A senior tech analyst tested Microsoft Fabric Copilot and Fabric IQ in a real production pipeline for 30 days. Initially, the tools impressed with accurate code generation and anomaly detection but later showed flaws in handling complex logic and subtle data issues, leading to potential data loss. By day 20, it was clear that while these AI tools excel at generating code from specifications, they struggle with diagnosing problems in existing systems. The analyst concluded that a balanced approach is needed, leveraging the strengths of AI for simple tasks while maintaining human oversight for complex diagnostics and transformations.
Read the full article at Towards AI - Medium
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