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Data & AI
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Data & AI
October 09, 2026
Beyond extraction accuracy: what a production document pipeline needs
Most organizations have seen an AI demo using their own invoices, contracts or claims, and the extraction results are usually good. Making the same capability...
Saïd Loyens
Data & AI
October 09, 2026
What your document processes are costing you, and how to find out
Every organization has a document process that everyone knows is slow and nobody wants to own. Claims, invoices, certificates, contracts and application forms...
David Clijsters
Data & AI
September 01, 2026
The AI frontrunners are not waiting. Why your Fabric foundation needs to move now
AI is moving faster than most organizations can organize themselves around it, and that is the real challenge. Almost every company is experimenting with...
Roelof van der Klaauw
Data & AI
Cegeka Application Services
September 01, 2026
AI Projects Don’t Fail Because of the Technology. They Fail Because of Your Data.
Many organizations are investing heavily in artificial intelligence, yet they struggle to realize the value they were promised. In this blog, you'll discover...
Maarten Ruitenberg
Data & AI
Cegeka Application Services
September 01, 2026
The IT Architecture of Tomorrow: Why AI Can’t Succeed Without iPaaS
Many organizations assume that adding AI to their existing IT landscape is relatively straightforward. From an architectural perspective, however, AI is much...
Maarten Ruitenberg
Data & AI
Cegeka Application Services
September 01, 2026
From Proof of Concept to Production: How to Build AI Success Step by Step
Many organizations are experimenting with AI, but few move beyond isolated pilots and proof-of-concept projects. In this blog, we explore why AI initiatives...
Maarten Ruitenberg
Data & AI
Cegeka Application Services
July 29, 2026
Modernizing High‑Risk Legacy Software with AI in a Controlled Way
Every software system that has evolved over decades has its dark corners, where no developers dare to venture. Used in the right way, AI can change the...
Bieke Meeussen
Data & AI
Cegeka Application Services
June 19, 2026
AI-Assisted COBOL Modernization: Why Understanding the System Matters More Than Rewriting It
Most organizations believe legacy modernization is a technology problem. In practice, it’s a knowledge problem, and that’s where things become risky. Systems...
Benny Vranckx
Data & AI
Cegeka Application Services
May 19, 2026
Code LLMs in Software Development: Three Lessons from Practice
Large Language Models (LLMs) have by now become a permanent part of the workplace. In our teams, we have been working with code LLMs to support software...
William Mauclet
Data & AI
May 11, 2026
Your platform isn't "done" when it runs. It's done when teams can ship, trust, and sustain it.
We'll start with a statement that might sting a little: if your data platform still needs heroics to deliver, govern, or just keep running, it's not a platform.
Fabrice Deseyn