Causal Inference Methods for Bridging Experiments and Strategic Impact @aicouncilconf
Causal Inference Methods for Bridging Experiments and Strategic Impact  @aicouncilconf
Uploaded May 2025 | Updated September 2026, 2 weeks ago
[2025 - Day 1 - Data Science & Algos] Wenjing Zheng shares insights from connecting A/B test results to real-world business decisions at Roblox, exploring causal inference methods that bridge the gap between clean experimental measures and messy strategic choices. Whether you're attributing business growth to product launches or generalizing experiment results to broader populations, this talk offers valuable perspectives on building a common measurement language that connects local experimental results to global business impact.

ABOUT THE SPEAKER:
Wenjing Zheng, Data Science Manager, Roblox -

🎟️ GET YOUR TICKET TO AI COUNCIL 2026 🎟️
Meet the world's top AI infrastructure minds where architects of AI share what works. Three days of high-quality technical talks and meaningful interactions.

β†’ aicouncil.com/sf-2026

⚑ FIND US:
X: https://x.com/AICouncilConf
LinkedIn: linkedin.com/company/aicouncilconf
Website: aicouncil.com
Causal Inference Methods for Bridging Experiments and Strategic ImpactThe Modern Data Stack Lost the War: Stop Building more DataFrame APIs | OpenAIMore Than Query  Future Directions of Query Languages, from SQL to MorelA 101 in Time Series Analytics with Apache Arrow, Pandas and ParquetAn Opinionated Blueprint for Developing Production AI ApplicationsTrillion is the New Billion: Managing Really Large Multimodal Datasets for AI | LanceDBHow Product and Research Build Together at the Frontier | HexAI Launchpad 2026: CocoIndexOramaCore: A Search Database with LLMs Built In
AI Council |

Causal Inference Methods for Bridging Experiments and Strategic Impact

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER