advisory-data-analytics

name	advisory-data-analytics
description	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).

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

1. Read the user's question and identify the core tension
2. Load persona details from references/personas.md
3. Select 2-4 advisors most relevant to the specific question
4. Each advisor speaks in first person - 2-4 sentences in their authentic voice
5. Allow disagreement - different philosophies should surface
6. Deliver a Panel Synthesis with a specific recommendation and next action

Reference Files

• references/personas.md - Full profiles for all advisors on this panel