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No.
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Title
Written by
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01
Tue May 12 2026
Scaling Agentic AI: why the centralize-decentralize cycle keeps repeating (and what to do about It)
Martijn Di Bucchianico
  • Agentic AI
  • AI Act
  • AI Governance
02
Mon May 4 2026
The AI Act gives your teams permission to work the way your best people already do
Martijn Di Bucchianico
  • AI Act
  • AI Governance
03
Tue Apr 14 2026
Are you afraid to be locked into Entra ID? Here is your phased migration plan towards EU cloud alternatives
Richard Kooijman
  • Data Platforms
  • EU-Cloud
04
Tue Mar 31 2026
Databricks, Fabric, or Snowflake: Pricing Model & Strategy
Kasper Uleman
  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering
05
Fri Mar 20 2026
From PySpark Notebook to Production-Ready Code
Alexandr Koryachko
  • AI Governance
  • Data Engineer
  • Data Science
  • Machine Learning Engineering
06
Mon Mar 9 2026
Introducing  counterfactual analysis and why it matters for your AI systems
Martijn Di Bucchianico
  • Data & AI Solutions
  • Data & AI Strategies
07
Tue Dec 2 2025
Databricks, Fabric, or Snowflake: How Your Engineering Experience Changes
Kasper Uleman
  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering
08
Fri Oct 17 2025
Slash Your Cloud Data Costs: 11 Proven SQL Optimization Techniques
Ally Mashaura
  • Analytics Engineering
  • Data Platforms
09
Fri Oct 10 2025
Power BI best practice: CI/CD Pipelines
Jessica Eggen
  • Analytics Engineering
  • Data Engineer
10
Thu Aug 28 2025
Databricks, Fabric, or Snowflake: The Big Three Explained
Kasper Uleman
  • Analytics Engineering
  • Data Engineer
  • Data Platforms
  • Machine Learning Engineering

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

Every organisation faces the same obstacle. First, one team builds something useful with AI. Then another team does the same thing. Then another. By month six, you have duplicate agents, conflicting pipelines, and disorder. So you centralise. The r...

Written by

  • Martijn Di Bucchianico

Topics

  • Agentic AI
  • AI Act
  • AI Governance
See more

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

Are you afraid to be locked into Entra ID? Here is your phased migration plan towards EU cloud alternatives

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

Artificial Intelligence (AI) extensively powers high stakes decision making. Job candidate screening, credit scoring, school admission, healthcare diagnostics and maintenance in critical infrastructure rely heavily on Machine Learning (ML) models. T...

Written by

  • Martijn Di Bucchianico

Topics

  • Data & AI Solutions
  • Data & AI Strategies
See more

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

Databricks, Fabric, or Snowflake: The Big Three Explained

Written by

  • Kasper Uleman

Topics

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