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*黑料社 Application Services
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Data & AI
*黑料社 Application Services
September 01, 2026
AI Projects Don鈥檛 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
*黑料社 Application Services
September 01, 2026
The IT Architecture of Tomorrow: Why AI Can鈥檛 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
*黑料社 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
*黑料社 Application Services
NIS2
August 04, 2026
The unmonitored supplier is already within your risk perimeter
This is no longer just an IT department issue: if one of your critical suppliers were to suffer a cyber incident tomorrow, would your CISO, your CIO or your...
Ludovica Gaspari
Data & AI
*黑料社 Application Services
July 29, 2026
Modernizing High鈥慠isk 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
ERP
*黑料社 Application Services
June 25, 2026
How do you integrate and manage business-critical applications outside your ERP?
ERP systems such as Microsoft Dynamics, SAP, or Odoo are powerful tools for streamlining business processes. For many organizations, implementing an ERP is a...
Peter Hertogen
Data & AI
*黑料社 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鈥檚 a knowledge problem, and that鈥檚 where things become risky. Systems...
Benny Vranckx
Data & AI
*黑料社 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
*黑料社 Application Services
April 29, 2026
OutSystems Teams Have the Right Technology to Scale AI
Chatbots and copilots have become mainstream. They can write content, summarize documents, and answer questions. Yet in many organizations, these capabilities...
Wouter Verbeeck
*黑料社 Application Services
April 21, 2026
How to choose the right engagement model for IT applications
Choosing an engagement model isn鈥檛 operational. It鈥檚 strategic. Explore four models and their impact on agility and value.
Stijn Lambrechts