Leveraging ML-Powered Analytics for Rapid Insights and Action (a demonstration)
Description
The modern data stack makes it possible to query high-volume data with extremely high granularity, dimensionality, and cardinality. Operationalized machine learning is a great way to address this complex data, focusing the scope of analyst inquiry and quickly exposing dimensions, groups, and sub-groups of data with the greatest impact on key metrics. This session will discuss how to leverage operationalized AI/ML to automatically define millions of features and perform billions of simultaneous hypothesis tests across a wide dataset to identify key drivers of metric change. A technical demonstration will include an overview of leveraging the Databricks Lakehouse using Sisu’s AI/ML-powered decision intelligence platform: connecting to Databricks, defining metrics, automated AI/ML-powered analysis, and exposing actionable business insights. Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/
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