AI tools leave data analysts with trust gaps
AI tools have boosted software developer productivity, but data analysts aren’t seeing the same benefits. For business users who work primarily with data, results from AI-powered tools often feel like black boxes: there’s little transparency on what data was used or how conclusions were reached. This makes it tough to trust AI outputs, especially when source data may be outdated or traceability is lost in handoffs.
- Business analysts lag software developers on AI gains
- AI output for data isn’t easily verifiable
- Disconnected and outdated data adds confusion
- Transparency and data access remain key challenges
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