This talk will take the listeners across a practical use case, where I will be showing how I processed more than 11.55M records of LinkedIn Data for candidates to create a RecSys for hiring idealized candidates based on a job description which is bespoke, and create my AI + Human in the loop. I will be showcasing how initially I was stuck in a loop where latency and processing these records in real-time was a problem, and how ClickHouse solved this.
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ClickHouse
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analytics
database
data_warehouse
olap
realtime
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AI is no longer just a buzzword—it’s a fundamental part of our daily lives. Forward-thinking organizations are embracing AI technologies, not just to stay competitive but to drive innovation, agility, and efficiency. When building AI platforms, the ability to process vast amounts of data in real-time is crucial to deliver optimised performance. This talk explores how ultra-fast analytics databases are transforming the AI landscape by enabling scalable, high-performance data processing.