Bridging the Gap Between Data Science and Real-Time Insights
In the world of AI and data science, timely data is crucial for generating actionable insights. Traditional workflows often involve delays between data requests and analysis, leading to outdated information. This “insights loop” hinders real-time decision-making and limits the effectiveness of AI models. By leveraging real-time data access, such as through Streambased, data scientists can break this loop, query live data streams, and integrate them with historical data.
Leo Delmouly
June 10, 2024
5 min
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