Data Platform Complexity, Part 4: Four Models to Fight It
Data platform complexity is rarely something that happens to an organization. It is something the...
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Category: Mental Models
Data-Informed vs Data-Driven, Part 3: What Maps Leave Out
Every dataset is a map, which means it shows a territory in simplified form and leaves things out,...
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Goodhart’s Law in Data and AI, Part 2: How Metrics Fail
Goodhart’s Law in data and AI describes a moment every data-driven organization walks into...
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Mental Models for Data and AI, Part 1: Why Silos Persist
The data warehouse of the 1990s, the data lake of the 2010s and today’s GenAI platform fail...
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Big Context, Little Content: Why the LLM Context Window Is Not a Data Lake
Big context, little content – that is the short summary of what research tells us about...
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GenAI Critical Thinking: The Skill AI Cannot Replace
GenAI critical thinking is becoming one of the scarcest skills in knowledge work. GenAI makes it...
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Value Over Volume: Why AI Makes Data Professional Fundamentals Matter More Than Ever
Data professional fundamentals have never been more valuable, yet for years the industry measured...
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The Art Of Data Tech Unlearning: Which Habits We Need to Drop Now
In the rapidly evolving landscape of 2026, Data Tech Unlearning has become a critical survival...
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From Ticket-Takers to Value-Makers: Navigating 2026 Tech Predictions
In late 2025, the tech world is drowning in “2026 tech predictions” from every analyst and...
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Data and Analytics Skills 2026+: Why You Need More Than a Full Toolbox
The demands on data professionals and leaders are changing rapidly. Technologies, methods and...
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