The Analytics Power Hour #257: Analyst Use Cases for Generative AI
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Oct 29, 2024 Joined by Martin Broadhurst, a consultant on AI and owner of Broadhurst Digital, the discussion dives into the evolving role of generative AI in analytics. They explore how AI can enhance data democratization while navigating its complexities. Martin emphasizes the importance of understanding AI's limitations and cautions against total reliance on it. Conversations also touch on the intricacies of Marketing Mix Modeling versus traditional methods, and the necessity of human expertise in achieving effective data analysis outcomes. Expect a blend of insights and humor throughout!
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Don't Start With AI Solution
- Starting a solution with AI without understanding the problem is risky and ineffective.
- Understanding the nature of the problem should always precede the choice of technological solution.
Generative AI's Probabilistic Nature
- Generative AI works on next token prediction, which makes its answers probabilistic and variable.
- Users must not expect AI to behave like traditional software that produces consistent, error-free outputs.
Use AI as Analytical Coach
- Use generative AI as a coach or mentor to assist with tasks like code writing or formula optimization.
- This leverages AI's strengths without exposing sensitive data directly to the AI.