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TL;DR: Poor data quality causes AI projects to fail at growing companies. Covers assessment, GDPR mapping, cleaning pipelines, and a go/no-go checklist. Why this matters: the most common reason AI projects fail at mid-sized companies is not the AI m...
TL;DR: Before AI goes live in your operations, run this 12-point checklist. Covers GDPR, EU AI Act, cost controls, and incident response for European SMEs. There is a gap between "we use AI tools" and "AI is running in production." Many 15-50 person...
Introduction Deploying Large Language Models (LLMs) in production is becoming increasingly common as organizations look to leverage AI capabilities. However, this integration comes with new security challenges that many engineering teams are not prep...