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    Home»Financial Technology»Empowering Data Exploration: Natural Language Queries with Snowflake Cortex in SFS’s Quotient™
    Financial Technology

    Empowering Data Exploration: Natural Language Queries with Snowflake Cortex in SFS’s Quotient™

    FintechFetchBy FintechFetchFebruary 7, 2025No Comments1 Min Read
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    SFS and Quotient benefit significantly from this Cortex integration which has been developed with the assistance and expertise of our strategic development partner Kipi.ai. By leveraging Cortex Copilot, SFS can enhance user experience, drive engagement, and provide valuable insights more efficiently. Quotient users gain the ability to interact with their data intuitively, leading to improved productivity and better investment decision-making.

    While the examples we discussed regarding user activity are straightforward, they serve as a foundation for even more complex use cases. For instance, users will soon be able to request results from their last five backtests through the chatbot. In this scenario, Cortex Copilot can retrieve the relevant tables containing backtest results, allowing us to apply custom code to display the details in the user interface effectively.

    Cortex Copilot makes complex data analysis easy, fast and impactful.

    We encourage you to explore Quotient and try using Cortex Copilot for your data needs. Discover how these tools can transform your data analytics experience and empower you to make smarter, faster decisions.



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