One of the things I hear time and time again from inventors is that data is machine learning’s (ML) most valuable asset. Afterall, an ML model is only as good as the quality and quantity of data that it is trained on.
In many fields, good quality data that can be used for training ML models is proprietary and can be plagued (depending on your viewpoint) by privacy issues. Furthermore, as soon as you give a third-party access to your data it is copyable, making it easy to quickly completely lose control of.
If data really is so valuable, the burning question is therefore whether it can be successfully protected and monetised.
Following are some points to consider when seeking to turn data into a potentially revenue-generating asset.
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