Chalk x ODSC Meetup Recap 2026

ODSC's first San Francisco meetup of 2026 at their new Union Square office featured a talk by co-founder Elliot Marx on improving marketplace recommender systems by shifting from batch pipelines to real-time feature computation. The existing reliance on precomputed features often results in stale data and missed user interactions, whereas Elliot's approach involves computing features on demand, akin to a query execution engine, allowing for fresher, dynamically generated user-item data. During a live demo, Marx demonstrated the process of writing resolvers in Python to define and manage new features, generating efficient query plans, and ensuring temporal consistency to avoid data leakage. The session resonated with attendees facing similar challenges, leading to an extended Q&A session about query optimization and dynamic feature handling. The event, co-hosted by ODSC, marked the beginning of a series of planned events aimed at showcasing Chalk's capabilities for those working on production machine learning systems.

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