The development of any industry cannot be done without social expectations. The industrial
metaverse arises from customers' emphasis on their value, their desire for immersive …

Abstract 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 …

Data are invaluable. How can we assess the value of data objectively, systematically and
quantitatively? Pricing data, or information goods in general, has been studied and practiced …

Data is becoming an indispensable production factor for the modern economy, matching or
exceeding in importance traditional factors such as land, infrastructure, labor and capital. As …

Policymakers and analysts are heavily promoting data marketplaces to foster data trading
between companies. Existing business model literature covers individually owned …

Abstract Distributional data Shapley value (DShapley) has recently been proposed as a
principled framework to quantify the contribution of individual datum in machine learning …

In the increasingly connected business world, economic value is created less and less by
one company alone but rather through the combination and enrichment of data by various …

Data spaces receive considerable attention nowadays and are at the heart of numerous
large-scale European research initiatives shaping the data economy. Their goal is to …

The increasing demand for data-driven machine learning (ML) models has led to the
emergence of model markets, where a broker collects personal data from data owners to …

The vast advances in Machine Learning over the last ten years have been powered by the
availability of suitably prepared data for training purposes. The future of ML-enabled …