In Data-Warehouse-Systemen (DWS) stehen verschiedene Möglichkeiten zur Verfügung, um Speicherkosten zu senken (wie Nearline-Storage oder Archivierung) oder Datenanalysezeiten zu verringern (wie durch die Verwendung von Hauptspeicher bzw. kompletter In-Memory-Datenhaltung). Bisher fehlte...

The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms have access to the same ML, but incumbents have access to historical data. We show that big data raises entrepreneurial barriers making the creative destruction process less...

Part I. Artificial intelligence : present and future -- 1. Human intelligence (HI) versus artificial intelligence (AI) and intelligence augmentation (IA) -- 2. Expecting the future: How AI's potential performance will shape current behavior -- Part II. The status of machine learning methods for...

Emerging technologies are in the core focus of supra-national innovation policies. These strongly rely on credible data bases for being effective and efficient. However, since emerging technologies are not yet part of any official industry, patent or trademark classification systems, delineating...