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This is rather interesting development. Just last week I saw similar feature in IBM Watson being demoed on IBM Cloud. And now AWS Sagemaker has this capability.
by m23khan 7y ago
This is rather interesting development. Just last week I saw similar feature in IBM Watson being demoed on IBM Cloud. And now AWS Sagemaker has this capability.
Does this mean that going forward, for small-to-mid size IT companies and Corporates, the demand for Data scientists and ML developers would decrease?
- jpau 7y agoMy guess is it will, on average, increase demand. ML is finicky; the model training pipeline itself isn’t the hard part, compared to setting up for the right question and examples used to train the model. For small-to-mid firms, data scientists are super expensive. And they might only deliver a valuable project every six weeks (or, at bigger firms, every year...). If automl increases their productivity, suddenly they don’t look so expensive.
- m23khan 7y agogood point!
- streetcat1 7y agoRight. It will increase demand, since many area of the business will start using machine learning. However, the job of the DS will move toward the business side (e.g. req gathering, data gathering and prep) and less about the modeling itself. Also, there are a lot of data issues that are still in the releam of humans (e.g. imbalance data, correct labeling, etc).
- deleted 7y ago[deleted]