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BigQuery has introduced augmented analytics Table-Valued Functions (TVFs) that leverage AI, ML, and statistical methods to automate complex data analysis. These functions aim to help users diagnose metric changes, uncover trends, and assess the impact of business decisions.

MyDataWork POV — BigQuery's new augmented analytics functions promise to automate insight discovery, but the reality might not match the marketing gloss. AI, ML, and statistical analyses are powerful tools, yet the claim that these TVFs can 'isolate the true impact of business decisions' remains unproven without rigorous validation. Data professionals know that isolating causality in analytics is notoriously tricky, often requiring more than just automated functions. Until we see consistent, reproducible results, skepticism is warranted.
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