Industrial Logistics & Supply Chain Education & Research Press Release
Understanding Ownership of Data in Industrial Automation Contracts
Original from AutomationWorld.com: Who Owns What Robots Learn? The Next Industrial Automation Contract Fight

Understanding Ownership of Data in Industrial Automation Contracts

In the realm of industrial automation, contracts typically grant operators ownership of their operational data, while vendors retain the right to utilize this data for training their models. This creates a complex situation where the influence of an operator's data becomes inseparable from the trained model, akin to how gas is consumed and becomes part of the power grid.

The implications of this arrangement are significant, as there is currently no standardized method to measure the contributions of individual sites to the overall performance of a shared model. Once data is used for training, it cannot be retrieved or quantified separately, making it challenging for operators to assess the value of their contributions.

Looking ahead, the proposed FTC John Deere settlement and the EU Data Act highlight the ongoing debate over data ownership and access rights in industrial automation. While these regulations aim to provide operators with more control over their data, the complexities surrounding model ownership remain unresolved. No further timeline was disclosed at the time of publication.

Editor's Note

The ongoing discussions around data ownership in industrial automation contracts reflect broader trends in technology adoption and regulatory frameworks. As enterprises increasingly rely on AI and machine learning, understanding the nuances of data rights and model ownership will be crucial for procurement professionals and decision-makers in the sector. The evolving legal landscape may influence future contracts and partnerships.

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