Sessions

AI in Practice

Building a Data Career

Founders in Data

Women in Data

Arbitrage and Insider Trading in Polymarket: Evidence and Implications

Beyond Chatbots: Agentic Systems as Cybernetic Control Loops

Building Reliable Text-to-SQL Agents with LLMs

Closing the Gap: Getting New Grads from Classroom-Ready to Market-Ready

Domain Modeling in the Age of AI: Why the Semantic Layer Is the New Bottleneck

Embeddings at Scale: Lessons from LanceDB and the Lance Format

Extraction Trees: Reliable Structured Data from Messy Text

Fixing AI Memory: A Deterministic, Hallucination-Free Architecture

From Analyst to Systems Thinker: Building Scalable Healthcare Analytics by Design

From Zero to Insights: Building Reliable AI driven Analytics from Scratch

Improvising Analytics Delivery: One UPC, Three Problems

Is AI Putting Data Science Teams Out of Work, Too?

Machine Learning with Time-Series Data: From Notebook to Production

Personas of the Labs: A Tool for Studying LLM Behavioral and Belief Signatures

Reading the Tea Leaves: Query Optimization with Postgres and AI

The Physics of LLM Inference: From First Principles to Cluster Scale

Weak-to-Strong Generalization for Better Retrieval and Reranking

What AI Actually Changes About Being a Data Analyst

When the Clock Is Public: Designing Analytics for High-Stakes Decisions Under Scrutiny

When the Delete Act Bites: CCPA Enforcement and the 2026 Data Landscape

Who Is the Data Science Consultant? An Analysis of the CNSL Directory

Why Half of AI Projects Die After the Demo

Event Registration

Lunch

Networking Event