Real-Time Data in Machine Learning: Challenges and Solutions

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dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated.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 […]

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