{"id":833496,"date":"2026-01-16T17:04:16","date_gmt":"2026-01-16T16:04:16","guid":{"rendered":"https:\/\/www.devoteam.com\/expert-view\/lessons-on-ai-readiness-from-rebuilding-a-legacy-data-platform\/"},"modified":"2026-01-16T17:04:16","modified_gmt":"2026-01-16T16:04:16","slug":"lessons-on-ai-readiness-from-rebuilding-a-legacy-data-platform","status":"publish","type":"expert-view","link":"https:\/\/devoteam.info\/en-pt\/expert-view\/lessons-on-ai-readiness-from-rebuilding-a-legacy-data-platform\/","title":{"rendered":"Lessons on AI Readiness from Rebuilding a Legacy Data Platform"},"content":{"rendered":"\n
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Written as part of our AI Upskilling Program<\/strong><\/h2>\n\n\n\n

This article was created as part of the Global Devoteam AI Upskilling Program<\/a>, where employees share their knowledge to accelerate their learning. The program’s key objective is to provide a foundation in AI for every employee and apply these new skills in our work. Do you want to work with us? Check out our career opportunities.<\/p>\n\n\n\n

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Career Opportunities<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

Most AI initiatives do not fail because the model is weak. They fail because no one truly understands how the data underneath is created.<\/p>\n\n\n\n

That realisation came early while rebuilding a legacy data platform that had evolved over more than 15 years. Before any AI could be trusted, every single datapoint had to be traced, from raw input to final \u201cgold\u201d output, through hundreds of files, scripts and manual steps.<\/p>\n\n\n\n

Only then did one thing become clear: the organisation was not struggling with AI. It was struggling with AI readiness<\/strong>.<\/p>\n\n\n\n

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What you’ll read in this article: <\/h3>