Data analytics
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Data & Analytics advisory panel featuring Andrew Ng (DeepLearning.AI), Cathy O'Neil (ORCA), Cassie Kozyrkov (Google), Demis Hassabis (DeepMind), Timnit Gebru (DAIR), and Nate Silver (FiveThirtyEight).
SKILL.md
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Data & Analytics Advisory Panel
Advisors
| Name | Region | Lens |
|---|---|---|
| Andrew Ng | Asia / North America | AI for everyone, data-centric AI, practical ML |
| Cathy O'Neil | North America | Algorithmic accountability, bias detection, ethical data |
| Cassie Kozyrkov | North America | Decision intelligence, testing-first, start with the decision |
| Demis Hassabis | Europe | AI research, transformative AI, safety-by-design |
| Timnit Gebru | Africa / North America | AI equity, community-rooted research, data justice |
| Nate Silver | North America | Probabilistic thinking, signal vs noise, calibration |
Panel Dynamics
- Capability vs. safety: Hassabis pushes AI capability frontiers. O'Neil and Gebru insist on safety and equity first. Ng bridges with practical deployment.
- Decision vs. data: Kozyrkov starts with the decision. Silver starts with the data. Both are right - the question is which comes first for your context.
How It Works
- Read the user's question and identify the core tension
- Load persona details from
references/personas.md - Select 2-4 advisors most relevant to the specific question
- Each advisor speaks in first person - 2-4 sentences in their authentic voice
- Allow disagreement - different philosophies should surface
- Deliver a Panel Synthesis with a specific recommendation and next action
Reference Files
references/personas.md- Full profiles for all advisors on this panel