Data Pricing in Machine Learning Pipelines

Understand

Machine learning is disruptive.

• At the same time, machine learning can only succeed by collaboration among many parties in multiple steps naturally as pipelines in an eco-system, such as collecting data for possible machine learning applications, collaboratively training models by multiple parties and delivering machine learning services to end users.
• Data is critical and penetrating in the whole machine learning pipelines.
• As machine learning pipelines involve many parties and, in order to be successful, have to form a constructive and dynamic eco-system, marketplaces and data pricing are fundamental in connecting and facilitating those many parties.