Yi Sam Lee, Data Lead at Real Estate Analytics
At Real Estate Analytics (REA), we leverage ClickHouse to power real-time AI and analytics at scale. This talk will cover two key features: parallel extraction and parsing of webpages via S3, which accelerates the processing of large structured and unstructured web data, and slicing and dicing with primary keys and projections, enabling fast, flexible querying for AI models and business intelligence. Combined with our expertise in data science and machine learning, these capabilities drive our products—market insights, RealAgent suite (for agents), and RealInsight (for developers, investors, and institutional clients)—offering end-to-end solutions for informed decision-making. This talk will showcase real-world use cases, performance optimisations, and lessons learned in scaling ClickHouse for AI-driven real estate analytics.
The slides can be found at https://github.com/ClickHouse/clickhouse-presentations/blob/master/2025-meetup-singapore/Talk%202%20-%20Real%20Estate%20Analtyics%20-%20Singapore%20Meetup_25Feb25.pdf
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Using ClickHouse for AI by Maruthi Lokanathan
Maruthi Lokanathan, Solution Architect at ClickHouse
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ClickHouse at DoorDash
Patrick Rogers, a staff software engineer
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How to Leverage ClickHouse Vector Search Capabilities for Merchant Matching at Ramp
Peyton McCullough, Ramp Anton Biryukov, Ramp