Data & AI · 14 October 2026
Why AI projects fail on data, and how to avoid it
AI projects that fail rarely stumble on the algorithm: four data-related causes of failure observed in the field, and the method we use to avoid them.
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Insights
Data & AI · 14 October 2026
Is your data ready for AI? Ten questions to ask
Before launching an AI project, ten questions to check whether your data allows it: target decision, history, definitions, quality, rights of use, delivery.
Read the article Nearshore · 10 December 2024
Nearshore vs offshore: which is the best option for your IT projects?
Cost, time zone, language, seniority, governance, compliance — how to choose between nearshore and offshore for a data or IT project, and when to combine both.
Read the article Nearshore · 10 December 2024
Why nearshore in Morocco is the IT solution of the future
Talent, proximity, ecosystem, move up-market towards data and AI, legal framework — why Morocco has become the nearshore destination for French IT projects.
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