Year
Conference
Speaker
Title
2025
The New York Data Science & AI Conference
Chiraag Kala
Rethinking A/B Tests for Connected Users and Teams
2025
The New York Data Science & AI Conference
Max Kuhn
Measuring LLM Effectiveness
2025
The New York Data Science & AI Conference
Andrew Gelman
What's Going On In There? Bayesian Tools for Understanding a Fitted Model
2025
The New York Data Science & AI Conference
Karen Moon
AI-Enabled Lean Teams: The Evolving Playbook
2025
The New York Data Science & AI Conference
Jay Sen & Vikas Sawhney
Reshaping Enterprises During Era of Agentic AI - Becoming Frontier Firm
2025
The New York Data Science & AI Conference
Rick Saporta
The Future of Data Work: Leading Your Own Career Growth
2025
The New York Data Science & AI Conference
Ben Lerner
AI with ROI: How to Use ML to Cut Your Snowflake Bill in Half
2025
The New York Data Science & AI Conference
Abigail Haddad
Processing Document Collections with LLMs: A Practical Workflow
2025
The New York Data Science & AI Conference
Andrew Wallender
How to Use Free, Open-Source Text Embeddings to Accomplish Advanced Textual Analysis
2025
The New York Data Science & AI Conference
Xilin Chen
Using Quarto to Create Reports for Hospital Quality Improvement: Safely Lowering Cesarean Rates
2025
The New York Data Science & AI Conference
Gayan Seneviratna
Narratives in Data from the First Seven Months of Congestion Pricing
2025
The New York Data Science & AI Conference
Erin Grand
Dealing with Duplicate Data (in R)
2025
The New York Data Science & AI Conference
Jon Sege & Vincent Pan
From Prediction to Foundation: Deep Learning Models for Patient Care Optimization
2025
The New York Data Science & AI Conference
Swaptik Chowdhury
Understanding Artificial General Intelligence Futures: Toward a Shared Vocabulary for Policy Planning
2025
The New York Data Science & AI Conference
Daniel Chen
LLMs, Chatbots, and Dashboards: Visualize Your Data with Natural Language
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