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Real-Time Data in Machine Learning: Challenges and Solutions

September 9, 2022

In today’s dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated. There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution). In those cases, relying on batch data might be preferable. However, when you need real-time automated decision-making – utilizing a machine learning (ML) model with complex datasets – streaming data is the superior choice.

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