<ul><li>RelationalAI Inc. introduced new graph processing features for its software applications, aimed at enabling more efficient data analysis.</li><li>These capabilities were unveiled at the annual Snowflake Summit in San Francisco, focused on enhancing the functionality of Snowflake's cloud data platform.</li><li>The update includes new algorithms for graph analysis, such as path finding and egonet analysis, while also introducing support for graph neural networks (GNNs) for tasks like demand forecasting.</li><li>Other added features comprise text-to-reasoner capability, mathematical optimization solvers, and semantic views to enhance data analysis and decision-making within the Snowflake environment.</li></ul>

RelationalAI introduces new graph processing features for its Snowflake app

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