Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm that
emphasizes the importance of enhancing data systematically and at scale to build effective …

With the proliferation of data and advanced analytics, organizations are increasingly
recognizing the potential value of sharing data across organizational boundaries. However …

Data economy in a globalized world, opportunities and challenges for public and private
organizations | Electronic Markets Skip to main content SpringerLink Account Menu Find a …

With the increasing abundance of data, organizations may not only leverage internal data
sources to create value but also share data across organizations. However, successful real …

With the ongoing digitalization of complex systems, for example in manufacturing, domain
experts' detailed understanding of datasets is pivotal to effectively training machine learning …

Customer reviews from digital platforms are a vital data resource for recommender and other
decision support systems. The performance of these systems is highly dependent on the …

As organizations face the challenges of processing exponentially growing data volumes,
their reliance on analytics to unlock value from this data has intensified. However, the …

By using advanced algorithms and tools, organizations today are able to turn vast amounts
of data into actionable insight that guide strategies and optimize business processes. This …