Scope

We are in the middle of yet another renaissance of Artificial Intelligence. We believe that this time it will be different. Compared to the previous ones, we now not only have the futuristic ideas but we also have or are developing the necessary resources needed to make them happen, e.g. data, computing power/infrastructure, advanced algorithms, etc. Today’s increasingly more competitive business world needs artificial intelligence to leverage the most out of their limited assets to survive and to thrive. 

The mission of this journal and its section on AI in Business is to attract and publish cutting-edge research articles and, importantly, article collections that involve designing, developing, and deploying Artificial Intelligence methods and methodologies towards solving complex business problems. Manuscripts that report on studies where a fine balance is maintained between method/methodology development and business application are highly suitable for submission. Topics of relevance always relate to business and include but are not limited to:

·         Business understanding and problem identification
·         Data identification and understanding
·         Data acquisition and consolidation
·         Internet of things (IoT)-based data acquisition
·         Data cleaning, preparation, and transformation
·         Feature engineering
·         Variable selection
·         Data exploration and visualization
·         Data warehousing
·         Machine learning
·         Data mining
·         Test mining and text analytics
·         Web mining
·         Supervised and unsupervised learning
·         Shallow neural networks
·         Deep neural networks
·         Support vector machines
·         Decision trees
·         Prediction (classification or estimation) modeling
·         Model evaluation
·         Cross validation
·         Parameter optimization
·         Clustering and customer segmentation
·         Network science
·         Social analytics
·         Social network analysis
·         Customer analytics
·         Fraud detection
·         Financial analysis
·         Supply chain optimization
·         Business risk analysis
·         Managerial decision support
·         Decision automation

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