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Challenges In this section, we discuss challenges around various data sources, datadrift caused by internal or external events, and solution reusability. For example, Amazon Forecast supports related time series data like weather, prices, economic indicators, or promotions to reflect internal and external related events.
This workflow will be foundational to our unstructured data-based machine learning applications as it will enable us to minimize human labeling effort, deliver strong model performance quickly, and adapt to datadrift.” – Jon Nelson, Senior Manager of Data Science and Machine Learning at United Airlines.
On a more advanced stance, everyone who has done SQL query optimisation will know that many roads lead to the same result, and semantically equivalent queries might have completely different syntax. The manual collection of training data for Text2SQL is particularly tedious.
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