Send new data to Deployed model

asked 2021-04-27T17:54:43.177+00:00
yjay 256 Reputation points


We are sending data from a smartwatch -> IoT Central -> Event Hubs -> Data Explorer -> Blob Storage.

We are then using the blob storage as a datastore in Machine Learning, which we make a dataset of.

We deployed a model we trained locally to Azure Machine Learning.

We now want to send new data from the watch to the model to make predictions on.

We are wondering how we can do this?

Do we just update the dataset the same way we are currently sending the data? and if so, how can we then auto send it to the model?

Or is there another way to send this new data? Can we still send through blob storage? Or should we send the data directly from the watch to the webservice made by the model?

Thanks so much!

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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Azure Blob Storage
Azure Blob Storage
An Azure service that stores unstructured data in the cloud as blobs.
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Azure IoT Central
Azure IoT Central
An Azure hosted internet of things (IoT) application platform.
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Azure Data Explorer
Azure Data Explorer
An Azure data analytics service for real-time analysis on large volumes of data streaming from sources including applications, websites, and internet of things devices.
248 questions
Azure Event Hubs
Azure Event Hubs
An Azure real-time data ingestion service.
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Accepted answer
  1. answered 2021-04-27T22:16:06.013+00:00
    Sander van de Velde 15,141 Reputation points Microsoft MVP

    Hello @yjay ,

    so you get new data from devices and you want to predict using that data?

    Check out Azure Stream Analytics which can ingest messages from the Event Hub.

    Then, you can Azure ML as a function on make decisions based on the incoming data using ML.


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