For Business Challenges
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Highly complex feature engineering and selection of right machine learning model
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Poor data quality, data bias, presence of outliers
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Inability to integrate multiple formats and new data types to build accurate forecasts quickly
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Static, instead of smart, assumptions despite real-time changes
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Manual, or point-in-time, forecasting creates a lag in real-time market dynamics