INSIGHTS
We share analyses, experience feedback and perspectives on IT, Data, Automation and Pragmatic AI. These contents come from our monitoring, our projects, our experiments and our exchanges with professionals. The goal is to step back, distinguish trends from useful transformations and support more informed decisions.
Many companies test AI but still struggle to turn prototypes into fully integrated uses. The issue is not only technical: it also depends on framing, processes, data, human control and value measurement.
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PUBLICATIONS
AI models are advancing rapidly, but they do not automatically fix data problems. For an AI use case to be reliable, the information it uses must be accessible, consistent, up to date and properly managed.
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