deep-Learning Experiments Teach About AI in Practice
2020-02-11
Agile Analytics Rock the Enterprise: Open Source as a Game-Changer
2018-03-15
I bring clarity before AI initiatives lock in vendors, platforms, and investments. If a strategic choice is ahead —
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