Insights

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No.
Date
Title
Written by
Topics
01
Fri May 22 2026
Fried Schölvinck
  • Agentic AI
  • Generative AI
02
Tue May 12 2026
Martijn Di Bucchianico
  • Agentic AI
  • AI Act
  • AI Governance
03
Mon May 4 2026
Martijn Di Bucchianico
  • AI Act
  • AI Governance
05
Tue Mar 31 2026
Kasper Uleman
  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering
06
Fri Mar 20 2026
Alexandr Koryachko
  • AI Governance
  • Data Engineer
  • Data Science
  • Machine Learning Engineering
07
Mon Mar 9 2026
Martijn Di Bucchianico
  • Data & AI Solutions
  • Data & AI Strategies
08
Tue Dec 2 2025
Kasper Uleman
  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering
09
Fri Oct 17 2025
Ally Mashaura
  • Analytics Engineering
  • Data Platforms
10
Fri Oct 10 2025
Jessica Eggen
  • Analytics Engineering
  • Data Engineer
Modern AI tools have democratized software creation. With the concept of ‘vibe coding’ maturing to ‘agentic engineering’ and some powerful new plugins (or skills, MCP tools and CLI’s), full-stack development is now accessible to a much wider audienc...

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

Databricks, Fabric, or Snowflake: Pricing Model & Strategy

Written by

  • Kasper Uleman

Topics

  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering
The gap between a working notebook and maintainable production code is significant, especially in teams where people specialize in different parts of the project lifecycle. Situations where data scientists throw a proof-of-concept notebook over the...

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

Slash Your Cloud Data Costs: 11 Proven SQL Optimization Techniques

Written by

  • Ally Mashaura

Topics

  • Analytics Engineering
  • Data Platforms

Power BI best practice: CI/CD Pipelines

Written by

  • Jessica Eggen

Topics

  • Analytics Engineering
  • Data Engineer
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