LA4-120
Sessions in LA4-120
From Zero to Insights: Building Reliable AI driven Analytics from Scratch
How the Stellar Development Foundation built an analytics function from scratch — and how a semantic layer plus context engineering made AI-driven analytics genuinely reliable.
https://youtu.be/gD5LytH8JggFrom Analyst to Systems Thinker: Building Scalable Healthcare Analytics by Design
Healthcare analytics isn’t defined by the tools we use—it’s defined by how we think. Scalable analytics isn’t built by mastering more tools, but by thinking in systems. This session shares a practical systems thinking framework that can be applied across data models, analytics products, workflows, AI, and team operations to build analytics that adapts to changing business needs and scales over time.
https://youtu.be/zkAatYo6ah8Arbitrage and Insider Trading in Polymarket: Evidence and Implications
Empirical evidence on arbitrage, market efficiency, and insider trading in prediction markets, and what it means for their future design and regulation.
When the Delete Act Bites: CCPA Enforcement and the 2026 Data Landscape
California's Delete Act activates in August 2026 and radically strengthens privacy enforcement. The first- and second-order effects on data brokers, marketing, and AI labs.
https://youtu.be/mdGZNlw-79sEmbeddings at Scale: Lessons from LanceDB and the Lance Format
Storing hundreds of millions of multimodal embeddings exposes the limits of traditional vector stores. How the columnar Lance format handles it, with benchmarks and production pitfalls.
https://youtu.be/zIc7ZN1bgEM