In the past few months, several works were published in regards to the dynamics and early
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …

Machine learning heavily relies on data, but real-world applications often encounter various
data-related issues. These include data of poor quality, insufficient data points leading to …

Internationalization, digitalization, and sustainability are three key growth paths for firms. In
particular, the contemporary economy stresses the relevance of digital transformation as a …

The application of AI is expected to enable new opportunities for innovation management
and reshape innovation practice in organizations. Our exploratory study among 150 AI …

Although deep learning has historical roots going back decades, neither the term" deep
learning" nor the approach was popular just over five years ago, when the field was …

Digital computers have transformed work in almost every sector of the economy over the
past several decades (1). We are now at the beginning of an even larger and more rapid …

Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics,
cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer …

We analyze how artificial intelligence changes a significant part of the energy sector, the oil
and gas industry. We focus on the upstream segment as the most capital-intensive part of oil …

Since its beginning in the 1950s, the field of artificial intelligence has cycled several times
between periods of optimistic predictions and massive investment (" AI spring") and periods …

Business analytics refers to methods and practices that create value through data for
individuals, firms, and organizations. This field is currently experiencing a radical shift due to …