Insights

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No.
Date
Title
Written by
Topics
01
Tue Jun 23 2026
Martijn Di Bucchianico
  • Agentic AI
  • AI Act
  • AI Governance
02
Tue Jun 2 2026
Richard Kooijman
  • Data Platforms
  • EU-Cloud
03
Fri May 22 2026
Fried Schölvinck
  • Agentic AI
  • Generative AI
04
Tue May 12 2026
Martijn Di Bucchianico
  • Agentic AI
  • AI Act
  • AI Governance
05
Mon May 4 2026
Martijn Di Bucchianico
  • AI Act
  • AI Governance
07
Tue Mar 31 2026
Kasper Uleman
  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering
08
Fri Mar 20 2026
Alexandr Koryachko
  • AI Governance
  • Data Engineer
  • Data Science
  • Machine Learning Engineering
09
Mon Mar 9 2026
Martijn Di Bucchianico
  • Data & AI Solutions
  • Data & AI Strategies
10
Tue Dec 2 2025
Kasper Uleman
  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering
The gap between a compelling GenAI demo and a working production system is wider than most organisations expect. And the reason is almost never the technology. So you centralise. The right call. One team manages agentic AI. They create rules, stop...

Written by

  • Martijn Di Bucchianico

Topics

  • Agentic AI
  • AI Act
  • AI Governance

Total Control: Reclaiming Your Data Platform from Big Tech

Written by

  • Richard Kooijman

Topics

  • Data Platforms
  • EU-Cloud

Bringing your vibe-coded AI app to production: a simple blueprint for internal deployment

Written by

  • Fried Schölvinck

Topics

  • Agentic AI
  • Generative AI

Scaling Agentic AI: why the centralize-decentralize cycle keeps repeating (and what to do about It)

Written by

  • Martijn Di Bucchianico

Topics

  • Agentic AI
  • AI Act
  • AI Governance

The AI Act gives your teams permission to work the way your best people already do

Written by

  • Martijn Di Bucchianico

Topics

  • AI Act
  • AI Governance
Entra ID is tightly coupled on the Azure platform to native services and custom-built applications and services. Of course, migrating away from native Azure services essentially means replatforming: replacing those services entirely by comparable se...

Written by

  • Richard Kooijman

Topics

  • Data Platforms
  • EU-Cloud

Databricks, Fabric, or Snowflake: Pricing Model & Strategy

Written by

  • Kasper Uleman

Topics

  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering

From PySpark Notebook to Production-Ready Code

Written by

  • Alexandr Koryachko

Topics

  • AI Governance
  • Data Engineer
  • Data Science
  • Machine Learning Engineering

Introducing  counterfactual analysis and why it matters for your AI systems

Written by

  • Martijn Di Bucchianico

Topics

  • Data & AI Solutions
  • Data & AI Strategies

Databricks, Fabric, or Snowflake: How Your Engineering Experience Changes

Written by

  • Kasper Uleman

Topics

  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering
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