This conference is sponsored by EAI (European Alliance Innovation) in collaboration with Springer, and welcomes contributions from the following fields, but not limited to:

- Communication and Computation solutions for Big Data Analytics
- Artificial Intelligence and Machine Learning in Big data analytics
- Distributed and Federated Machine Learning for Big Data processing
- Data Visualization and Visual Analytics
- Scalable Computational Intelligence Tools
- Real-time Big Data processing and analysis
- Big Data security and privacy
- Big data applications and case-studies
- Ethical implications of Big data analysis
- Emerging Technologies, trends, and innovations in Big data analytics
- Big data applications in Internet of things and sensory systems
- Blockchain Technologies for Big data analytics
- Cloud-based Big data platforms
- Edge and fog computing for Big data analytics
- Data collection and pre-processing methodologies in Big data applications
- Natural Language Processing in Big Texts
- Biomedical Imaging Pre-processing and Analysis
- Structured and Unstructured Data Mining
- Deep Learning Architecture, Representations, Unsupervised and Supervised algorithms
- Neurmorphic Cognitive Learning Algorithms and Systems
- Artificial Intelligence in Healthcare and Medicine
- Artificial Intelligence in Precision Agriculture
- Novel Computational Intelligence Approaches for Data Analysis
- Evolutionary and Bio-inspired Approaches for Big Data Analysis
- New Domains and Novel Applications Related to Big Data Technologies
- Educational Data Mining, and Learning Analysis