Sessions
Keynotes
Panels
Talks
Building Reliable Text-to-SQL Agents with LLMs
From Zero to Insights: Building Reliable AI driven Analytics from Scratch
Machine Learning with Time-Series Data: From Notebook to Production
Personas of the Labs: A Tool for Studying LLM Behavioral and Belief Signatures
Who Is the Data Science Consultant? An Analysis of the CNSL Directory
Domain Modeling in the Age of AI: Why the Semantic Layer Is the New Bottleneck
Extraction Trees: Reliable Structured Data from Messy Text
From Analyst to Systems Thinker: Building Scalable Healthcare Analytics by Design
The Physics of LLM Inference: From First Principles to Cluster Scale
What AI Actually Changes About Being a Data Analyst
Arbitrage and Insider Trading in Polymarket: Evidence and Implications
Closing the Gap: Getting New Grads from Classroom-Ready to Market-Ready
Fixing AI Memory: A Deterministic, Hallucination-Free Architecture
Improvising Analytics Delivery: One UPC, Three Problems
Reading the Tea Leaves: Query Optimization with Postgres and AI
Beyond Chatbots: Agentic Systems as Cybernetic Control Loops
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
Why Half of AI Projects Die After the Demo
Embeddings at Scale: Lessons from LanceDB and the Lance Format
Weak-to-Strong Generalization for Better Retrieval and Reranking
Lightning Talks
Low Cost/Low Commitment Opportunities for Engaging Students in Data Science
The Customer Service Metric We’ve Been Getting Wrong for Decades
Raw Pixels Are a Liability: Building Privacy-First Computer Vision Agents
Less Data, Better Insights: Predicting Churn Using Customer Engagement Only
Harness Engineering: Data Modeling with AI Coding Agents
Everything, Everywhere, All at Once: A Better Job for the Robot