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Home Health IoT Product
The Client is a major US retailer with an IoT product line for monitoring home health. The Client was interested in adding features to the product and post-installation QA. The business goal was to use machine learning (ML) to:
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Increase sales by including a highly-requested feature, mold detection alerts
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Reduce customer returns and proactively improve customer experience by detecting field failures
By developing and deploying a cloud-based deep learning anomaly detector to process the streaming sensor data, we were able successfully achieve both objectives simultaneously and cost effectively.
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