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How is generative AI changing business analytics for small companies?
Generative AI speeds up writing code and queries, summarising findings and drafting documentation, and lets people ask questions of data in plain language. It does not remove the need for clean data, clear definitions and human checking, since it can produce confident but wrong answers.
Useful applications:
- Drafting SQL and transformation code for review
- Explaining dashboards in plain English
- Classifying text such as customer comments
Cautions:
- Privacy of data sent to external services
- Hallucinated or incorrect results
- Inconsistent definitions leading to inconsistent answers
Good data foundations make AI tools far more reliable. Treat it as an assistant that increases the productivity of skilled people, not a replacement for them.
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